This dataset collects the slides that were presented at the Data Collaborations Across Boundaries session in SciDataCon 2022, part of the International Data Week.

The following session proposal was prepared by Tyng-Ruey Chuang and submitted to SciDataCon 2022 organizers for consideration on 2022-02-28. The proposal was accepted on 2022-03-28. Six abstracts were submitted and accepted to this session. Five presentations were delivered online in a virtual session on 2022-06-21.

Data Collaborations Across Boundaries

There are many good stories about data collaborations across boundaries. We need more. We also need to share the lessons each of us has learned from collaborating with parties and communities not in our familiar circles.

By boundaries, we mean not just the regulatory borders in between the nation states about data sharing but the various barriers, readily conceivable or not, that hinder collaboration in aggregating, sharing, and reusing data for social good. These barriers to collaboration exist between the academic disciplines, between the economic players, and between the many user communities, just to name a few. There are also cross-domain barriers, for example those that lay among data practitioners, public administrators, and policy makers when they are articulating the why, what, and how of "open data" and debating its economic significance and fair distribution. This session aims to bring together experiences and thoughts on good data practices in facilitating collaborations across boundaries and domains.

The success of Wikipedia proves that collaborative content production and service, by ways of copyleft licenses, can be sustainable when coordinated by a non-profit and funded by the general public. Collaborative code repositories like GitHub and GitLab demonstrate the enormous value and mass scale of systems-facilitated integration of user contributions that run across multiple programming languages and developer communities. Research data aggregators and repositories such as GBIF, GISAID, and Zenodo have served numerous researchers across academic disciplines. Citizen science projects and platforms, for instance eBird, Galaxy Zoo, and Taiwan Roadkill Observation Network (TaiRON), not only collect data from diverse communities but also manage and release datasets for research use and public benefit (e.g. TaiRON datasets being used to improve road design and reduce animal mortality). At the same time large scale data collaborations depend on standards, protocols, and tools for building registries (e.g. Archival Resource Key), ontologies (e.g. Wikidata and schema.org), repositories (e.g. CKAN and Omeka), and computing services (e.g. Jupyter Notebook). There are many types of data collaborations. The above lists only a few.

This session proposal calls for contributions to bring forward lessons learned from collaborative data projects and platforms, especially about those that involve multiple communities and/or across organizational boundaries. Presentations focusing on the following (non-exclusive) topics are sought after:

1. Support mechanisms and governance structures for data collaborations across organizations/communities.

2. Data policies --- such as data sharing agreements, memorandum of understanding, terms of use, privacy policies, etc. --- for facilitating collaborations across organizations/communities.

3. Traditional and non-traditional funding sources for data collaborations across multiple parties; sustainability of data collaboration projects, platforms, and communities.

4. Data workflows --- collection, processing, aggregation, archiving, and publishing, etc. --- designed with considerations of (external) collaboration.

5. Collaborative web platforms for data acquisition, curation, analysis, visualization, and education.

6. Examples and insights from data trusts, data coops, as well as other formal and informal forms of data stewardship.

7. Debates on the pros and cons of centralized, distributed, and/or federated data services.

8. Practical lessons learned from data collaboration stories: failure, success, incidence, unexpected turn of event, aftermath, etc. (no story is too small!).

Data Collaboration Platform Market Outlook

According to our latest research, the global Data Collaboration Platform market size reached USD 5.8 billion in 2024, reflecting robust demand across industries seeking unified data strategies. The market is positioned for sustained expansion, with a projected CAGR of 13.7% from 2025 to 2033. By the end of the forecast period, the Data Collaboration Platform market size is expected to achieve USD 18.4 billion. This growth is primarily driven by the escalating need for real-time data sharing, enhanced enterprise productivity, and stringent regulatory compliance requirements that push organizations toward secure, scalable, and collaborative data solutions.

One of the most significant growth factors propelling the Data Collaboration Platform market is the increasing digital transformation initiatives across industries. Enterprises are rapidly adopting cloud-based architectures and advanced analytics, necessitating platforms that enable seamless, secure, and real-time data sharing among distributed teams and partners. As organizations strive to break down data silos and foster collaboration, the demand for integrated solutions that offer data governance, integration, and analytics capabilities within a unified platform has surged. The proliferation of big data and the need for actionable insights are further amplifying the adoption of these platforms, as they facilitate efficient data access, sharing, and management across the organizational ecosystem.

Another key driver is the evolving regulatory landscape, which mandates robust data security and governance. Regulations such as GDPR, CCPA, and HIPAA are compelling organizations to implement platforms that ensure compliance while enabling collaboration. Data Collaboration Platforms are increasingly being equipped with advanced security features, including encryption, access controls, and audit trails, to address concerns around data privacy and unauthorized access. This trend is particularly pronounced in sectors like BFSI, healthcare, and government, where the sensitivity of data and the consequences of non-compliance are high. As a result, vendors are investing in technology enhancements to provide comprehensive compliance management and risk mitigation, further fueling market growth.

The rapid adoption of cloud technologies is another major catalyst for the Data Collaboration Platform market. Cloud deployment offers scalability, flexibility, and cost-effectiveness, making it an attractive option for organizations of all sizes. The shift toward remote and hybrid work models, accelerated by global events such as the COVID-19 pandemic, has underscored the necessity for platforms that support distributed collaboration. Cloud-based Data Collaboration Platforms enable seamless access to data from anywhere, at any time, and on any device, driving operational agility and business continuity. This has led to a marked increase in demand from small and medium enterprises (SMEs), which are leveraging these platforms to compete with larger counterparts.

As the market for Data Collaboration Platforms continues to grow, the integration of XR Collaboration Platforms is becoming increasingly relevant. These platforms offer immersive environments that enhance remote collaboration by allowing users to interact with data and colleagues in a virtual space. This capability is particularly beneficial for industries that require detailed visualization and spatial understanding, such as architecture, engineering, and design. By leveraging XR technologies, organizations can transcend geographical barriers, enabling teams to collaborate more effectively and make informed decisions in real-time. The convergence of XR and data collaboration technologies is poised to redefine how businesses approach teamwork and innovation, offering new dimensions of interaction and engagement.

From a regional perspective, North America remains the largest contributor to the Data Collaboration Platform market, driven by a mature technological landscape, early adoption of digital solutions, and a strong presence of leading vendors. Europe follows closely, with stringent regulatory frameworks and a focus on data sovereignty shaping market dynamics. The Asia Pacific region is emerging as a high-growth market, fueled by rapid industrialization, increasing IT investment, and a

Consent-Based Data Collaboration Market Outlook

According to our latest research, the global consent-based data collaboration market size in 2024 stands at USD 2.87 billion, reflecting the increasing emphasis on privacy-compliant data sharing and collaborative analytics. The market is experiencing robust momentum, registering a CAGR of 19.4% from 2025 to 2033. By the end of 2033, the market is forecasted to reach an impressive USD 13.87 billion. This growth is primarily fueled by stringent data privacy regulations, the proliferation of data-driven business models, and the rising need for secure, transparent, and compliant data collaboration across industries.

One of the primary growth factors driving the consent-based data collaboration market is the intensification of global data privacy regulations such as GDPR, CCPA, and other regional frameworks. Organizations are now compelled to adopt advanced solutions that guarantee explicit user consent before data is shared or processed. This regulatory landscape has forced enterprises to reevaluate their data management strategies, resulting in a surge of demand for platforms and software that enable secure, auditable, and compliant data collaboration. Furthermore, organizations are increasingly recognizing the reputational and operational risks associated with non-compliance, thereby accelerating investments in consent-based data collaboration solutions. The heightened regulatory scrutiny is not only prompting businesses to safeguard consumer trust but also enabling them to unlock new value from data sharing initiatives, provided these are executed within the boundaries of explicit consent.

Another significant driver is the exponential growth in data volumes generated by digital transformation initiatives across sectors such as healthcare, financial services, retail, and government. The need to leverage this vast amount of data for advanced analytics, AI, and machine learning applications is compelling organizations to seek secure collaboration frameworks that respect individual privacy and consent. The adoption of cloud technologies and the proliferation of connected devices have further amplified the complexity of data ecosystems, necessitating robust consent management and collaboration tools. As organizations increasingly operate in multi-cloud and hybrid environments, the ability to seamlessly and securely share data across organizational boundaries while maintaining compliance is becoming a key competitive differentiator. This trend is particularly pronounced in industries where sensitive personal data is routinely processed, making consent-based data collaboration indispensable.

Additionally, the growing public awareness and concern regarding data privacy are influencing organizational strategies and consumer expectations. Individuals are demanding greater transparency and control over how their data is used and shared, prompting businesses to implement user-centric consent management mechanisms. This shift is fostering a culture of trust and accountability, which is essential for successful data collaboration initiatives. The integration of consent-based data collaboration solutions into existing IT infrastructures is enabling organizations to not only comply with legal requirements but also to enhance customer engagement and loyalty. As digital ecosystems become more interconnected, the ability to facilitate secure, consent-driven data exchanges is expected to be a cornerstone of future business models, further propelling market growth.

From a regional perspective, North America continues to dominate the consent-based data collaboration market, accounting for the largest revenue share in 2024. This leadership is attributed to the region’s advanced technological infrastructure, early adoption of privacy regulations, and the presence of key market players. Europe follows closely, driven by stringent regulatory mandates and a mature data protection culture. Meanwhile, Asia Pacific is emerging as the fastest-growing region, supported by rapid digitalization, increasing regulatory activities, and a burgeoning ecosystem of data-centric enterprises. Latin America and the Middle East & Africa are also witnessing steady adoption, albeit at a slower pace, as regulatory frameworks evolve and digital transformation initiatives gain momentum. The regional dynamics are expected to remain fluid, with cross-border data collaboration and harmonization of privacy standards shaping the market landscape over the forecast period.
<

How do you manage, track, and share hydrologic data and models within your research group? Do you find it difficult to keep track of who has access to which data and who has the most recent version of a dataset or research product? Do you sometimes find it difficult to share data and models and collaborate with colleagues outside your home institution? Would it be easier if you had a simple way to share and collaborate around hydrologic datasets and models? HydroShare is a new, web-based system for sharing hydrologic data and models with specific functionality aimed at making collaboration easier. Within HydroShare, we have developed new functionality for creating datasets, describing them with metadata, and sharing them with collaborators. In HydroShare we cast hydrologic datasets and models as “social objects” that can be published, collaborated around, annotated, discovered, and accessed. In this presentation, we will discuss and demonstrate the collaborative and social features of HydroShare and how it can enable new, collaborative workflows for you, your research group, and your collaborators across institutions. HydroShare’s access control and sharing functionality enable both public and private sharing with individual users and collaborative user groups, giving you flexibility over who can access data and at what point in the research process. HydroShare can make it easier for collaborators to iterate on shared datasets and models, creating multiple versions along the way, and publishing them with a permanent landing page, metadata description, and citable Digital Object Identifier (DOI). Functionality for creating and sharing resources within collaborative groups can also make it easier to overcome barriers such as institutional firewalls that can make collaboration around large datasets difficult. Functionality for commenting on and rating resources supports community collaboration and quality evaluation of resources in HydroShare.

This presentation was delivered as part of a Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) Cyberseminar in June 2016. Cyberseminars are recorded, and archived recordings are available via the CUAHSI website at http://www.cuahsi.org.

Data Collaboration Platform Market Outlook

According to our latest research, the global Data Collaboration Platform market size reached USD 4.85 billion in 2024, with an observed compound annual growth rate (CAGR) of 13.2%. The market is projected to expand robustly, reaching USD 14.18 billion by 2033. This dynamic growth is driven by increased enterprise adoption of cloud-based solutions, the exponential rise in data generation, and the growing need for secure, real-time collaboration across distributed teams and business ecosystems. As organizations prioritize digital transformation and data-driven decision-making, the Data Collaboration Platform market is expected to remain a critical enabler of business agility and innovation.

One of the primary growth factors fueling the Data Collaboration Platform market is the surge in demand for seamless data integration and sharing across organizational boundaries. Enterprises are increasingly seeking platforms that facilitate secure, compliant, and real-time data exchange between departments, partners, and customers. The proliferation of big data, IoT devices, and cloud-native applications has created complex data environments, making it essential for organizations to deploy advanced collaboration platforms. These platforms not only break down data silos but also empower users with self-service analytics, enhancing productivity and accelerating innovation cycles. As a result, businesses across diverse sectors are investing in robust data collaboration solutions to gain a competitive edge and respond swiftly to market changes.

Another significant driver is the heightened focus on data governance, privacy, and security. With the implementation of stringent data protection regulations such as GDPR, CCPA, and other regional frameworks, organizations are compelled to ensure that data collaboration does not compromise compliance. Modern data collaboration platforms are equipped with advanced features like role-based access control, data lineage, audit trails, and encryption, enabling organizations to maintain control over sensitive information while fostering collaboration. Furthermore, the growing prevalence of hybrid and remote work models has intensified the need for secure platforms that enable geographically dispersed teams to work together efficiently, further propelling market growth.

Technological advancements and the integration of artificial intelligence (AI) and machine learning (ML) are also contributing to the expansion of the Data Collaboration Platform market. AI-powered platforms offer intelligent recommendations, automate data preparation, and enhance data quality, making collaboration more effective and less time-consuming. Additionally, the shift towards cloud-native architectures and the adoption of low-code/no-code solutions are democratizing access to data collaboration tools, allowing non-technical users to participate actively in data-driven projects. These innovations are reducing the barriers to entry and fostering widespread adoption across organizations of all sizes, from large enterprises to small and medium businesses.

From a regional perspective, North America continues to dominate the Data Collaboration Platform market, accounting for the largest share in 2024, driven by the presence of leading technology vendors, high digital maturity, and early adoption of advanced collaboration tools. However, the Asia Pacific region is witnessing the fastest growth, supported by rapid digitalization, expanding IT infrastructure, and increasing investments in cloud technologies. Europe also holds a significant market share, underpinned by strong regulatory frameworks and a focus on data privacy and security. Meanwhile, markets in Latin America and the Middle East & Africa are gradually gaining momentum, as organizations in these regions recognize the value of data-driven collaboration for business transformation and competitiveness.

Component Analysis

The Data Collaboration Platform market is segmented by component into Software and Services, each playing a pivotal role in enabling seamless data collaboration across organizations. The software segment encompasses a wide array of solutions, including data integration tools, collaborative analytics platforms, data governance modules, and data security features. These software solutions are designed to facilitate real-time data sharing, visualization, and analysis, empowering users

Secure Data Collaboration Platforms Market Outlook

According to our latest research, the global Secure Data Collaboration Platforms market size reached USD 2.4 billion in 2024, reflecting robust adoption across critical industries. The market is projected to expand at a CAGR of 15.6% from 2025 to 2033, culminating in a forecasted market size of USD 8.3 billion by 2033. This impressive growth is primarily driven by the escalating need for secure, compliant, and efficient data sharing solutions in an era defined by stringent regulatory requirements and an ever-expanding threat landscape.

The rapid digitization of business processes and the proliferation of remote and hybrid work models are key growth factors fueling the Secure Data Collaboration Platforms market. Organizations are increasingly reliant on collaborative workflows that span geographies, departments, and partner ecosystems, necessitating platforms that ensure data integrity, confidentiality, and regulatory compliance. The rise in sophisticated cyberattacks, including ransomware and data breaches, has underscored the critical importance of secure data exchange, prompting enterprises to invest in advanced collaboration platforms that offer robust encryption, granular access controls, and real-time monitoring. The integration of artificial intelligence and machine learning capabilities further enhances these platforms, enabling proactive threat detection and automated policy enforcement, thereby strengthening the overall security posture of organizations.

Another significant growth driver is the evolving regulatory landscape, particularly in sectors such as BFSI, healthcare, and government, where compliance with data protection laws like GDPR, HIPAA, and CCPA is non-negotiable. Secure Data Collaboration Platforms are increasingly viewed as essential tools for achieving and demonstrating compliance, as they provide auditable trails, data loss prevention features, and seamless integration with existing security infrastructures. The need to balance collaboration with stringent data governance is pushing enterprises to adopt platforms that can accommodate both internal and external stakeholders without compromising on security or productivity. As organizations expand their digital ecosystems, the demand for scalable, interoperable, and user-friendly secure collaboration solutions is expected to surge.

From a regional perspective, North America continues to dominate the Secure Data Collaboration Platforms market, accounting for the largest revenue share in 2024. This dominance is attributed to the high concentration of technology-driven enterprises, early adoption of cloud-based solutions, and a mature cybersecurity ecosystem. However, the Asia Pacific region is witnessing the fastest growth, propelled by rapid digital transformation, increasing investments in cybersecurity infrastructure, and a burgeoning startup ecosystem. Europe remains a significant market, driven by strict data protection regulations and a strong focus on privacy. In contrast, Latin America and the Middle East & Africa are emerging markets, characterized by growing awareness of data security and increasing government initiatives to promote digitalization. The competitive landscape is becoming increasingly dynamic, with global and regional players vying for market share through innovation, strategic partnerships, and mergers and acquisitions.

Component Analysis

The Secure Data Collaboration Platforms market is segmented by component into Software and Services. The software segment remains the dominant force, accounting for the majority of market revenue in 2024. This segment comprises a wide array of solutions, including secure messaging, file sharing, document collaboration, and integrated workflow management tools. The demand for feature-rich, scalable, and user-friendly software platforms is driven by the need for seamless collaboration across enterprise boundaries while maintaining stringent security protocols. Advanced software offerings integrate end-to-end encryption, multi-factor authentication, and real-time analytics,

Background: Scientific research in the 21st century is more data intensive and collaborative than in the past. It is important to study the data practices of researchers –data accessibility, discovery, re-use, preservation and, particularly, data sharing. Data sharing is a valuable part of the scientific method allowing for verification of results and extending research from prior results. Methodology/Principal Findings: A total of 1329 scientists participated in this survey exploring current data sharing practices and perceptions of the barriers and enablers of data sharing. Scientists do not make their data electronically available to others for various reasons, including insufficient time and lack of funding. Most respondents are satisfied with their current processes for the initial and short-term parts of the data or research lifecycle (collecting their research data; searching for, describing or cataloging, analyzing, and short-term storage of their data) but are not satisfied with long-term data preservation. Many organizations do not provide support to their researchers for data management both in the short- and long-term. If certain conditions are met (such as formal citation and sharing reprints) respondents agree they are willing to share their data. There are also significant differences and approaches in data management practices based on primary funding agency, subject discipline, age, work focus, and world region. Conclusions/Significance: Barriers to effective data sharing and preservation are deeply rooted in the practices and culture of the research process as well as the researchers themselves. New mandates for data management plans from NSF and other federal agencies and world-wide attention to the need to share and preserve data could lead to changes. Large scale programs, such as the NSF-sponsored DataNET (including projects like DataONE) will both bring attention and resources to the issue and make it easier for scientists to apply sound data management principles.

Researchers across the country and around the world expend tremendous resources to gather and analyze vast stores of data and populate models to better understand the process they are studying. Each of those researchers has limited money, time, computational capacity, data storage, and ability to put that data to productive use. What if they could combine their efforts to make collaboration easier? What if those collected data sets and processed model outputs could be used collaboratively to help advance knowledge beyond their original purpose? It is these questions that are motivating the movement towards open data, better data management and collaboration and sharing in the use of data and models. In short, researchers are relying more on teamwork to tackle the big problems of the day. This presentation will describe the HydroShare web based hydrologic information system operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) that is available for use as a service to the hydrology community. HydroShare includes a repository for users to share and publish data and models in a variety of formats, and to make this information available in a citable, shareable, and discoverable manner. HydroShare also includes tools (web apps) that can act on content in HydroShare, providing users with a gateway to high performance computing and computing in the cloud. HydroShare has components that support: (1) resource storage, (2) resource exploration, and (3) web apps for actions on resources. The HydroShare data discovery, sharing and publishing functions as well as HydroShare web apps provide the capability to analyze data and execute models completely in the cloud, overcoming desktop platform limitations. We will discuss how these developments can be used to support collaborative research and modeling in Hydrology, where being web based is of value as collaborators can all have access to the same functionality regardless of their computer. We will illustrate the use of HydroShare for collecting and making accessible to the community data from the US National Water Model and 2017 Atlantic Hurricanes Harvey, Irma and Maria that had significant impacts on parts of the US and islands in the Caribbean. HydroShare is being used to assemble, document and archive hydrologic data from these events to support research to improve our understanding of and capability to prepare for and respond to such extreme events in the future.

Presentation at 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/.

Data Collaboration Governance AI Market Outlook

According to our latest research, the global Data Collaboration Governance AI market size reached USD 2.13 billion in 2024, with robust expansion driven by increasing regulatory demands, rapid digital transformation, and the proliferation of collaborative data ecosystems across industries. The market is set to register a compelling CAGR of 21.8% from 2025 to 2033, projecting a market size of USD 15.26 billion by the end of 2033. This remarkable growth is fueled by the urgent need for advanced governance frameworks that can address the complexities of data privacy, compliance, and security in collaborative environments, as data sharing and integration become critical to organizational success.

One of the primary growth factors propelling the Data Collaboration Governance AI market is the escalating regulatory landscape worldwide. Organizations are facing mounting pressure to comply with evolving data protection laws such as GDPR in Europe, CCPA in the United States, and similar frameworks in Asia Pacific. These regulations mandate strict controls over data access, usage, and sharing, making it imperative for enterprises to adopt AI-powered governance solutions that ensure transparency, accountability, and continuous compliance. As collaborative data initiatives expand across supply chains, partners, and ecosystems, AI-driven governance tools are becoming indispensable for automating compliance checks, monitoring data flows, and mitigating risks associated with data misuse or unauthorized access.

Another significant driver is the exponential growth in data volume and diversity, which has transformed the way organizations manage and govern information. With the rise of cloud-based platforms, remote work, and multi-party collaborations, enterprises are increasingly challenged by data silos, inconsistent data quality, and fragmented governance processes. AI-powered data collaboration governance platforms address these challenges by enabling automated data cataloging, lineage tracking, and real-time policy enforcement. These capabilities not only streamline data access and sharing but also enhance data quality, integrity, and trust across collaborative networks. As businesses recognize the strategic value of data-driven decision-making, investments in intelligent governance frameworks are accelerating.

Furthermore, the integration of advanced analytics and machine learning within data governance frameworks is unlocking new opportunities for proactive risk management and operational efficiency. AI-powered solutions can detect anomalies, predict compliance breaches, and recommend corrective actions, allowing organizations to move from reactive to proactive governance. This shift is particularly crucial for industries such as BFSI, healthcare, and government, where data sensitivity and regulatory scrutiny are exceptionally high. As a result, the demand for AI-enabled governance solutions that can deliver scalable, adaptive, and context-aware controls is surging, driving sustained market growth.

From a regional perspective, North America currently dominates the Data Collaboration Governance AI market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The strong presence of leading technology providers, early adoption of AI-driven governance solutions, and stringent regulatory frameworks contribute to North America's leadership. Meanwhile, Asia Pacific is emerging as the fastest-growing region, fueled by rapid digitalization, expanding cloud adoption, and increasing regulatory initiatives. Europe maintains a significant market share due to its mature regulatory environment and high awareness of data privacy issues. Latin America and the Middle East & Africa are also witnessing growing adoption, albeit at a slower pace, as organizations in these regions begin to prioritize data governance in their digital strategies.

Component Analysis

The Data Collaboration Governance AI market is segmented by component into Software, Services, and Platfo

Incident Data Sharing Platforms Market Outlook

According to our latest research, the global Incident Data Sharing Platforms market size reached USD 3.45 billion in 2024, demonstrating robust momentum across key verticals. The market is expected to expand at a remarkable CAGR of 17.2% from 2025 to 2033, propelling the market to a forecasted value of USD 13.27 billion by 2033. This growth is primarily driven by increasing cyber threats, heightened regulatory requirements, and the need for real-time collaboration among security stakeholders. The ongoing digital transformation across industries and the proliferation of connected devices have further intensified the demand for advanced incident data sharing platforms, solidifying their role as critical components in modern risk management and cybersecurity frameworks.

One of the primary growth factors fueling the Incident Data Sharing Platforms market is the escalating frequency and sophistication of cyberattacks globally. Organizations face a rapidly evolving threat landscape, with attackers employing advanced tactics that often bypass traditional security measures. In response, enterprises are prioritizing collaborative threat intelligence and incident response capabilities, which incident data sharing platforms facilitate. These solutions enable organizations to share real-time incident data, indicators of compromise, and actionable intelligence with peers, industry groups, and regulatory bodies. By fostering a collective defense approach, these platforms help organizations detect, analyze, and mitigate threats more efficiently, thereby reducing the potential impact of cyber incidents and ensuring business continuity.

Another significant driver is the growing emphasis on regulatory compliance and data privacy across sectors such as BFSI, healthcare, and government. Regulatory frameworks like GDPR, HIPAA, and industry-specific mandates require organizations to maintain robust incident reporting and data sharing mechanisms. Incident data sharing platforms streamline compliance by automating the collection, documentation, and dissemination of incident data in accordance with regulatory standards. Furthermore, these platforms provide audit trails, reporting tools, and integration with compliance management systems, making it easier for organizations to demonstrate due diligence and adhere to evolving regulatory requirements. As regulatory scrutiny intensifies worldwide, these compliance-driven capabilities are becoming indispensable for organizations aiming to avoid penalties and reputational damage.

Technological advancements and the integration of artificial intelligence (AI) and machine learning (ML) are further propelling the adoption of incident data sharing platforms. Modern solutions leverage AI and ML to automate threat detection, correlate incident data from diverse sources, and provide predictive insights that enhance response strategies. The increasing adoption of cloud-based deployment models also contributes to market growth by offering scalability, flexibility, and seamless integration with existing security infrastructures. These innovations are particularly beneficial for small and medium enterprises (SMEs) seeking cost-effective and agile solutions to strengthen their cybersecurity posture. The convergence of advanced technologies and cloud capabilities is expected to accelerate platform adoption across all organization sizes and industry verticals in the coming years.

From a regional perspective, North America currently dominates the Incident Data Sharing Platforms market, accounting for the largest revenue share due to its mature cybersecurity ecosystem, stringent regulatory environment, and concentration of leading technology providers. Europe follows closely, driven by robust data protection laws and active government initiatives promoting cross-border threat intelligence sharing. The Asia Pacific region is poised for the fastest growth, fueled by rapid digitalization, increasing cyber threats, and rising awareness among enterprises regarding the importance of collaborative security measures. Latin America and the Middle East & Africa are also witnessing steady adoption, supported by growing investments in cybersecurity infrastructure and evolving regulatory landscapes. These regional dynamics underscore the global imperative for enhanced incident data sharing and collaboration in combating cyber threats.

Component Analysis

The Inci

EO Data Clean Room Collaboration Tools Market Outlook

According to our latest research, the EO Data Clean Room Collaboration Tools market size reached USD 1.42 billion globally in 2024, and it is anticipated to grow at a robust CAGR of 17.8% during the forecast period. By 2033, the market is forecasted to attain a value of USD 6.18 billion. The primary growth driver for this market is the increasing demand for privacy-compliant data collaboration solutions across various industries, propelled by stricter data privacy regulations and the need for secure, scalable data sharing environments.

The EO Data Clean Room Collaboration Tools market is experiencing significant momentum due to the rising emphasis on data privacy and regulatory compliance. Organizations are increasingly seeking solutions that allow them to collaborate on sensitive data without compromising privacy or breaching regulations such as GDPR, CCPA, and HIPAA. The proliferation of digital data and the growing use of third-party data for analytics, marketing, and operational improvements have made data clean rooms indispensable. These tools enable organizations to extract insights from combined datasets while maintaining strict access controls, encryption, and anonymization, helping them mitigate the risks associated with data breaches and non-compliance. As a result, enterprises across industries are ramping up investments in EO data clean room collaboration technologies to future-proof their data strategies.

Another key growth factor is the rapid digital transformation across sectors such as healthcare, financial services, retail, and government. The integration of advanced analytics, artificial intelligence, and machine learning into business operations has increased the need for collaborative data environments that are both secure and scalable. EO Data Clean Room Collaboration Tools are uniquely positioned to address these needs by offering robust capabilities for data integration, analytics, and privacy management. The surge in cloud adoption, remote work, and cross-border data collaborations has further amplified the demand for these tools, as organizations strive to enable seamless data sharing while adhering to local and international privacy laws. This trend is expected to accelerate as more organizations recognize the strategic value of secure data collaboration in driving innovation and competitive advantage.

Furthermore, the market is benefiting from technological advancements and the emergence of new business models that rely heavily on data-driven decision-making. The ability to securely collaborate on data with external partners, suppliers, and customers is becoming a critical differentiator for organizations aiming to enhance customer experiences, optimize supply chains, and drive targeted marketing campaigns. EO Data Clean Room Collaboration Tools facilitate these collaborations by providing a secure environment for joint data analysis, reducing the risk of data leakage and ensuring that sensitive information remains protected. The growing awareness of the potential financial and reputational damage caused by data breaches is prompting organizations to adopt these tools proactively, fueling market growth.

Regionally, North America continues to dominate the EO Data Clean Room Collaboration Tools market, driven by the presence of leading technology providers, early adoption of privacy regulations, and a strong focus on data-driven innovation. However, Asia Pacific is emerging as a high-growth region, supported by rapid digitalization, increasing regulatory scrutiny, and the expansion of cloud infrastructure. Europe also holds a significant market share, owing to stringent data privacy laws and a mature technology ecosystem. Latin America and the Middle East & Africa are witnessing steady growth, albeit from a smaller base, as organizations in these regions begin to prioritize data privacy and secure collaboration in their digital transformation journeys.

Component Analysis

The EO Data Clean Room Collaboration Tools market is segmented by component into software and services, each playing a pivotal role in facilitating secure, privacy-compliant data collaboration. The software segment comprises platforms and solutions that enable organizations to manage, analyze, and share data securely within a controlled environment. These platforms typically offer features such as data encryption, a

Secure Data Collaboration Platform Market Outlook

According to our latest research, the Secure Data Collaboration Platform market size reached USD 3.9 billion in 2024, and is anticipated to grow at a robust CAGR of 13.1% from 2025 to 2033. By the end of the forecast period, the market is projected to achieve a value of USD 11.9 billion by 2033. This significant growth is driven by the increasing need for secure, compliant, and seamless data sharing across organizations, particularly as digital transformation accelerates and remote work becomes more prevalent globally.

The primary growth factor for the Secure Data Collaboration Platform market is the escalating risk of cyber threats and data breaches, which has made secure data exchange a top priority for enterprises. Organizations across verticals such as BFSI, healthcare, government, and manufacturing are increasingly adopting secure collaboration platforms to safeguard sensitive information while enabling efficient teamwork. The proliferation of cloud-based solutions, coupled with stringent data protection regulations such as GDPR, HIPAA, and CCPA, is further compelling businesses to invest in advanced secure data collaboration technologies. These platforms offer end-to-end encryption, granular access controls, and real-time monitoring, addressing the critical need for data privacy and regulatory compliance in today’s interconnected business landscape.

Another key driver fueling market expansion is the rapid adoption of hybrid and remote work models. The shift towards distributed teams has heightened the requirement for platforms that not only facilitate collaboration but also ensure that data remains protected regardless of where users are located. Secure data collaboration platforms bridge this gap by offering secure file sharing, collaborative document editing, and integrated communication tools, all within a protected environment. The integration of artificial intelligence and machine learning into these platforms is further enhancing their capabilities, enabling automated threat detection, data loss prevention, and anomaly monitoring, thus providing organizations with proactive security measures.

The growing complexity of data ecosystems and the increasing volume of unstructured data are also contributing to the demand for secure data collaboration platforms. Enterprises are seeking solutions that can seamlessly integrate with existing IT infrastructures, support a wide range of file formats, and provide scalability to accommodate future growth. Additionally, the rise of industry-specific requirements, such as secure medical data sharing in healthcare or confidential deal room collaboration in financial services, is driving vendors to develop tailored solutions that address unique sectoral challenges. This trend is expected to continue, with vendors investing in research and development to deliver differentiated offerings that cater to the evolving needs of diverse industries.

Regionally, North America dominates the Secure Data Collaboration Platform market, accounting for the largest share in 2024, primarily due to the high concentration of technology-driven enterprises, advanced IT infrastructure, and early adoption of cloud and security solutions. Europe follows closely, propelled by stringent data privacy regulations and growing digitalization across industries. The Asia Pacific region is emerging as a lucrative market, supported by rapid economic growth, increasing internet penetration, and government initiatives to promote secure digital transformation. Latin America and the Middle East & Africa are also witnessing steady growth, albeit at a slower pace, as organizations in these regions gradually recognize the importance of secure data collaboration in driving business efficiency and resilience.

Component Analysis

The Component segment of the Secure Data Collaboration Platform market is divided into software and services. Software solutions form the backbone of the mar

Data Collaboration for AdTech Market Outlook

According to our latest research, the global Data Collaboration for AdTech market size reached USD 6.3 billion in 2024, reflecting robust adoption across digital advertising ecosystems. The market is expected to grow at a CAGR of 14.1% from 2025 to 2033, reaching a forecasted value of USD 20.8 billion by 2033. This growth is primarily driven by the increasing demand for privacy-compliant data sharing, advanced audience insights, and the rising complexity of digital advertising strategies in a post-cookie world.

One of the most significant growth factors propelling the Data Collaboration for AdTech market is the intensifying need for privacy-centric data sharing frameworks. As regulatory environments such as GDPR in Europe and CCPA in California impose stricter controls on personal data usage, advertisers and publishers are turning to collaborative platforms that enable secure, compliant data exchanges. These platforms empower brands and agencies to access richer, anonymized datasets, facilitating improved targeting and measurement without infringing on user privacy. The transition away from third-party cookies has further accelerated this trend, as industry players seek innovative methods to maintain personalization and campaign effectiveness. The adoption of clean rooms, federated learning, and encrypted data environments is thus witnessing a notable surge, enabling seamless yet secure collaboration between stakeholders in the AdTech value chain.

Technological advancements are another pivotal driver of growth in the Data Collaboration for AdTech market. The integration of artificial intelligence, machine learning, and advanced analytics into collaborative platforms is enabling advertisers and agencies to unlock deeper audience insights, optimize campaign performance, and detect fraud more effectively. These technologies facilitate the aggregation and analysis of disparate data sources, including first-party, second-party, and third-party data, in real-time. As a result, brands can execute highly targeted campaigns, measure attribution accurately, and refine their strategies based on actionable intelligence. The continuous evolution of cloud-based solutions and APIs is also making it easier for organizations of all sizes to participate in data collaboration, democratizing access to sophisticated AdTech capabilities and fostering a more competitive landscape.

The proliferation of digital channels and the fragmentation of consumer attention have made data collaboration indispensable for AdTech stakeholders. With audiences engaging across multiple platforms—social media, streaming services, mobile apps, and connected TV—advertisers require holistic, cross-channel insights to orchestrate cohesive campaigns. Data collaboration platforms facilitate the integration of data from diverse sources, enabling unified audience profiles and seamless campaign management. Moreover, the growing importance of omnichannel marketing has heightened the need for interoperable data solutions that can bridge silos between advertisers, publishers, agencies, and ad networks. This trend is particularly pronounced among global brands seeking to deliver consistent, personalized experiences across regions and devices, further fueling market expansion.

From a regional perspective, North America continues to dominate the Data Collaboration for AdTech market, accounting for the largest share in 2024. This leadership is underpinned by the region’s advanced digital advertising infrastructure, high concentration of AdTech vendors, and early adoption of privacy-enhancing technologies. Europe follows closely, driven by stringent data protection regulations and a mature advertising ecosystem. The Asia Pacific region, meanwhile, is witnessing the fastest growth, propelled by rapid digitization, burgeoning e-commerce, and increasing investments in MarTech solutions. Latin America and the Middle East & Africa are emerging markets, gradually embracing data collaboration as digital advertising matures and regulatory frameworks evolve. The interplay of regional dynamics, regulatory pressures, and technological innovation is shaping a highly dynamic global landscape for Data Collaboration in AdTech.

Component Analysis

The Data Collaboration for AdTech market is segmented by component into Software, Services, and Platforms, each playing a distinct role in shaping the industry’s evolution. Software solutions form the

Data Collaboration Platforms for Financial Services Market Outlook

According to our latest research, the global Data Collaboration Platforms for Financial Services market size reached USD 4.8 billion in 2024, driven by the increasing demand for secure data sharing and advanced analytics across the financial sector. The market is expected to grow at a robust CAGR of 13.2% during the forecast period, reaching USD 14.4 billion by 2033. This impressive growth is fueled by the financial industry's ongoing digital transformation, the proliferation of data-driven decision-making, and the rising emphasis on regulatory compliance and risk management.

One of the primary growth factors for the Data Collaboration Platforms for Financial Services market is the sector’s urgent need for enhanced data security and privacy. Financial institutions handle vast volumes of sensitive customer and transactional data, making them prime targets for cyber threats and data breaches. Data collaboration platforms provide advanced encryption, access controls, and secure sharing mechanisms, allowing organizations to collaborate both internally and externally without compromising data integrity or regulatory compliance. As financial regulations such as GDPR, CCPA, and PSD2 continue to evolve, institutions are compelled to adopt solutions that facilitate secure collaboration while ensuring auditability and traceability of data usage.

Another significant driver is the increasing reliance on data-driven insights for competitive differentiation. Financial services firms are leveraging collaborative platforms to break down data silos, enabling more effective use of analytics, artificial intelligence, and machine learning. These platforms empower cross-functional teams to work together on projects such as customer segmentation, fraud detection, and personalized product offerings. By democratizing access to high-quality, real-time data, organizations can respond more swiftly to market changes, optimize operational efficiency, and deliver superior customer experiences. The ability to monetize data through partnerships and new business models is also emerging as a key motivator for platform adoption.

The ongoing wave of digital transformation across the financial sector is further propelling the market. As cloud computing, open banking, and API-driven ecosystems gain traction, financial institutions are increasingly seeking agile and scalable collaboration solutions. Data collaboration platforms not only streamline internal workflows but also facilitate secure data exchange with external partners, such as FinTechs, regulators, and third-party vendors. This capability is vital for fostering innovation, accelerating product development, and maintaining compliance with open banking mandates. The convergence of these trends is expected to sustain high demand for data collaboration solutions throughout the forecast period.

Regionally, North America holds the largest share of the Data Collaboration Platforms for Financial Services market, accounting for over 38% of global revenues in 2024. This dominance is attributed to the region’s advanced technological infrastructure, high adoption of cloud-based solutions, and stringent regulatory landscape. Europe follows closely, driven by strong regulatory frameworks and a mature financial services sector. The Asia Pacific region is poised for the fastest growth, with a projected CAGR of 15.7% through 2033, fueled by rapid digitalization, expanding financial inclusion, and increasing investments in FinTech. Latin America and the Middle East & Africa are also witnessing steady adoption, supported by modernization initiatives and regulatory reforms.

Component Analysis

The Data Collaboration Platforms for Financial Services market is segmented by component into Software and Services. Software solutions represent the backbone of the market, encompassing platforms that enable secure data sharing, analyti

Can your desktop computer crunch the large datasets that are becoming increasingly common in hydrology and across the sciences? Do you have access to, or the know how to, take advantage of advanced high performance computing (HPC) capability? Web based cyberinfrastructure takes work off your desk or laptop computer and onto infrastructure or "cloud" based data and processing servers. This talk will describe the HydroShare collaborative environment and web based services being developed to support the sharing and processing of hydrologic data and models. HydroShare is expanding the data sharing capability of the CUAHSI Hydrologic Information System by broadening the classes of data accommodated to include geospatial data used in hydrology. HydroShare will also include new capability to share models and model components, and will take advantage of emerging social media functionality to enhance information about and collaboration around hydrologic data and models. The HydroShare web interface and social media functions are being developed using the Django web application framework. The integrated Rule-Oriented Data System (iRODS) is being used to manage federated data content. This presentation will introduce the HydroShare functionality developed to date and describe ongoing development of functionality to support collaboration and integration of data and models.

Cross-OEM Mobility Data Collaboration Market Outlook

As per our latest research, the global Cross-OEM Mobility Data Collaboration market size reached USD 4.7 billion in 2024, with a robust growth trajectory supported by the increasing integration of connected vehicles and data-driven mobility services. The market is projected to expand at a CAGR of 18.2% from 2025 to 2033, resulting in a forecasted market size of USD 22.1 billion by 2033. This impressive growth is primarily driven by the surging demand for seamless data sharing among automotive OEMs, the proliferation of smart mobility solutions, and the rising emphasis on collaborative ecosystems across the global automotive and mobility sector.

A key growth factor for the Cross-OEM Mobility Data Collaboration market is the exponential increase in the volume and diversity of data generated by connected vehicles. As vehicles become increasingly equipped with advanced telematics, IoT sensors, and infotainment systems, they generate a wealth of valuable data encompassing vehicle health, driving behavior, location, and traffic patterns. The ability to aggregate, analyze, and share this data securely across multiple OEMs unlocks significant value for stakeholders, enabling the development of innovative services such as predictive maintenance, real-time traffic management, and enhanced user personalization. This data-driven approach not only optimizes operational efficiency but also fosters the creation of new revenue streams for OEMs and mobility service providers.

Another significant driver is the evolving regulatory landscape and the growing emphasis on data standardization and interoperability. Governments and regulatory bodies across regions are increasingly advocating for open data frameworks and cross-industry collaboration to enhance road safety, reduce congestion, and promote sustainable urban mobility. These regulatory initiatives are compelling automotive OEMs and mobility service providers to invest in platforms and services that facilitate secure and compliant data exchange. The emergence of industry alliances and consortia focused on data sharing standards is further accelerating the adoption of cross-OEM mobility data collaboration solutions, making it a strategic imperative for organizations aiming to stay competitive in the digital mobility ecosystem.

The rapid expansion of smart mobility ecosystems, including ride-sharing, car-sharing, and multimodal transportation networks, is also fueling the market growth. Mobility service providers are increasingly leveraging cross-OEM data collaboration to enhance service quality, optimize fleet utilization, and deliver seamless user experiences. For instance, access to real-time vehicle and traffic data enables dynamic route optimization, predictive demand forecasting, and personalized mobility offerings. This collaborative approach not only benefits end-users through improved convenience and safety but also empowers cities and public sector agencies to implement data-driven urban mobility policies and infrastructure planning.

From a regional perspective, North America and Europe are at the forefront of the Cross-OEM Mobility Data Collaboration market, owing to their advanced automotive industries, high penetration of connected vehicles, and supportive regulatory environments. North America, in particular, is witnessing significant investments from leading OEMs and technology providers in developing robust data platforms and services. Europe is characterized by strong government initiatives aimed at promoting smart mobility and data interoperability, further driving market adoption. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by rapid urbanization, increasing vehicle connectivity, and the rising adoption of shared mobility services in countries such as China, Japan, and South Korea. Latin America and the Middle East & Africa are gradually catching up, driven by growing investments in smart city projects and digital infrastructure.

Component Analysis

The Cross-OEM Mobility Data Collaboration market is segmented by component into Platform and Services. The platform segment encompasses the core technological infrastructure that enables secure, scalable, and interoperable data exchange among multiple OEMs and stakeholders. This segment is witnessing rapid growth as automotive manufacturers and mobility service providers increasingly recognize the need for centraliz

Data Collaboration for AML Market Outlook

According to our latest research, the Global Data Collaboration for AML market size was valued at $2.6 billion in 2024 and is projected to reach $8.1 billion by 2033, expanding at a robust CAGR of 13.2% during the forecast period of 2025–2033. The primary driver behind this impressive growth trajectory is the increasing sophistication of financial crimes, which has necessitated the adoption of advanced anti-money laundering (AML) solutions that leverage data collaboration across institutions, geographies, and regulatory environments. The proliferation of digital transactions, combined with evolving regulatory mandates, has compelled financial institutions and related entities to invest heavily in collaborative AML platforms, ensuring comprehensive risk detection and compliance management.

Regional Outlook

North America currently holds the largest share of the global Data Collaboration for AML market, accounting for approximately 38% of the total market value in 2024. This dominance is attributed to the mature financial ecosystem, stringent regulatory frameworks such as the Bank Secrecy Act and the USA PATRIOT Act, and a high degree of technological adoption among banks and financial institutions. The region’s well-established infrastructure for digital payments and cross-border transactions further amplifies the demand for sophisticated AML solutions that enable secure, real-time data sharing and collaborative threat detection. Leading vendors and innovative fintech startups are concentrated in the United States and Canada, accelerating the integration of artificial intelligence, machine learning, and blockchain technologies in AML workflows, which in turn boosts market growth.

The Asia Pacific region is expected to register the fastest CAGR, projected at 16.7% during 2025–2033, fueled by rapid digitalization, the surge in online financial services, and increasing regulatory scrutiny across emerging economies. Countries such as China, India, Singapore, and Australia are at the forefront of adopting cloud-based AML collaboration tools, driven by rising incidents of financial fraud and government initiatives to strengthen anti-money laundering frameworks. The influx of foreign investments, expansion of fintech ecosystems, and supportive policy reforms are catalyzing the deployment of advanced AML technologies. Additionally, regional collaborations among financial institutions and regulatory bodies are fostering a culture of shared intelligence, further propelling market expansion in this geography.

In emerging economies across Latin America and the Middle East & Africa, the adoption of Data Collaboration for AML solutions remains at a nascent stage, primarily due to infrastructural constraints, fragmented regulatory environments, and limited awareness among smaller financial entities. However, there is growing interest in leveraging collaborative platforms to combat rising financial crime rates, especially as governments introduce new compliance mandates and cross-border trade increases. Localized demand is beginning to pick up, particularly in urban financial hubs, but challenges such as data privacy concerns, lack of skilled workforce, and inconsistent enforcement of AML standards continue to hinder widespread adoption. Nevertheless, international partnerships and capacity-building initiatives are expected to gradually bridge these gaps, unlocking new growth avenues in the long term.

Report Scope

Abstract This paper analyzes how the extension of the self in the practice of collaborative consumption in the system of sharing of bicycles of Pernambuco takes place. It has a qualitative approach, collecting the data through participant observation on Bike PE platforms and individual unstructured interviews with 24 project users. Social-hermeneutical discourse analysis was used to analyze the data. The possibility of cycling provided by Bike PE represents the opportunity to reaffirm and build certain identity elements, especially those related to the social and collective aspects that stimulate joint and/or interactive actions. Thus, two elements constitute the development and extension of identity in the collaborative practice of Bike PE users: the relational self and the influencing and idealistic self. Many users were shown to already possess a bicycle, indicating that the consumer is willing to experiment new business models without abandoning previous consumer practices such as the acquisition of a good. With a multifaceted identity, individuals want to increase their possibilities of extension and construction of self through access and possession, and the use of the referred product is a central element in the construction and extension of identity, regardless of whether the object used being their own or not.

Anonymized in-depth interview transcripts underlying the book chapter, "Sharing Authority in Collaborative Digital Humanities Pedagogy: Library Workers’ Perspectives," which will appear in Debates in Digital Humanities Pedagogy, edited by Brian Croxall and Diane Jakacki, forthcoming from the University of Minnesota Press.

HydroShare is an online, collaboration system for sharing of hydrologic data, analytical tools, and models. It supports the sharing of and collaboration around “resources” which are defined by standardized content types for data formats and models commonly used in hydrology. With HydroShare you can: Share your data and models with colleagues; Manage who has access to the content that you share; Share, access, visualize and manipulate a broad set of hydrologic data types and models; Use the web services application programming interface (API) to program automated and client access; Publish data and models and obtain a citable digital object identifier (DOI); Aggregate your resources into collections; Discover and access data and models published by others; Use web apps to visualize, analyze and run models on data in HydroShare. This presentation will describe the functionality and architecture of HydroShare highlighting its use as a virtual environment supporting education and research. HydroShare has components that support: (1) resource storage, (2) resource exploration, and (3) web apps for actions on resources. The HydroShare data discovery, sharing and publishing functions as well as HydroShare web apps provide the capability to analyze data and execute models completely in the cloud (servers remote from the user) overcoming desktop platform limitations. The HydroShare GIS app provides a basic capability to visualize spatial data. The HydroShare JupyterHub Notebook app provides flexible and documentable execution of Python code snippets for analysis and modeling in a way that results can be shared among HydroShare users and groups to support research collaboration and education. We will discuss how these developments can be used to support different types of educational efforts in Hydrology where being completely web based is of value in an educational setting as students can all have access to the same functionality regardless of their computer.

Plain Language Summary

HydroShare is a web based hydrologic information system designed to enhance collaboration within the hydrology community through data sharing. Advancing hydrologic understanding requires combining information from multiple sources which requires collaboration and working as a team or community. HydroShare is a computer system that supports this by enabling users to share units of content referred to as “resources” that hold either data or hydrologic computer models in standardized formats. This presentation will describe the HydroShare data discovery, sharing and publishing capability as well how web apps (computer programs accessed through a web browser) can be used with HydroShare to analyze data and run models completely in servers remote from the user overcoming local desktop computer limitations.

Tarboton, D. G., R. Idaszak, J. S. Horsburgh, D. P. Ames, J. L. Goodall, A. Couch, R. P. Hooper, P. K. Dash, M. Stealey, H. Yi, T. Gan, C. Bandaragoda, A. M. Castronova and The HydroShare Development Team, (2017), "HydroShare: A Platform for Collaborative Data and Model Sharing in Hydrology," Abstract ED23D-0330 presented at 2017 Fall Meeting, AGU, New Orleans, Mississippi., 11-15 Dec, https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/298917.