These datasets contain C-V2X network communication and interoperability testing packet data collected using a network sniffer (Wireshark) in the Packet Capture (PCAP) format and converted into the Packet Description Markup Language (PDML) format. These datasets include three testcases: C-V2I, C-V2V, and C-V2X. These datasets can be used to display, analyze, and assess C-V2X compatibility and interoperability among commercial on-board units (OBUs) and road-side units (RSUs) based on IEEE 1609.2, IEEE 1609.3, and SAE J2735 standards.

ACF Agency Wide resource Metadata-only record linking to the original dataset. Open original dataset below.

As of 2022 in the United States, 56 percent of healthcare stakeholders surveyed said one of their top five goals driving their efforts to improve interoperability was to improve patient outcomes. Furthermore, optimizing clinical workflows was a top five goal for 54 percent of respondents.

The Healthcare Interoperability Solutions Market Report is Segmented by Component (Software, Services, Platforms/Middleware), Interoperability Level (Foundational, Structural, Semantic, Organizational), Deployment Mode (On-Premise, and More), End User (Hospitals & Health Systems, Ambulatory & Specialty Clinics, and More), and Geography (North America, Europe, and More). The Market Forecasts are Provided in Terms of Value (USD).

A nursing terminologies resource for systems development. Describes the role of SNOMED CT and Laboratory Observation Identifiers Names and Codes (LOINC) in implementing Meaningful Use in the U.S., specifically for the nursing and care domain.

As of 2019 in the United States, 20 percent of hospitals and acute care facilities rated their interoperability efforts as good, with a further 54 percent saying the efforts were good. However clinicians were more likely to rate the efforts towards interoperability as poor compared to those working in IT departments.

In February 2019 the Networking and Information Technology Research and Development (NITRD) Program's Health Information Technology Research and Development Interagency Working Group (HITRD IWG) issued a Request for Information (RFI) to collect input from industry, academia, and nongovernmental organizations on new approaches to solve the interoperability issues between medical devices, data, and platforms. On July 17, 2019, the group followed up with an in-person Listening Session that included 76 representatives from the device, standards, academic, and medical communities, and government. This report is a summary of the February 2019 Request for Information and July 2019 Listening Session.

This software is a cellular vehicle-to-everything (C-V2X) interoperability analyzer tool developed at the National Institute of Standards and Technology (NIST) Internet of Thing (IoT) Devices Interoperability Testbed. It can be used to automatically analyze and assess C-V2X protocol compatibility and interoperability among commercial on-board units (OBUs) and road-side units (RSUs) based on the IEEE 1609.2, IEEE 1609.3, and SAE J2735 standards to achieve and assure their interoperability.

Healthcare Interoperability Market Outlook

According to our latest research, the global healthcare interoperability market size reached USD 4.05 billion in 2024, reflecting a robust expansion driven by the increasing need for seamless data exchange in healthcare. The market is poised to grow at a CAGR of 13.7% from 2025 to 2033, with the total market value forecasted to reach approximately USD 12.16 billion by 2033. This growth is propelled by the rising adoption of electronic health records (EHRs), regulatory mandates, and the growing demand for advanced healthcare IT solutions that facilitate secure and efficient data sharing across disparate healthcare systems.

One of the key growth factors for the healthcare interoperability market is the global shift towards value-based care and the increasing implementation of EHRs and other digital health platforms. Governments and regulatory bodies worldwide are enforcing strict standards for interoperability to improve care coordination and patient outcomes. The push for standardized data exchange protocols, such as HL7 and FHIR, has compelled healthcare organizations to invest significantly in interoperability solutions. This has not only improved the accuracy and timeliness of patient data but also reduced administrative burdens and operational costs, thereby fueling market expansion.

Another significant driver is the surging demand for integrated healthcare services, especially in the wake of the COVID-19 pandemic. The pandemic highlighted the critical need for real-time data sharing among healthcare providers, laboratories, and public health agencies. As a result, there has been a marked increase in investments in healthcare IT infrastructure, particularly interoperability solutions that enable the aggregation and analysis of patient data from multiple sources. This trend is expected to persist as healthcare organizations continue to prioritize digital transformation and patient-centric care models, further strengthening the healthcare interoperability market.

Technological advancements, such as artificial intelligence and machine learning, are also playing a pivotal role in the development of next-generation interoperability platforms. These technologies enable advanced data analytics, predictive modeling, and automated workflows, enhancing the overall efficiency and effectiveness of healthcare delivery. Additionally, the proliferation of wearable devices and remote monitoring tools has increased the volume and complexity of health data, necessitating robust interoperability frameworks. As healthcare ecosystems become more interconnected and data-driven, the demand for scalable and secure interoperability solutions is anticipated to surge.

From a regional perspective, North America continues to dominate the healthcare interoperability market, accounting for the largest share in 2024, followed by Europe and the Asia Pacific. The presence of a well-established healthcare IT infrastructure, favorable government initiatives, and the high adoption of EHRs have cemented North America's leadership position. Europe is witnessing steady growth due to increasing investments in digital health and cross-border health data exchange initiatives. Meanwhile, the Asia Pacific region is experiencing the fastest growth, driven by rapid healthcare digitization, expanding healthcare access, and government-led reforms aimed at improving healthcare quality and efficiency.

Component Analysis

The component segment of the healthcare interoperability market is categorized into software, services, and hardware. Software remains the largest contributor, accounting for a substantial portion of the market revenue in 2024. This dominance is attributed to the widespread implementation of interoperability platforms, middleware, and application programming interfaces (APIs) that facilitate seamless data exchange across healthcare systems. As healthcare organizations increasingly transition to digital platforms, the demand for robust, scalable, a

Interoperability in systems-of-systems is a difficult problem due to the abundance of data standards and formats. Current approaches to interoperability rely on hand-made adapters or methods using ontological metadata. This dataset was created to facilitate research on data-driven interoperability solutions. The data comes from a simulation of a building heating system, and the messages sent within control systems-of-systems. For more information see attached data documentation.

The data comes in two semicolon-separated (;) csv files, training.csv and test.csv. The train/test split is not random; training data comes from the first 80% of simulated timesteps, and the test data is the last 20%. There is no specific validation dataset, the validation data should instead be randomly selected from the training data. The simulation runs for as many time steps as there are outside temperature values available. The original SMHI data only samples once every hour, which we linearly interpolate to get one temperature sample every ten seconds. The data saved at each time step consists of 34 JSON messages (four per room and two temperature readings from the outside), 9 temperature values (one per room and outside), 8 setpoint values, and 8 actuator outputs. The data associated with each of those 34 JSON-messages is stored as a single row in the tables. This means that much data is duplicated, a choice made to make it easier to use the data.

The simulation data is not meant to be opened and analyzed in spreadsheet software, it is meant for training machine learning models. It is recommended to open the data with the pandas library for Python, available at https://pypi.org/project/pandas/.

The data file with temperatures (smhi-july-23-29-2018.csv) acts as input for the thermodynamic building simulation found on Github, where it is used to get the outside temperature and corresponding timestamps. Temperature data for Luleå Summer 2018 were downloaded from SMHI.

The size of the Healthcare Interoperability Solutions Market market was valued at USD 3.87 billion in 2023 and is projected to reach USD 9.77 billion by 2032, with an expected CAGR of 14.15 % during the forecast period. Recent developments include: In August 2023, KMS Healthcare, a major provider of healthcare technology products and services, introduced a Healthcare Technology (HIT) interoperability solution, CONNECT, developed to streamline how healthcare institutions exchange and integrate data , In July 2023, the World Health Organization (WHO) collaborated with HL7 to jointly design guidelines and promote the adoption of open interoperability standards critical to developing unbiased and evidence-based digital health , In February 2023, Google Cloud and Redox entered into a partnership to simplify healthcare data exchange so organizations can make better and faster decisions .

Confidence in effective and efficient interoperability of connected technology seems to be high in the majority of users of connected devices with about ** percent of respondents reporting that they were confident or somewhat confident.

Interoperability within the agricultural implements industry is part of interconnected public policy issues that have arisen because of new market dynamics created by digital technologies. Western Canadian implement manufacturers have identified a major business challenge from the accelerated lock down of software on combines and tractors, which make implement brands incompatible, or inoperable, with original equipment manufacturers' systems. This report looks at the economic significance of agricultural manufacturing in western Canada with additional insight from industry on the effects of a single change to interoperability on agriculture machinery.

The market was valued at USD 6,000 million in 2025 and is expected to reach USD 24,800 million by 2035, reflecting a compound annual growth rate (CAGR) of 14.5% over the forecast period.

Metric	Value
Market Size (2025E)	USD 6,000 million
Market Value (2035F)	USD 24,800 million
CAGR (2025 to 2035)	14.5%

Country-wise Outlook

Country	CAGR (2025 to 2035)
United States	14.5%

Country	CAGR (2025 to 2035)
United Kingdom	13.6%

Country	CAGR (2025 to 2035)
European Union	14.2%

Country	CAGR (2025 to 2035)
Japan	13.8%

Country	CAGR (2025 to 2035)
South Korea	14.6%

Competitive Outlook

Company Name	Estimated Market Share (%)
Cerner Corporation	20-24%
Epic Systems Corporation	15-19%
Infor, Inc.	12-16%
Allscripts Healthcare	10-14%
Other Companies (Combined)	30-40%

The healthcare interoperability solutions market size is valued at USD 4.8 billion in 2025 and is projected to reach USD 16.2 billion by the end of 2035, rising at a CAGR of 14.5% during the forecast period, i.e., 2026-2035. North America industry is predicted to account for the largest share of 41% by 2035, driven by increasing adoption of electronic health records and rising demand for seamless healthcare data integration in the region.

The global market for Healthcare IT Systems Interoperability is experiencing robust growth, driven by increasing demand for seamless data exchange between healthcare providers, payers, and patients. The rising adoption of electronic health records (EHRs), coupled with government initiatives promoting interoperability and the need for improved patient care coordination, are significant catalysts. A projected Compound Annual Growth Rate (CAGR) of, let's assume, 15% from 2025 to 2033 indicates a substantial expansion. This growth is further fueled by technological advancements such as cloud computing, artificial intelligence, and blockchain, which enhance data security, accessibility, and analytics capabilities. The market is segmented by various deployment models (cloud, on-premise), by types of solutions (EHR interoperability, HL7, FHIR), and by end-users (hospitals, clinics, pharmacies). Major players like Infor, Oracle, Cerner, and IBM are actively competing, driving innovation and expanding market penetration. However, challenges remain, including the complexities of data standardization, cybersecurity concerns, and the high costs associated with implementation and maintenance of interoperability solutions. Addressing these hurdles is crucial for realizing the full potential of interoperability and transforming healthcare delivery. Despite challenges, the long-term outlook remains positive. Continued investment in healthcare IT infrastructure, rising patient expectations for personalized care, and a growing emphasis on population health management will create substantial opportunities for growth. The market will likely witness increased mergers and acquisitions, strategic partnerships, and the emergence of new technologies and solutions that streamline data sharing and improve operational efficiency. The focus will shift towards interoperable solutions that facilitate advanced analytics, predictive modeling, and precision medicine initiatives. This will lead to improved healthcare outcomes, reduced costs, and a more efficient and patient-centric healthcare ecosystem. A detailed regional breakdown, while absent from the provided information, would reveal variations in growth based on factors such as government regulations, technological adoption rates, and healthcare infrastructure maturity.

The Healthcare Interoperability Solutions Market is expected to witness a growth rate of ~13% by 2029. The key factors driving the market are the increasing patient demand for data access, the growing adoption of electronic health records (EHRs), technological advancement in healthcare IT, the shift towards value-based care models, government initiatives and regulations to enhance […]

henriquefr/interoperability dataset hosted on Hugging Face and contributed by the HF Datasets community

The goal of the OneNet System is to facilitate data exchanges among existing platforms, services, applications, and devices by the power of interoperability techniques. To ensure that system requirements are technically -implementable and widely adopted, internationally standardized file formats, metadata, vocabularies and identifiers - are required. The OneNet “Cross-Platform Access” pattern is the fundamental characteristic of an interoperable ecosystem, leading to the definition of the exposed list OneNet Cross-Platform services (CPS). The pattern entails that an application accesses services or resources (information or functions) from multiple platforms through the same interface. For example, a “grid monitoring” application gathers information on different grid indicators provided by different platforms that conduct measurements or state estimations. The challenge of realizing this pattern lies in allowing applications or services within one platform to interact with other platforms (eventually from different providers) with relevant services or applications via the same interface and data formats. Thereby, reuse and composition of services as well as easy integration of data from different platforms are enabled. Based on the defined concept for CPS, an extensive analysis has been performed regarding data exchange patterns and roles involved for system use cases (SUCs) from other H2020 projects and the OneNet demo clusters. This has resulted into a first list of CPS, that has been thereafter taxonomized into 10 categories. The different entries have been defined providing a set of classes such as service description, indicative data producer/consumer etc. Each CPS can be assigned with multiple business objects describing the context of it. For a specific set of widely used by the Demo CPS, there have been formal semantic definitions provided in the "CrossPlatformServices-Semantic" excel worksheet.

Education Data Interoperability Market Outlook

According to our latest research, the global education data interoperability market size stands at USD 1.97 billion in 2024, demonstrating robust momentum with a CAGR of 13.2% projected through the forecast period. This growth trajectory is expected to elevate the market to a substantial USD 5.25 billion by 2033. The primary growth factor fueling this surge is the increasing demand for seamless integration and real-time data exchange among educational platforms, which is essential for enhancing learning outcomes and operational efficiencies across the education sector. As per our most recent analysis, the market’s expansion is further driven by digital transformation initiatives and the proliferation of EdTech solutions globally.

The rapid digitalization of educational institutions is a significant catalyst for the education data interoperability market. Schools, colleges, and universities are increasingly adopting a wide range of digital tools to manage student information, learning management systems (LMS), and administrative processes. However, these systems often operate in silos, leading to data fragmentation and inefficiencies. The need for interoperability solutions that can seamlessly connect disparate systems to enable the free flow of data has become paramount. This is particularly crucial for supporting personalized learning experiences, tracking student progress, and making data-driven decisions. The integration of advanced technologies such as artificial intelligence and machine learning into educational platforms further amplifies the demand for robust interoperability frameworks, ensuring that data can be shared securely and efficiently across various platforms.

Another major growth driver is the evolving regulatory landscape and the increasing emphasis on data privacy and security in education. Governments and educational authorities worldwide are introducing stringent regulations to protect student data and ensure compliance with global standards such as GDPR and FERPA. These regulations necessitate the adoption of interoperable systems that can securely exchange data while maintaining compliance. Furthermore, the rise of remote and hybrid learning models, accelerated by the COVID-19 pandemic, has underscored the importance of real-time data sharing across multiple platforms, including virtual classrooms, assessment tools, and content management systems. As educational institutions continue to navigate these changes, the demand for comprehensive interoperability solutions is expected to grow significantly.

The surge in investments from both public and private sectors in EdTech infrastructure is also propelling the education data interoperability market forward. Governments are allocating substantial budgets to modernize educational systems and bridge the digital divide, particularly in developing regions. Simultaneously, venture capital funding in EdTech startups is at an all-time high, fostering innovation and the development of new interoperability standards and solutions. Industry collaborations and partnerships among technology providers, educational institutions, and regulatory bodies are further accelerating the adoption of interoperable platforms. These collaborative efforts are crucial for establishing common data standards, ensuring compatibility across diverse systems, and driving the market’s sustained growth over the forecast period.

From a regional perspective, North America currently dominates the education data interoperability market, accounting for the largest share in 2024. This leadership is attributed to the region’s advanced technological infrastructure, high adoption rate of digital learning tools, and proactive regulatory frameworks. Europe follows closely, driven by strong government initiatives and a well-established EdTech ecosystem. Meanwhile, the Asia Pacific region is poised for the fastest growth, fueled by rapid digital transformation in education, increasing government investments, and a burgeoning population of tech-savvy learners. Latin America and the Middle East & Africa are also witnessing steady growth, supported by ongoing efforts to enhance educational access and quality through digital solutions. The global outlook remains highly positive, with all regions contributing to the market’s dynamic expansion.

Component Analysis

The education data interoperability market by component is segmented into software and se