Thanks to a variety of software services, it has never been easier to produce, manage and publish Linked Open Data. But until now, there has been a lack of an accessible overview to help researchers make the right choice for their use case. This dataset release will be regularly updated to reflect the latest data published in a comparison table developed in Google Sheets [1]. The comparison table includes the most commonly used LOD management software tools from NFDI4Culture to illustrate what functionalities and features a service should offer for the long-term management of FAIR research data, including:

• ConedaKOR
• LinkedDataHub
• Metaphacts
• Omeka S
• ResearchSpace
• Vitro
• Wikibase
• WissKI

The table presents two views based on a comparison system of categories developed iteratively during workshops with expert users and developers from the respective tool communities. First, a short overview with field values coming from controlled vocabularies and multiple-choice options; and a second sheet allowing for more descriptive free text additions. The table and corresponding dataset releases for each view mode are designed to provide a well-founded basis for evaluation when deciding on a LOD management service. The Google Sheet table will remain open to collaboration and community contribution, as well as updates with new data and potentially new tools, whereas the datasets released here are meant to provide stable reference points with version control.

The research for the comparison table was first presented as a paper at DHd2023, Open Humanities – Open Culture, 13-17.03.2023, Trier and Luxembourg [2].

[1] Non-editing access is available here: docs.google.com/spreadsheets/d/1FNU8857JwUNFXmXAW16lgpjLq5TkgBUuafqZF-yo8_I/edit?usp=share_link To get editing access contact the authors.

[2] Full paper will be made available open access in the conference proceedings.

Discover the explosive growth of the open-source big data tools market, projected at a 18% CAGR to reach $55.7 billion by 2033. This in-depth analysis explores key drivers, trends, restraints, and regional market shares, highlighting leading companies and applications. Learn how open-source solutions are revolutionizing data management and analysis.

Discover the booming open-source big data tools market! This comprehensive analysis reveals key trends, growth drivers, and regional insights for 2025-2033, featuring leading companies like MongoDB and Apache. Learn about market segmentation, application areas, and future projections.

The open-source big data tools market is experiencing robust growth, driven by the increasing need for scalable, cost-effective, and flexible data management and analysis solutions across diverse sectors. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033. This significant expansion is fueled by several key factors. Firstly, the rising volume and velocity of data generated across industries necessitates sophisticated tools capable of handling massive datasets efficiently. Secondly, the cost-effectiveness of open-source solutions compared to proprietary alternatives is a major attraction for businesses of all sizes, particularly startups and SMEs. Thirdly, the active and collaborative open-source community ensures continuous innovation and improvement in these tools, making them highly adaptable to evolving technological landscapes. The increasing adoption of cloud computing further contributes to market growth, as open-source tools seamlessly integrate with cloud platforms. Growth is segmented across various tools, with data analysis tools experiencing the highest demand due to the growing focus on data-driven decision-making. Key application areas include banking, manufacturing, and government, reflecting the wide applicability of these tools across sectors. While geographical distribution is diverse, North America and Europe currently hold significant market share, though rapid growth is anticipated in the Asia-Pacific region driven by increasing digitalization and adoption of advanced analytics. However, the market faces challenges including the complexity of implementation and maintenance of some open-source tools, requiring specialized expertise, and the need for robust security measures to protect sensitive data. Despite these hurdles, the inherent advantages of cost-effectiveness, flexibility, and community support position the open-source big data tools market for sustained and considerable expansion in the coming years.

The size of the Open Source Container Management Software market was valued at USD XXX million in 2023 and is projected to reach USD XXX million by 2032, with an expected CAGR of XX% during the forecast period.

We present the data collected as part of the Open-source Complex Ecosystem And Networks (OCEAN) partnership between Google Open Source and the University of Vermont. This includes mailing list emails with standardized format spanning the past three decades from fourteen mailing lists across four different open source communities: Python, Angular, Node.js, and the Go language.This data is presented in the following publication: Warrick, M., Rosenblatt, S. F., Young, J. G., Casari, A., Hébert-Dufresne, L., & Bagrow, J. P. (2022). The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories. In 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR). IEEE.

Ethical Data Management

The Open Source Service Market Report is Segmented by Service Type (Consulting and Implementation, Support, Maintenance, and Management, and More), Deployment Mode (On-Premise and Cloud), Application (Infrastructure Management, Application Development and Integration, and More), End-User Industry (Banking, Financial Services and Insurance (BFSI), and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

These resources mainly focuses on the project I worked on during the summer of 2025, which involved developing an open-source headless CMS extension for structured data management.

Global Data Management Solutions for Analytics market size 2025 was XX Million. Data Management Solutions for Analytics Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

The open-source project management software market is experiencing robust growth, driven by increasing demand for flexible, customizable, and cost-effective solutions across diverse industries. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the rising adoption of agile methodologies and DevOps practices necessitates tools that facilitate collaboration and transparency, aligning perfectly with the collaborative nature of open-source platforms. Secondly, concerns regarding vendor lock-in and data privacy are driving organizations, particularly SMEs, towards open-source alternatives that offer greater control and flexibility. Finally, the extensive community support and continuous development inherent in open-source projects ensure ongoing innovation and improvement, attracting a wide range of users. The SaaS-based segment currently dominates the market due to its ease of deployment and accessibility, while large enterprises are increasingly adopting open-source solutions to manage complex projects and integrate them seamlessly with their existing infrastructure. Geographic distribution shows strong growth across North America and Europe, driven by high technological adoption rates and established IT infrastructure. However, emerging markets in Asia-Pacific and the Middle East & Africa are also witnessing significant growth, fueled by increasing digitalization and a rising number of tech-savvy businesses. This growth is further enhanced by the continual development and refinement of existing platforms and the emergence of innovative features focusing on areas such as AI-powered project planning and predictive analytics. The competitive landscape is characterized by a mix of established players and emerging contenders, with various solutions catering to specific niche requirements. While some platforms like Mattermost and GitHub cater to a broader user base, others such as ProjeQtOr or GanttProject focus on specialized functionality. This fragmentation presents opportunities for new entrants to innovate and fill market gaps with highly specialized open-source project management solutions. The long-term outlook remains positive, as organizations continue to embrace open-source solutions as a reliable and adaptable method of managing their projects, potentially leading to even higher market penetration in the coming years. The increasing complexity of projects and the rising need for greater collaboration will only serve to further enhance the adoption of these software tools.

The size of the Open Source Project Management Software market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.

Discover the booming open-source big data tools market! This comprehensive analysis reveals key trends, drivers, and restraints shaping this $15 billion (2025 est.) sector. Explore market segmentation, leading companies, and regional growth projections through 2033. Learn how open-source solutions are transforming data management and analysis across various industries.

Background Better automation, lower cost per reaction and a heightened interest in comparative genomics has led to a dramatic increase in DNA sequencing activities. Although the large sequencing projects of specialized centers are supported by in-house bioinformatics groups, many smaller laboratories face difficulties managing the appropriate processing and storage of their sequencing output. The challenges include documentation of clones, templates and sequencing reactions, and the storage, annotation and analysis of the large number of generated sequences.

   Results
   We describe here a new program, named FOUNTAIN, for the management of large sequencing projects . FOUNTAIN uses the JAVA computer language and data storage in a relational database. Starting with a collection of sequencing objects (clones), the program generates and stores information related to the different stages of the sequencing project using a web browser interface for user input. The generated sequences are subsequently imported and annotated based on BLAST searches against the public databases. In addition, simple algorithms to cluster sequences and determine putative polymorphic positions are implemented.


   Conclusions
   A simple, but flexible and scalable software package is presented to facilitate data generation and storage for large sequencing projects. Open source and largely platform and database independent, we wish FOUNTAIN to be improved and extended in a community effort.

The global Data Base Management Systems market was valued at USD 50.5 billion in 2022 and is projected to reach USD 120.6 Billion by 2030, registering a CAGR of 11.5 % for the forecast period 2023-2030. Factors Affecting Data Base Management Systems Market Growth

Growing inclination of organizations towards adoption of advanced technologies like cloud-based technology favours the growth of global DBMS market

The cloud-based data base management system solutions offer the organizations with an ability to scale their database infrastructure up or down as per requirement. In a crucial business environment data volume can vary over time. Here, the cloud allows organizations to allocate resources in a dynamic and systematic manner, thereby, ensuring optimal performance without underutilization. In addition, these cloud-based solutions are cost-efficient. As, these cloud-based DBMS solutions eliminate the need for companies to maintain and invest in physical infrastructure and hardware. It helps in reducing ongoing operational costs and upfront capital expenditures. Organizations can choose pay-as-you-go pricing models, where they need to pay only for the resources they consume. Therefore, it has been a cost-efficient option for both smaller businesses and large-enterprises. Moreover, the cloud-based data base management system platforms usually come with management tools which streamline administrative tasks such as backup, provisioning, recovery, and monitoring. It allows IT teams to concentrate on more of strategic tasks rather than routine maintenance activities, thereby, enhancing operational efficiency. Whereas, these cloud-based data base management systems allow users to remote access and collaboration among teams, irrespective of their physical locations. Thus, in regards with today's work environment, which focuses on distributed and remote workforces. These cloud-based DBMS solution enables to access data and update in real-time through authorized personnel, allowing collaboration and better decision-making. Thus, owing to all the above factors, the rising adoption of advanced technologies like cloud-based DBMS is favouring the market growth.

Availability of open-source solutions is likely to restrain the global data base management systems market growth

Open-source data base management system solutions such as PostgreSQL, MongoDB, and MySQL, offer strong functionality at minimal or no licensing costs. It makes open-source solutions an attractive option for companies, especially start-ups or smaller businesses with limited budgets. As these open-source solutions offer similar capabilities to various commercial DBMS offerings, various organizations may opt for this solutions in order to save costs. The open-source solutions may benefit from active developer communities which contribute to their development, enhancement, and maintenance. This type of collaborative environment supports continuous innovation and improvement, which results into solutions that are slightly competitive with commercial offerings in terms of performance and features. Thus, the open-source solutions create competition for commercial DBMS market, they thrive in the market by offering unique value propositions, addressing needs of organizations which prioritize professional support, seamless integration into complex IT ecosystems, and advanced features. Introduction of Data Base Management Systems

A Database Management System (DBMS) is a software which is specifically designed to organize and manage data in a structured manner. This system allows users to create, modify, and query a database, and also manage the security and access controls for that particular database. The DBMS offers tools for creating and modifying data models, that define the structure and relationships of data in a database. This system is also responsible for storing and retrieving data from the database, and also provide several methods for searching and querying the data. The data base management system also offers mechanisms to control concurrent access to the database, in order to ensure that number of users may access the data. The DBMS provides tools to enforce security constraints and data integrity, such as the constraints on the value of data and access controls that restricts who can access the data. The data base management system also provides mechanisms for recovering and backing up the data when a system failure occurs....

Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from workshops that were conducted on February 19-21 and October 6-7, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS. Supplemental videos that narrate a step-by-step recap and overview of these processes are found in the Related Content section of this dataset.

Funding for this workshop and material was funded by the Biodiversity and Protected Areas Management (BIOPAMA) programme. The BIOPAMA programme is an initiative of the Organisation of African, Caribbean and Pacific (ACP) Group of States financed by the European Union's 11th European Development Fund. BIOPAMA is jointly implemented by the International Union for Conservation of Nature {IUCN) and the Joint Research Centre of the European Commission (EC-JRC). In the Pacific region, BIOPAMA is implemented by IUCN's Oceania Regional Office (IUCN ORO) in partnership with the Secretariat of the Pacific Regional Environment Programme (SPREP). The overall objective of the BIOPAMA programme is to contribute to improving the long-term conservation and sustainable use of biodiversity and natural resources in the Pacific ACP region in protected areas and surrounding communities through better use and monitoring of information and capacity development on management and governance.

The data management plan is developed to provide guidance on data management practices and standards for research institutions and teams working on Africa RISING program. The document is organized as follows: Section 2 discusses open data access, Africa RISING Program data sources and types, metadata management, and data standardization. Section 3 discusses Program data management and access tools. Section 4 discusses internal and external diffusion of Program data. Section 5 discusses data storage and transmission.

As of June 2024, the most popular database management system (DBMS) worldwide was Oracle, with a ranking score of *******; MySQL and Microsoft SQL server rounded out the top three. Although the database management industry contains some of the largest companies in the tech industry, such as Microsoft, Oracle and IBM, a number of free and open-source DBMSs such as PostgreSQL and MariaDB remain competitive. Database Management Systems As the name implies, DBMSs provide a platform through which developers can organize, update, and control large databases. Given the business world’s growing focus on big data and data analytics, knowledge of SQL programming languages has become an important asset for software developers around the world, and database management skills are seen as highly desirable. In addition to providing developers with the tools needed to operate databases, DBMS are also integral to the way that consumers access information through applications, which further illustrates the importance of the software.