The resources listed below are data management best practices and policies that are aimed at an international scientific audience rather than a specific geographic region:
- Organization: Belmont Forum e-Infrastructures & Data Management (BFE-INF) Policy Comparison Tool
Link: https://www.belmontforum.org/eidm/#policyComparison
Contains: A tool allowing users to select up to 3 organizations in which to compare data policies and best practices.
- Organization: Consultative Group for International Agricultural Research (CGIAR)
Link: https://cgspace.cgiar.org/handle/10947/4488
Contains: CGIAR's policies state that funded projects should use their best efforts to make all information products Open Access in suitable repositories, with consideration of interoperability through standardized metadata and appropriate storage formats. CGIAR outlines the time periods in which certain information products should be available via open access, including 6 months from the date of publication for peer-reviewed journal articles and books/book chapters, 3 months for reports and other non-peer-review papers, and 12 months for data and databases. CGIAR also provides the online platform MARLO (Managing Agricultural Research for Learning & Outcomes) which allows researchers to document all aspects of the project cycle from planning to reporting and learning, while ensuring that data management principles are being upheld and met.
- Organization: Cornell University Research Data Management Service Group
Link: https://data.research.cornell.edu/content/glossary
Contains: A glossary of data management terms, including entries for all stages of data management.
- Organization: Data Curation Profiles
Link: http://datacurationprofiles.org/
Contains: A toolkit to aid in curating more of research outputs - moving from active management of data and digital outputs to dissemination and preservation of them.
- Organization: Data Observation Network for Earth (DataONE)
Link: https://www.dataone.org/all-best-practices
Contains: Resources for data management best practices, from data discovery, backup, and storage.
- Organization: DMPTool
Link: https://dmptool.org/
Contains: Templates for creating data management plans that meet institutional and funder requirements, including templates from the Digital Curation Centre, NSF-BIO: Biological Sciences, USDA-NIFA: National Institute of Food and Agriculture, NIH-GEN: Generic, and NEH-ODH: Office of Digital Humanities.
- Organization: ESIP Data Management Training Clearinghouse
Link: http://dmtclearinghouse.esipfed.org/
Contains: A registry for online learning resources focusing on research data management
- Organization: Harvard Dataverse Project
Link: https://dataverse.org/best-practices/data-management
Contains: Templates for creating data management plans that meet institutional and funder requirements, including templates from the National Endowment for the Humanities (NIH), the National Science Foundation (NSF), and the National Institute of Justice (NIJ). Dataverse also serves as an open source web application to share, preserve, cite, explore, and analyze research data.
- Organization: The Innovation Policy Platform
Link: https://www.innovationpolicyplatform.org/
Contains: A platform developed by the World Bank Group and the Organisation for Economic Co-operation and Development (OECD) that contains resources on open data from both a global and country-level perspective.
- Organization: The InterAcademy Partnership
Link: http://www.interacademies.org/default.aspx?id=11294&q=open+data
Contains: Resources on discussions, position statements, and press releases relating to open data from across the world.
- Organization: International Institute for Applied Systems Analysis - IIASA
Link: http://www.iiasa.ac.at/
Contains: IIASA policies on research data management - currently, data management requirements are generally informed by funder requirements, such as Horizon 2020 projects. However, IIASA recently implemented an open access policy with regards to data which accompanies their policy for research data management that is based on the LEARN Model (linked below). For more information, please see the resources below: IIASA Open Access to Data Policy, adopted in 2018
LEARN Model Policy for Research Data Management (RDM) at Research Institutions
- Organization: International Science Council
Link: https://council.science/search?term=open%20data
Contains: Resources on discussions, position statements, and press releases relating to open data from across the world.
- Organization: International Social Science Council - ISSC
Link: http://www.worldsocialscience.org/?s=open+data
Contains: Resources on discussions, position statements, and press releases relating to open data from across the world.
- Organization: New York University (NYU) Health Sciences Library
Link: https://youtu.be/66oNv_DJuPc
Contains: Informational video titled "Data Sharing and Management Snafu in 3 Short Acts," which highlights the issues for researchers when data management and sharing is not properly enforced.
- Organization: Stanford Libraries
Link: https://library.stanford.edu/research/data-management-services/data-best-practices
Contains: Resources for understanding the components necessary for solid data management practices.
- Organization: World Wide Web Consortium (W3C)
Link: https://www.w3.org/TR/vocab-dcat/
Contains: Provides a Data Catalog Vocabulary (DCAT) which is designed to facilitate interoperability between data catalogs published on the Web.