Research data sharing
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The document discusses the importance of sharing research data in agriculture, emphasizing its value, potential cost savings, and the benefits of increased visibility and reuse. It highlights the growing demand from research donors, funders, and journals for open data access, supported by initiatives like the Research Data Alliance and GODAN. The CGIAR's policies regarding open access and data management also outline sharing timelines and principles for making data findable, accessible, interoperable, and reusable.
Research data sharing
- 1. Leroy Mwanzia Data and Information Manager Research Data Sharing Webinar CGIAR Gender and Agriculture Research Network 29th September 2016 lmwanzia@cgiar.org
- 2. What: Research Data Primary research data: • Is valuable • Can be expensive and time consuming to generate • Has value beyond the use of the original research
- 3. Why Share Data Reduces the cost of duplicating data collection Increases the impact and visibility of research Icons from www.flaticon.com licensed CC 3.0 BY Recognition & attribution: Can provide a direct credit to the researcher as a research output in its own right Provides important resources for education and training Facilitating science: discovery and access reinforces open scientific enquiry and can lead to new unanticipated discoveries. Promotes the research that created the data and demonstrates continued use and relevance of the research
- 4. Why Share? Eradicate Information Entropy Information Entropy (Michener et al. 1997)
- 5. Information Entropy – Demand for 20 year old data
- 6. Other Reasons to share: Research Donors • Donors increasingly require that publicly funded research data be made openly accessible as much as possible. • Policies tend to allow researchers exclusive data use for a reasonable time period to publish the results of the data.
- 7. Other Reasons to share: Research Funders
- 8. Other Reasons to share: Research Funders
- 9. Other Reasons to share: Journals • Journals increasingly require data that form the basis for publications to be shared or deposited within an accessible database or repository. • For example ‘Nature journals’ and ‘PLOS journals’ have policies that require authors to make data and materials available to readers, as a condition of publication.
- 10. The Research Data Alliance (RDA) builds the social and technical bridges that enable open sharing of data. The RDA vision is researchers and innovators openly sharing data across technologies, disciplines, and countries to address the grand challenges of society. Other Reasons to share: Open Agriculture Data Initiatives
- 11. Other Reasons to share: Open Agriculture Data Initiatives GODAN supports the proactive sharing of open data to make information about agriculture and nutrition available, accessible and usable to deal with the urgent challenge of ensuring world food security. Over 374 partners:
- 12. Other Reasons to share: Open Agriculture Data Initiatives “The digital revolution fueled by open data is starting to do for the modern world of agriculture what the industrial revolution did for agricultural productivity over the past century.” Tom Vilsack - U.S. Agriculture Secretary, G8 International Conference on Open Data for Agriculture, 29th April 2013
- 13. Other Reasons to share: Data Citation Benefit? Reasons for the data citation benefit Piwowar HA, Vision TJ. (2013) Data reuse and the open data citation advantage. PeerJ 1:e175 https://doi.org/10.7717/peerj.175 • Citation benefit from open data, although a smaller one than previously reported. e.g. 2004–2005 deposited data showed a clear benefit of about 30% • Authors reuse of their own data for around 2 years. Third-parties reused the data for up to 6 years. Piwowar HA, Vision TJ. (2013) Data reuse and the open data citation advantage.PeerJ 1:e175 https://doi.org/10.7717/peerj.175
- 14. Data Citation Principles • Importance • Credit and Attribution • Evidence • Unique Identification • Access • Persistence • Specificity and Verifiability • Interoperability and Flexibility “Data should be considered legitimate, citable products of research.” Data Citation Synthesis Group: Joint Declaration of Data Citation Principles. Martone M. (ed.) San Diego CA: FORCE11; 2014 [https://www.force11.org/group/joint-declaration-data-citation-principles-final
- 15. CGIAR Big Data Platform
- 16. Where to share: Peer Reviewed Data Journals
- 17. Where to share: Subject Specific Repositories
- 18. Where to share: Institutional/CRP Repositories
- 19. Where to share: General Repositories
- 20. Guiding principle: FAIR Data Findable Accessible Interoperable Re-usable
- 21. Restrictions to Sharing Data • Privacy – Information that identifies and individual • Confidentiality – Information that should not be shared • Security – Release of data will cause threats to someone or something
- 22. CGIAR Intellectual Assets (IA) Principles • CGIAR regards its intellectual assets as International Public Goods (IPG) • Maximize the global accessibility and ensure broadest possible impact of IPGs • We work with partners • Respect of Farmers rights • Conservation, access and widespread use of Genetic resources • Private – public partnerships
- 23. CGIAR Open Access and Data Management Policy • Intellectual assets policy as applied to data and other research outputs (information products) • Open Access – Publications, policies, images, videos, toolkits…… • Open Data – Databases, datasets, linked open data • Effective October 2013
- 24. Types of Information Products Policy Deposit Schedule (from October 2, 2018) Peer-reviewed versions of journal articles Latest: 6 months from publication Self-published journals, books, reports etc. Self-published materials not currently addressed in the Policy Reports and other papers Latest: within 3 months of completion Externally or commercially published books and book chapters Latest: within 6 months of completion Data and data sets Latest: within 12 months of appropriate project milestone within 6 months of publication of products underpinned by that data Video, audio, scientific images, Photographs Latest: within 3 months of completion Computer software/applications/code Upon completion of software development Metadata Latest: before or on publication of the information product Core/corporate governance documents appropriate for public consumption As per ‘reports’ category of Information Product (Core/corporate governance documents not currently addressed separately in the Policy) When to share: OA-DM Policy Sharing Timelines
- 25. Types of Information Products Policy Deposit Schedule (from October 2, 2018) Peer-reviewed versions of journal articles Latest: 6 months from publication Self-published journals, books, reports etc. Self-published materials not currently addressed in the Policy Reports and other papers Latest: within 3 months of completion Externally or commercially published books and book chapters Latest: within 6 months of completion Data and data sets Latest: within 12 months of appropriate project milestone within 6 months of publication of products underpinned by that data Video, audio, scientific images, Photographs Latest: within 3 months of completion Computer software/applications/code Upon completion of software development Metadata Latest: before or on publication of the information product Core/corporate governance documents appropriate for public consumption As per ‘reports’ category of Information Product (Core/corporate governance documents not currently addressed separately in the Policy) When to share: OA-DM Policy Sharing Timelines
- 26. Data Sharing: Pre- Publication • CGIAR Researchers are generally not obligated to share data, during the pre- publication, within the CGIAR. (Sometimes even within Centres and CRPs) • Pre-publication sharing across CRP’s and Centres may not be mandatory even when working within the same project.
Editor's Notes
- #13: The Agriculture Market Information System, created by the G20 and supported by the World Bank, uses open data to monitor and analyze key markets for wheat, maize, rice and soybeans. Its information helped inform responses and decisions during the 2012 drought.
- #14: The Agriculture Market Information System, created by the G20 and supported by the World Bank, uses open data to monitor and analyze key markets for wheat, maize, rice and soybeans. Its information helped inform responses and decisions during the 2012 drought.
- #15: The Agriculture Market Information System, created by the G20 and supported by the World Bank, uses open data to monitor and analyze key markets for wheat, maize, rice and soybeans. Its information helped inform responses and decisions during the 2012 drought.