CGIAR open access and research data management
Permanent URI for this collectionhttps://hdl.handle.net/10947/2871
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Item Opening Access to Agriculture Research Products: The Experience of CGIAR(Presentation, 2012-10) Porcari, Enrica M.Enrica Porcari for the Agricultural Information Management Standards (AIMS) Open Access Week October 2012Item Item CGIAR Open Access - Presentation from the 2013 Annual Meeting between CGIAR and the French Research Institutions(Presentation, 2013) Porcari, Enrica M.Item CGIAR Open and FAIR Data Assets Policy(Internal Document, 2021-04-16) CGIAR System Management OfficeApproved by the System Management Board with effect from 16 April 2021 (Decision reference SB/M19/EDP3). This Policy supersedes and replaces in its entirety the 2013 Open Access and Data Management Policy. It addresses funder and publisher requirements, the recommendations of a 2018 external assessment undertaken pursuant to the recommendation of the then CGIAR Independent Evaluation Arrangement and responds to a 2020 Data Management Maturity Assessment.Item CGIAR DMMA Data and Analytics Maturity Assessment Report(Presentation, 2020-09) AccentureItem Review of CGIAR's Open Access/Open Data Policy and implementation support(Report, 2018-03) CGIAR Independent Evaluation ArrangementItem Open Access and Open Data at CGIAR: challenges and solutions(Journal Article, 2017) Devare, Medha; Zandstra, Megan; Clobridge, Abby; Fotsy, Michelle; Abreu, David; Arnaud, Elizabeth; Baraka, Paul; Bonaiuti, Enrico; Chukka, Srinivasa Rao; Dieng, Ibnou; Dreher, Kate; Erlita, Sufiet; Juarez, H.; Kim, Soonho; Koo, Jawoo; Muchlish, Usman; Müller, Martin; Mwanzia, Leroy; Poole, Elizabeth J.; Siddiqui, SalmanCGIAR is a global research partnership of 15 geographically and scientifically diverse Centers dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resource management. The Centers are charged with accelerating innovation to tackle challenges at a variety of scales from the local to the global. This requires data and other research outputs to be findable, accessible, interoperable, and reusable – that is, open via FAIR principles, and inter-linked where relevant. CGIAR Centers have made strong progress in implementing publication and data repositories; however, many of these still represent silos whose contents are not generally easily discoverable or inter-linked (e.g., agronomic trial data with socioeconomic or adoption data in the same geographies). In the absence of such interoperability-mediated discovery, “open” is of limited utility. The overall goal is for CGIAR’s trove of research data and associated information to be indexed and interlinked through a demand-driven cyberinfrastructure for agriculture, ensuring that research outputs are discoverable by humans and machines, and reusable via appropriate licensing to enhance innovation, uptake and impact. There are challenges to achieving this goal, not only across CGIAR, but for the agricultural domain in general. Among the foremost hurdles is that “open” tends to remain an unfunded mandate, making it difficult to operationalize effectively. Further, there is still significant concern on the part of scientists about making data open – largely centered around issues of trust, time, and quality – resulting in repositories frequently exposing metadata rather than the data sets themselves. While the ability to find metadata about resources qualifies as improvement, it continues to impose barriers to data access, discoverability, integration, and analysis, without which complex challenges to global agriculture development cannot be effectively addressed. CGIAR is addressing the urgent need to create a data sharing culture and enabling environment for Open Access and Open Data (OA/OD) that includes projects planning for OA/OD and allocating funds to support it, in parallel with the technical infrastructure mentioned above. While the technology necessary to enable FAIR outputs exists, achieving success implies data provider and consumer trust and buy-in, agreement and adherence to interoperability standards and/or mapping across varied approaches, and compliance with guidelines (including those on citation and licensing governing content reuse). Agricultural institutions, including CGIAR, are only now beginning to address these issues systematically, to agree on and adopt standards-based systems and processes, and to build cross-walks across differing schemas. Through its Open Access and Open Data initiative funded by the Bill and Melinda Gates Foundation, and via plans for an ambitious Big Data and ICT Platform , CGIAR is developing technical and cultural approaches that will enable research content to be consistently and seamlessly discovered, interlinked, and analyzed across its Centers. This paper describes the strategy used to identify the specific contexts and challenges faced by Centers in building an infrastructure and culture for OA/OD across CGIAR, with the ultimate goal of achieving greater impact in agricultural research for development.Item CGIAR Data Management Task Force (DMTF) Annual Meeting 2016(Meeting Report, 2016-07) CGIAR System Management OfficeItem A Global Data Ecosystem for Agriculture and Food(Internal Document, 2016-09-15) Global Open Data for Agriculture and NutritionAgriculture would benefit hugely from a common data ecosystem. Produced and used by diverse stakeholders, from smallholders to multinational conglomerates, a shared global data space would help build the infrastructures that will propel the industry forward. In light of growing concern that there was no single entity that could make the industry-wide change needed to acquire and manage the necessary data, this paper was commissioned by Syngenta with GODAN’s assistance to catalyse consensus around what form a global data ecosystem might take, how it could bring value to key players, what cultural changes might be needed to make it a reality and finally what technology might be needed to support it. This paper looks at the challenges and principles that must be addressed in in building a global data ecosystem for agriculture. These begin with building incentives and trust: amongst both data providers and consumers: in sharing, opening and using data. Key to achieving this will be developing a broad awareness of, and making efforts to improve, data quality, provenance, timeliness and accessibility. We set out the key global standards and data publishing principles that can be followed in supporting this, including the ‘Five stars of open data’ and the ‘FAIR principles’ and offer several recommendations for stakeholders in the industry to follow.Item CGIAR Open Access and Data Management Implementation Guidelines(Internal Document, 2016-09-12) CGIAR System Management OfficeItem CGIAR Open Access and Data Management Policy(Internal Document, 2016-09-12) CGIAR System Management OfficeReplaced by https://hdl.handle.net/10568/113623Item CGIAR Open Access and Open Data Phase I (Years 1-2) Assessment, Prioritization, and Coordination of CGIAR’s Current Open Environment(Internal Document, 2015-01-01) CGIAR Consortium OfficeCGIAR Open Access and Open Data Phase I (Years 1-2) Assessment, Prioritization, and Coordination of CGIAR’s Current Open EnvironmentItem CGIAR Data Summit, Nov 2013: Meeting Report(Meeting Report, 2013-12-19) CGIAR Consortium OfficeThe CGIAR Data Summit took place in 26: 28th November, 2013 in Rome. It was convened by the CGIAR Consortium Office, in partnership with FAO, to discuss the data management landscape with experts in various data domains: within and beyond CGIAR. The major challenge for the workshop was: now that all 15 CGIAR Research Centers have signed up for the Open Access and Data Management policy: making it mandatory: how will that policy actually be implemented?Item Draft 2: CGIAR Open Access and Data Management Implementation Guidelines (open for comment until 24 January 2014)(Internal Document, 2013-12-18) CGIAR Consortium OfficeItem White Paper: Shifting the goal post - from high impact journals to high impact data(Internal Document, 2013-10-11) Gassner, Anja; Álvare, Luz Marina; Bamba, Zoumana; Beare, Douglas J.; Bernardo, Marichu; Biradar, Chandrashekhar M.; Brakel, Martin L. van; Chapman, Robert; Dileepkumar, Guntuku; Dieng, Ibnou; Erlita, Sufiet; Fulss, Richard; Poole, Elizabeth J.; Kshatriya, Mrigesh; Reinhard Simon, Guvener Selim; Prasai, Nilam; Garruccio, Maria; Staiger Rivas, Simone; Rajasekharan, Maya; Chukka, Srinivasa RaoThe purpose of this white paper is to provide an overview of the ongoing initiatives at center level to respond to changing public expectations and to the challenge of improving the conduct of science by making research data widely available. We also attempt to provide a framework for implementing open access for research data to maximize CGIAR’s impact on development. The remainder of this paper proceeds as follows; firstly a summary of the diversity of research data produced by the centers is given, followed by an overview of the existing infrastructure for data management for each Center. Secondly, some of the limitations and barriers faced by the centers in their process to mainstream research data publishing are addressed. The paper concludes with recommendations for how these limitations and barriers can be tackled.Item CONCEPT NOTE: Providing Implementation Support for the CGIAR Open Access & Data Management Roadmap(Working Paper, 2013-09-30) CGIAR Consortium OfficeItem Open Access and Data Management Policy (the Policy) FAQs(Working Paper, 2013-09-30) CGIAR Consortium OfficeItem CGIAR Open Access and Data Management Policy (approved by Consortium Board October 2013)(Internal Document, 2013-10-02) CGIAR Consortium OfficeItem Draft 1 - CGIAR Open Access and Data Management Implementation Guidelines (open for comment until 15 November 2013)(Internal Document, 2013-10-02) CGIAR Consortium OfficeItem Open Access and Data Management Policy Review Comments from Fund Council, Partners, and DGs, September 2013(Working Paper, 2013-09-10) CGIAR Consortium Office