Because good research needs good data
Author Title Type [ Year(Asc)]
Whyte A, Banelytė V.  2019.  Case studies on Open Science in the context of ERC projects - Set 5.
Davidson J, Engelhardt C, Proudman V, Stoy L, Whyte A.  2019.  D3.1 FAIR Policy Landscape Analysis.
Whyte A, Engelhardt C, Bangert D, Kayumbi Kabeya G, Lambert S, Thorley M, O'Connor R, Herterich P, Davidson J.  2019.  D3.2 FAIR Data Practice Analysis.
Herterich P, Davidson J, Whyte A, Molloy L, Matthews B, Kayumbi Kabeya G.  2019.  D6.1 Overview of needs for competence centres.
Whyte A, Leenarts E, de Vries J, Huigen F, Kuehn E, Sipos G, Kalaitzi V, Dijk E, Jones S, Ashley K.  2019.  D7.5: Strategy for Sustainable Development of Skills and Capabilities.
Jones S, Pergl R, Hooft R, Miksa T.  2019.  Data Management Planning: how requirements and solutions are beginning to converge. Data Intelligence. Vol 2 (1):p.208-219.
Herterich P, Davidson J, Grootveld M, Whyte A, Molloy L, Matthews B, Kayumbi Kabeya G.  2019.  FAIRsFAIR Characterisation of Competence Centres.
Davidson J, Whyte A.  2019.  FAIRsFAIR Policy and Practice Survey 2019 data for D3.1_D3.2_D6.1 (1.0).
Davidson J, Engelhardt C, Proudman V, Stoy L.  2019.  FAIRsFAIR Policy Characterisation Data for D3.1 (1.0).
Miksa T, Simms S, Mietchen D, Jones S.  2019.  Ten principles for machine-actionable data management plans. PLoS Comput Biol. 15(3)
Higman R, Bergman D, Jones S.  2019.  Three camps, one destination: the intersections of research data management, FAIR and Open. Insights. 32(1)
Davidson J.  2016.  Fostering Open Science Practice through Recognising and Rewarding Research Data Management and Curation Skills. LIS education and research in a dynamic information landscape: proceedings of the Library and Information Studies Centre 75 years commemorative conference.