| FAIR principles: interpretations and implementation considerations A Jacobsen, R de Miranda Azevedo, N Juty, D Batista, S Coles, R Cornet, ... Data intelligence 2 (1-2), 10-29, 2020 | 253 | 2020 |
| The design and management of effective distance learning programs R Discenza, C Howard, K Schenk IGI Global, 2003 | 111 | 2003 |
| Dataperf: Benchmarks for data-centric ai development M Mazumder, C Banbury, X Yao, B Karlaš, W Gaviria Rojas, S Diamos, ... Advances in Neural Information Processing Systems 36, 2024 | 73 | 2024 |
| Towards the tipping point for FAIR implementation M van Reisen, M Stokmans, M Basajja, AO Ong'ayo, C Kirkpatrick, ... Data Intelligence 2 (1-2), 264-275, 2020 | 52 | 2020 |
| A practical guide to metabolomics software development HY Chang, SM Colby, X Du, JD Gomez, MJ Helf, K Kechris, ... Analytical chemistry 93 (4), 1912-1923, 2021 | 42 | 2021 |
| Build it, but will they come? A geoscience cyberinfrastructure baseline analysis J Cutcher-Gershenfeld, KS Baker, N Berente, DR Carter, LA DeChurch, ... Data Science Journal 15, 8-8, 2016 | 35 | 2016 |
| Five ways consortia can catalyse open science J Cutcher-Gershenfeld, KS Baker, N Berente, C Flint, G Gershenfeld, ... Nature 543 (7647), 615-617, 2017 | 33 | 2017 |
| Encyclopedia of distance learning C Howard, JV Boettcher, L Justice, KD Schenk, PL Rogers, GA Berg IGI Global, 2005 | 33 | 2005 |
| The need of industry to go FAIR H Van Vlijmen, A Mons, A Waalkens, W Franke, A Baak, G Ruiter, ... Data Intelligence 2 (1-2), 276-284, 2020 | 28 | 2020 |
| Sources of irreproducibility in machine learning: A review OE Gundersen, K Coakley, C Kirkpatrick, Y Gil arXiv preprint arXiv:2204.07610, 2022 | 24 | 2022 |
| FAIR practices in Africa M van Reisen, M Stokmans, M Mawere, M Basajja, AO Ong'ayo, ... Data Intelligence 2 (1-2), 246-256, 2020 | 19 | 2020 |
| AI benchmarking for science: Efforts from the MLCommons science working group J Thiyagalingam, G von Laszewski, J Yin, M Emani, J Papay, G Barrett, ... International Conference on High Performance Computing, 47-64, 2022 | 12 | 2022 |
| FAIR for AI: An interdisciplinary and international community building perspective EA Huerta, B Blaiszik, LC Brinson, KE Bouchard, D Diaz, C Doglioni, ... Scientific data 10 (1), 487, 2023 | 10 | 2023 |
| Playing catch-up in building an open research commons PE Bourne, V Bonazzi, A Brand, B Carroll, I Foster, RV Guha, R Hanisch, ... Science 377 (6603), 256-258, 2022 | 10 | 2022 |
| FAIR principles: Interpretations and implementation considerations. Data Intelligence, 2 (1–2), 10–29 A Jacobsen, R de Miranda Azevedo, N Juty, D Batista, S Coles, R Cornet, ... | 10 | 2020 |
| Luiz Olavo Bonino da Silva Santos, Juliane Schneider, George Strawn, Mark Thompson, Andra Waagmeester, Tobias Weigel, Mark D. Wilkinson, Egon L. Willighagen, Peter Wittenburg … A Jacobsen, R de Miranda Azevedo, N Juty, D Batista, S Coles, R Cornet, ... Data Intelligence 2 (1-2), 10-29, 2020 | 9 | 2020 |
| Container-based analysis environments for low-barrier access to research data C Willis, M Lambert, K McHenry, C Kirkpatrick Proceedings of the Practice and Experience in Advanced Research Computing …, 2017 | 9 | 2017 |
| FAIR Principles: Interpretations and Implementation Considerations. Data Intelligence 2: 10‑29 A Jacobsen, R de Miranda Azevedo, N Juty, D Batista, S Coles, R Cornet, ... | 8 | 2020 |
| An iterative process of integrating and developing big data modeling and visualization tools in collaboration with public health officials N Benbow, C Kirkpatrick, A Gupta, J Villamar, K Chernyshov, N Cramer, ... SAGE Publications Ltd, 2020 | 8 | 2020 |
| M. vanReisen, P. Rocca-Serra, R. Pergl, S A Jacobsen, R de Miranda Azevedo, N Juty, D Batista, S Coles, R Cornet, ... A. Sansone, LOB da Silva Santos, J. Schneider, G. Strawn, M. Thompson, A …, 2020 | 7 | 2020 |
Joel Cutcher-GershenfeldProfessor, Heller School for Social Policy and Management, Brandeis UniversityVerified email at brandeis.edu
