| The FAIR Guiding Principles for scientific data management and stewardship MD Wilkinson, M Dumontier, IJJ Aalbersberg, G Appleton, M Axton, ... Scientific data 3 (1), 1-9, 2016 | 17136* | 2016 |
| Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud B Mons, C Neylon, J Velterop, M Dumontier, LOB da Silva Santos, ... Information Services and Use 37 (1), 49-56, 2017 | 520 | 2017 |
| 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 | 368 | 2020 |
| A design framework and exemplar metrics for FAIRness MD Wilkinson, SA Sansone, E Schultes, P Doorn, ... Scientific data 5 (1), 1-4, 2018 | 296* | 2018 |
| Evaluating FAIR maturity through a scalable, automated, community-governed framework MD Wilkinson, M Dumontier, SA Sansone, LO Bonino da Silva Santos, ... Scientific data 6 (1), 174, 2019 | 189 | 2019 |
| Interoperability and FAIRness through a novel combination of Web technologies MD Wilkinson, R Verborgh, LOB da Silva Santos, T Clark, MA Swertz, ... PeerJ Computer Science 3, e110, 2017 | 115 | 2017 |
| A generic workflow for the data FAIRification process A Jacobsen, R Kaliyaperumal, LOB da Silva Santos, B Mons, E Schultes, ... Data Intelligence 2 (1-2), 56-65, 2020 | 111 | 2020 |
| Distributed analytics on sensitive medical data: the personal health train O Beyan, A Choudhury, J Van Soest, O Kohlbacher, L Zimmermann, ... Data Intelligence 2 (1-2), 96-107, 2020 | 110 | 2020 |
| The “A” of FAIR–as open as possible, as closed as necessary A Landi, M Thompson, V Giannuzzi, F Bonifazi, I Labastida, ... Data Intelligence 2 (1-2), 47-55, 2020 | 100 | 2020 |
| Hoen MD Wilkinson, M Dumontier, IJ Aalbersberg, G Appleton, M Axton, A Baak, ... PAC’t, Hooft, R, Kuhn, T, Kok, R, Kok, J, Lusher, SJ, Martone, ME, Mons, A …, 2016 | 68 | 2016 |
| Making FAIR easy with FAIR tools: From creolization to convergence M Thompson, K Burger, R Kaliyaperumal, M Roos, LOB da Silva Santos Data Intelligence 2 (1-2), 87-95, 2020 | 50 | 2020 |
| From user goals to service discovery and composition LOB da Silva Santos, G Guizzardi, LF Pires, M van Sinderen Advances in Conceptual Modeling-Challenging Perspectives: ER 2009 Workshops …, 2009 | 50 | 2009 |
| GO FAIR e os princípios FAIR: o que representam para a expansão dos dados de pesquisa no âmbito da Ciência Aberta PC HENNING, CJS RIBEIRO, LOBS SANTOS, PX SANTOS Em Questão; v. 25, n. 2, maio/ago. 2019; 389-412 24 (2), 412-389, 2018 | 48 | 2018 |
| A service architecture for context awareness and reaction provisioning LOB da Silva Santos, F Ramparany, PD Costa, P Vink, R Etter, T Broens 2007 IEEE Congress on Services (Services 2007), 25-32, 2007 | 45 | 2007 |
| FAIR data points supporting big data interoperability LOB da Silva Santos, MD Wilkinson, A Kuzniar, R Kaliyaperumal, ... Enterprise Interoperability in the Digitized and Networked Factory of the …, 2016 | 44 | 2016 |
| Towards a BPM cloud architecture with data and activity distribution EF Duipmans, LF Pires, LOB da_Silva Santos 2012 IEEE 16th International Enterprise Distributed Object Computing …, 2012 | 44 | 2012 |
| FAIR Data Point: A FAIR-oriented approach for metadata publication LO Bonino da Silva Santos, K Burger, R Kaliyaperumal, MD Wilkinson Data Intelligence, 1-21, 2022 | 43* | 2022 |
| D2. 5 fair semantics recommendations second iteration W Hugo, Y Le Franc, G Coen, J Parland-von Essen, L Bonino Zenodo, 2020 | 38* | 2020 |
| A transformation-based approach to business process management in the cloud EF Duipmans, L Ferreira Pires, LO Bonino da Silva Santos Journal of grid computing 12, 191-219, 2014 | 35 | 2014 |
| 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 | 34 | 2020 |
Mark D WilkinsonIsaac Peral Distinguished Researcher, UPME-mail megerősítve itt: upm.es
