L
Luiz Olavo Bonino da Silva Santos
Researcher at Leiden University
Publications - 44
Citations - 9032
Luiz Olavo Bonino da Silva Santos is an academic researcher from Leiden University. The author has contributed to research in topics: Service discovery & Computer science. The author has an hindex of 16, co-authored 39 publications receiving 5604 citations. Previous affiliations of Luiz Olavo Bonino da Silva Santos include University of Twente & Information Technology University.
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Journal ArticleDOI
The FAIR Guiding Principles for scientific data management and stewardship
Mark Wilkinson,Michel Dumontier,IJsbrand Jan Aalbersberg,Gabrielle Appleton,Myles Axton,Arie Baak,Niklas Blomberg,Jan-Willem Boiten,Luiz Olavo Bonino da Silva Santos,Philip E. Bourne,Jildau Bouwman,Anthony J. Brookes,Timothy Clark,Mercè Crosas,Ingrid Dillo,Olivier G. Dumon,Scott C. Edmunds,Chris T. Evelo,Richard Finkers,Alejandra Gonzalez-Beltran,Alasdair J. G. Gray,Paul Groth,Carole Goble,Jeffrey S. Grethe,Jaap Heringa,Peter A C 't Hoen,Rob Hooft,Tobias Kuhn,Ruben Kok,Joost N. Kok,Scott J. Lusher,Maryann E. Martone,Albert Mons,Abel L. Packer,Bengt Persson,Philippe Rocca-Serra,Marco Roos,Rene van Schaik,Susanna-Assunta Sansone,Erik Anthony Schultes,Thierry Sengstag,Ted Slater,George Strawn,Morris A. Swertz,Mark Thompson,Johan van der Lei,Erik M. van Mulligen,Jan Velterop,Andra Waagmeester,Peter Wittenburg,Katherine Wolstencroft,Jun Zhao,Barend Mons,Barend Mons +53 more
TL;DR: The FAIR Data Principles as mentioned in this paper are a set of data reuse principles that focus on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.
Journal ArticleDOI
Cloudy, increasingly FAIR; Revisiting the FAIR Data guiding principles for the European Open Science Cloud
Barend Mons,Cameron Neylon,Jan Velterop,Michel Dumontier,Luiz Olavo Bonino da Silva Santos,Mark Wilkinson +5 more
TL;DR: The FAIR Data Principles are revisited, to clarify both what FAIRness is, and is not.
Journal ArticleDOI
Addendum: The FAIR Guiding Principles for scientific data management and stewardship
Mark Wilkinson,Michel Dumontier,IJsbrand Jan Aalbersberg,Gabrielle Appleton,Myles Axton,Arie Baak,Niklas Blomberg,Jan Willem Boiten,Luiz Olavo Bonino da Silva Santos,Philip E. Bourne,Jildau Bouwman,Anthony J. Brookes,Timothy Clark,Mercè Crosas,Ingrid Dillo,Olivier G. Dumon,Scott C. Edmunds,Chris T. Evelo,Richard Finkers,Alejandra Gonzalez-Beltran,Alasdair J. G. Gray,Paul Groth,Carole Goble,Jeffrey S. Grethe,Jaap Heringa,Peter A C 't Hoen,Rob Hooft,Tobias Kuhn,Ruben Kok,Joost N. Kok,Scott J. Lusher,Maryann E. Martone,Albert Mons,Abel L. Packer,Bengt Persson,Philippe Rocca-Serra,Marco Roos,Rene van Schaik,Susanna-Assunta Sansone,Erik Anthony Schultes,Thierry Sengstag,Ted Slater,George Strawn,Morris A. Swertz,Mark Thompson,Johan van der Lei,Erik M. van Mulligen,Jan Velterop,Andra Waagmeester,Peter Wittenburg,Katherine Wolstencroft,Jun Zhao,Barend Mons,Barend Mons +53 more
TL;DR: The FAIR Data Principles as discussed by the authors are a set of data reuse principles that focus on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.
Journal ArticleDOI
FAIR principles : interpretations and implementation considerations
Annika Jacobsen,Ricardo de Miranda Azevedo,Nick Juty,Dominique Batista,Simon J. Coles,Ronald Cornet,Mélanie Courtot,Mercè Crosas,Michel Dumontier,Chris T. Evelo,Carole Goble,Giancarlo Guizzardi,Karsten Kryger Hansen,Ali Hasnain,Kristina Hettne,Jaap Heringa,Rob Hooft,Melanie Imming,Keith G. Jeffery,Rajaram Kaliyaperumal,Martijn G. Kersloot,Christine Kirkpatrick,Tobias Kuhn,Ignasi Labastida,Barbara Magagna,Peter McQuilton,Natalie Meyers,Annalisa Montesanti,Mirjam van Reisen,Philippe Rocca-Serra,Robert Pergl,Susanna-Assunta Sansone,Luiz Olavo Bonino da Silva Santos,Juliane Schneider,George Strawn,Mark Thompson,Mark Thompson,Andra Waagmeester,Tobias Weigel,Mark Wilkinson,Egon Willighagen,Peter Wittenburg,Marco Roos,Barend Mons,Erik Anthony Schultes +44 more
TL;DR: The concept of FAIR implementation considerations is introduced to assist accelerated global participation and convergence towards accessible, robust, widespread and consistent FAIR implementations.
Journal ArticleDOI
A design framework and exemplar metrics for FAIRness.
Mark Wilkinson,Susanna-Assunta Sansone,Erik Anthony Schultes,Peter Doorn,Luiz Olavo Bonino da Silva Santos,Michel Dumontier +5 more
TL;DR: The FAIR Metrics Group as discussed by the authors defines a set of features, attributes, and behaviors that will move a digital resource closer to the FAIR goal, and defines ways to measure FAIRness.