S
Scott C. Edmunds
Researcher at Beijing Genomics Institute
Publications - 54
Citations - 9169
Scott C. Edmunds is an academic researcher from Beijing Genomics Institute. The author has contributed to research in topics: Computer science & Publishing. The author has an hindex of 15, co-authored 38 publications receiving 6054 citations. Previous affiliations of Scott C. Edmunds include Stanford University & University of London.
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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
Toward interoperable bioscience data
Susanna-Assunta Sansone,Philippe Rocca-Serra,Dawn Field,Eamonn Maguire,Chris F. Taylor,Chris F. Taylor,Oliver Hofmann,Hong Fang,Steffen Neumann,Weida Tong,Linda A. Amaral-Zettler,Kimberly Begley,Kimberly Begley,Timothy F. Booth,Lydie Bougueleret,Gully A. P. C. Burns,Brad Chapman,Timothy Clark,Lee-Ann Coleman,Jay Copeland,Sudeshna Das,Antoine de Daruvar,Paula de Matos,Ian Dix,Scott C. Edmunds,Chris T. Evelo,Chris T. Evelo,Mark K. Forster,Pascale Gaudet,Pascale Gaudet,Jack A. Gilbert,Carole Goble,Julian L. Griffin,Julian L. Griffin,Daniel J. Jacob,Daniel J. Jacob,Jos C. S. Kleinjans,Lee Harland,Kenneth Haug,Henning Hermjakob,Shannan J. Ho Sui,Alain Laederach,Shaoguang Liang,Stephen Marshall,Annette McGrath,Emily Merrill,Dorothy Reilly,Magali Roux,Caroline E. Shamu,Catherine A. Shang,Christoph Steinbeck,Anne Trefethen,Bryn Williams-Jones,Katherine Wolstencroft,Ioannis Xenarios,Winston Hide +55 more
TL;DR: The prerequisites for data commoning are described and an established and growing ecosystem of solutions using the shared 'Investigation-Study-Assay' framework to support that vision are presented.
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
Large and linked in scientific publishing.
TL;DR: The primary goals for the journal are to promote more rapid data release, broader use and reuse of data, improved reproducibility of results, and direct, easy access between analyses and their data.
Journal ArticleDOI
Peering into peer-review at GigaScience
TL;DR: The rationale for undertaking open peer-review as standard is provided, examples of the positive experiences to date are given, and others are encouraged to open up the normally opaque publication process.