The health care and life sciences community profile for dataset descriptions

Autor: Alejandra Gonzalez-Beltran, Jerven Bolleman, Laurens Rietveld, M. Scott Marshall, Simon Lin, Norio Kobayashi, Nick Juty, Joachim Baran, Alasdair J. G. Gray, Jose Cruz-Toledo, Erich Gombocz, Peter Ansell, Paul Groth, Kalpana Krishnaswami, Simon Jupp, Maori Ito, Vladimir Alexiev, Atsuko Yamaguchi, Michel Dumontier, Christopher J. Mungall, Alison Callahan, Toshiaki Katayama, Melissa A. Haendel, Michael Miller, Sarala M. Wimalaratne, Nicolas Le Novère, Gary D. Bader, Pascale Gaudet, Camille Laibe, James Malone

Publikováno v: PeerJ
PeerJ, Vol 4, p e2331 (2016)
BASE-Bielefeld Academic Search Engine
PEERJ, 4:2331. PeerJ Inc.
PeerJ, vol 4, iss 8
Dumontier, M; Gray, AJG; Marshall, MS; Alexiev, V; Ansell, P; Bader, G; et al.(2016). The health care and life sciences community profile for dataset descriptions. PeerJ, 2016(8). doi: 10.7717/peerj.2331. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/74x239w9

© 2016 Dumontier et al. Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. However, while there are many relevant vocabularies for the annotation of a dataset, none sufficiently captures a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be9596bdd8b231eb911476d2873892f1
https://cris.maastrichtuniversity.nl/en/publications/e94fd67a-8eff-4ca2-b943-ca71a0b6a1bd

The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery

Autor: Michel Dumontier, Dana Klassen, Leonid L. Chepelev, Núria Queralt-Rosinach, Geraint Duck, Alison Callahan, Christopher J. O. Baker, James P. McCusker, Jose Cruz-Toledo, Robert Hoehndorf, Nicholas Del Rio, Natalia Villanueva-Rosales, Nichealla Keath, Mark Wilkinson, Matthias Samwald, Joachim Baran, Laura I. Furlong

Publikováno v: Journal of biomedical semantics, 5:14. BioMed Central Ltd
Journal of Biomedical Semantics

The Semanticscience Integrated Ontology (SIO) is an ontology to facilitate biomedical knowledge discovery. SIO features a simple upper level comprised of essential types and relations for the rich description of arbitrary (real, hypothesized, virtual

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85c77054197ca4733b38151a7c710271
https://doi.org/10.1186/2041-1480-5-14

The SADI Personal Health Lens

Autor: Christopher J. O. Baker, Artjom Klein, Mark Wilkinson, E. Luke McCarthy, Jose Cruz-Toledo, Michel Dumontier, Ben Vandervalk

Publikováno v: JMIR Research Protocols, 2(1). JMIR Publications Inc.
JMIR Research Protocols
JMIR Research Protocols, Vol 2, Iss 1, p e14 (2013)

BackgroundThe Web provides widespread access to vast quantities of health-related information that can improve quality-of-life through better understanding of personal symptoms, medical conditions, and available treatments. Unfortunately, identifying

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8b77d4f9cdeb02f45502fa8c93c5ecf
https://doi.org/10.2196/resprot.2315

Aptamer base: a collaborative knowledge base to describe aptamers and SELEX experiments

Autor: Amanda Giamberardino, Erin M. McConnell, Maria C. DeRosa, Xueru Zhang, Jose Cruz-Toledo, Maureen McKeague, Michel Dumontier, Tariq Francis

Publikováno v: Database-The Journal of Biological Databases and Curation. Oxford University Press
Database: The Journal of Biological Databases and Curation

Over the past several decades, rapid developments in both molecular and information technology have collectively increased our ability to understand molecular recognition. One emerging area of interest in molecular recognition research includes the i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efa0be376acc1b4bfffe22ddbfc6cbc0
https://cris.maastrichtuniversity.nl/en/publications/52f8e4cf-279b-4b67-b7dd-4470bd1d6a8d

The health care and life sciences community profile for dataset descriptions

Autor: Michel Dumontier, Alasdair J.G. Gray, M. Scott Marshall, Vladimir Alexiev, Peter Ansell, Gary Bader, Joachim Baran, Jerven T. Bolleman, Alison Callahan, José Cruz-Toledo, Pascale Gaudet, Erich A. Gombocz, Alejandra N. Gonzalez-Beltran, Paul Groth, Melissa Haendel, Maori Ito, Simon Jupp, Nick Juty, Toshiaki Katayama, Norio Kobayashi, Kalpana Krishnaswami, Camille Laibe, Nicolas Le Novère, Simon Lin, James Malone, Michael Miller, Christopher J. Mungall, Laurens Rietveld, Sarala M. Wimalaratne, Atsuko Yamaguchi

Publikováno v: PeerJ, Vol 4, p e2331 (2016)

Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. However, while there are many relevant vocabularies for the annotation of a dataset, none sufficiently captures all the necessary metadata

Externí odkaz: https://doaj.org/article/87a6908c1991464f8c104ef7ffc724a9