An international consensus on effective, inclusive, and career-spanning short-format training in the life sciences and beyond.

Autor: Jason J Williams, Rochelle E Tractenberg, Bérénice Batut, Erin A Becker, Anne M Brown, Melissa L Burke, Ben Busby, Nisha K Cooch, Allissa A Dillman, Samuel S Donovan, Maria A Doyle, Celia W G van Gelder, Christina R Hall, Kate L Hertweck, Kari L Jordan, John R Jungck, Ainsley R Latour, Jessica M Lindvall, Marta Lloret-Llinares, Gary S McDowell, Rana Morris, Teresa Mourad, Amy Nisselle, Patricia Ordóñez, Lisanna Paladin, Patricia M Palagi, Mahadeo A Sukhai, Tracy K Teal, Louise Woodley

Publikováno v: PLoS ONE, Vol 18, Iss 11, p e0293879 (2023)

Science, technology, engineering, mathematics, and medicine (STEMM) fields change rapidly and are increasingly interdisciplinary. Commonly, STEMM practitioners use short-format training (SFT) such as workshops and short courses for upskilling and res

Externí odkaz: https://doaj.org/article/a49dcc0dd897416796530319e570b6c8

Ten simple rules for making training materials FAIR.

Autor: Leyla Garcia, Bérénice Batut, Melissa L Burke, Mateusz Kuzak, Fotis Psomopoulos, Ricardo Arcila, Teresa K Attwood, Niall Beard, Denise Carvalho-Silva, Alexandros C Dimopoulos, Victoria Dominguez Del Angel, Michel Dumontier, Kim T Gurwitz, Roland Krause, Peter McQuilton, Loredana Le Pera, Sarah L Morgan, Päivi Rauste, Allegra Via, Pascal Kahlem, Gabriella Rustici, Celia W G van Gelder, Patricia M Palagi

Publikováno v: PLoS Computational Biology, Vol 16, Iss 5, p e1007854 (2020)

Everything we do today is becoming more and more reliant on the use of computers. The field of biology is no exception; but most biologists receive little or no formal preparation for the increasingly computational aspects of their discipline. In con

Externí odkaz: https://doaj.org/article/076c5999d13d41318e459708c1a9096b

GOBLET: the Global Organisation for Bioinformatics Learning, Education and Training.

Autor: Teresa K Attwood, Erik Bongcam-Rudloff, Michelle E Brazas, Manuel Corpas, Pascale Gaudet, Fran Lewitter, Nicola Mulder, Patricia M Palagi, Maria Victoria Schneider, Celia W G van Gelder, GOBLET Consortium

Publikováno v: PLoS Computational Biology, Vol 11, Iss 4, p e1004143 (2015)

In recent years, high-throughput technologies have brought big data to the life sciences. The march of progress has been rapid, leaving in its wake a demand for courses in data analysis, data stewardship, computing fundamentals, etc., a need that uni

Externí odkaz: https://doaj.org/article/d6c4e1a65574444aa511b4380fb39c76

Dutch roadmap towards national implementation of FAIR data stewardship

Autor: Celia W G van Gelder, Mijke Jetten

This poster was presented at the ISMB2021 Conference (25-30July 2021). In the context of the Dutch National Programme Open Science, we have executed a project related to professionalising data stewardship, aiming to provide arguments and recommendati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61939d4a353692331cd880955c11e898

Making training materials FAIR in 10 steps

Autor: Melissa Burke1, Leyla Garcia, Bérénice Batut, Mateusz Kuzak, Fotis Psomopoulos, Ricardo Arcila, Teresa K. Attwood, Niall Beard, Denise Carvalho-Silva, Alexandros C. Dimopoulos, Victoria Dominguez del Angel, Michel Dumontier, Kim T. Gurwitz, Roland Krause, Peter McQuilton, Loredana Le Pera, Sarah L. Morgan, Päivi Rauste, Allegra Via, Pascal Kahlem, Gabriella Rustici, Celia W. G. van Gelder, Patricia M. Palagi2

Publikováno v: 28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020, 12-16/07/2020
info:cnr-pdr/source/autori:Melissa Burke1, Leyla Garcia, Bérénice Batut, Mateusz Kuzak, Fotis Psomopoulos, Ricardo Arcila, Teresa K. Attwood, Niall Beard, Denise Carvalho-Silva, Alexandros C. Dimopoulos, Victoria Dominguez del Angel, Michel Dumontier, Kim T. Gurwitz, Roland Krause, Peter McQuilton, Loredana Le Pera, Sarah L. Morgan, Päivi Rauste, Allegra Via, Pascal Kahlem, Gabriella Rustici, Celia W. G. van Gelder, Patricia M. Palagi2/congresso_nome:28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020/congresso_luogo:/congresso_data:12-16%2F07%2F2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine

Sharing, reusing and reproducing data, software and other digital objects forms the cornerstone of open science practices. Such practices are guided by the Findable, Accessible, Interoperable and Reusable (FAIR) principles. Implementing FAIR principl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::d156330cca5058193864d0d26e99e2de
https://publications.cnr.it/doc/427063