Literature DB >> 33501381

Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group.

Claire C Austin1, Alexander Bernier2, Louise Bezuidenhout3, Juan Bicarregui4, Timea Biro5, Anne Cambon-Thomsen6, Stephanie Russo Carroll7, Zoe Cournia8, Piotr Wojciech Dabrowski9, Gayo Diallo10, Thomas Duflot11, Leyla Garcia12, Sandra Gesing13, Alejandra Gonzalez-Beltran4, Anupama Gururaj14, Natalie Harrower5, Dawei Lin14, Claudia Medeiros15, Eva Méndez16, Natalie Meyers17, Daniel Mietchen18, Rajini Nagrani19, Gustav Nilsonne20, Simon Parker21, Brian Pickering22, Amy Pienta23, Panayiota Polydoratou24, Fotis Psomopoulos25, Stephanie Rennes26, Robyn Rowe27, Susanna-Assunta Sansone28, Hugh Shanahan29, Lina Sitz30, Joanne Stocks31, Marcos Roberto Tovani-Palone32,33, Mary Uhlmansiek34.   

Abstract

The systemic challenges of the COVID-19 pandemic require cross-disciplinary collaboration in a global and timely fashion. Such collaboration needs open research practices and the sharing of research outputs, such as data and code, thereby facilitating research and research reproducibility and timely collaboration beyond borders. The Research Data Alliance COVID-19 Working Group recently published a set of recommendations and guidelines on data sharing and related best practices for COVID-19 research. These guidelines include recommendations for clinicians, researchers, policy- and decision-makers, funders, publishers, public health experts, disaster preparedness and response experts, infrastructure providers from the perspective of different domains (Clinical Medicine, Omics, Epidemiology, Social Sciences, Community Participation, Indigenous Peoples, Research Software, Legal and Ethical Considerations), and other potential users. These guidelines include recommendations for researchers, policymakers, funders, publishers and infrastructure providers from the perspective of different domains (Clinical Medicine, Omics, Epidemiology, Social Sciences, Community Participation, Indigenous Peoples, Research Software, Legal and Ethical Considerations). Several overarching themes have emerged from this document such as the need to balance the creation of data adherent to FAIR principles (findable, accessible, interoperable and reusable), with the need for quick data release; the use of trustworthy research data repositories; the use of well-annotated data with meaningful metadata; and practices of documenting methods and software. The resulting document marks an unprecedented cross-disciplinary, cross-sectoral, and cross-jurisdictional effort authored by over 160 experts from around the globe. This letter summarises key points of the Recommendations and Guidelines, highlights the relevant findings, shines a spotlight on the process, and suggests how these developments can be leveraged by the wider scientific community. Copyright:
© 2021 Austin CC et al.

Entities:  

Keywords:  COVID-19; Clinical Research; Epidemiology; FAIR and CARE principles; Omics; Open science; Sharing research outputs in pandemics caused by infectious diseases; Social Science

Year:  2021        PMID: 33501381      PMCID: PMC7808050.2          DOI: 10.12688/wellcomeopenres.16378.2

Source DB:  PubMed          Journal:  Wellcome Open Res        ISSN: 2398-502X


  11 in total

1.  Good enough practices in scientific computing.

Authors:  Greg Wilson; Jennifer Bryan; Karen Cranston; Justin Kitzes; Lex Nederbragt; Tracy K Teal
Journal:  PLoS Comput Biol       Date:  2017-06-22       Impact factor: 4.475

2.  Four simple recommendations to encourage best practices in research software.

Authors:  Rafael C Jiménez; Mateusz Kuzak; Monther Alhamdoosh; Michelle Barker; Bérénice Batut; Mikael Borg; Salvador Capella-Gutierrez; Neil Chue Hong; Martin Cook; Manuel Corpas; Madison Flannery; Leyla Garcia; Josep Ll Gelpí; Simon Gladman; Carole Goble; Montserrat González Ferreiro; Alejandra Gonzalez-Beltran; Philippa C Griffin; Björn Grüning; Jonas Hagberg; Petr Holub; Rob Hooft; Jon Ison; Daniel S Katz; Brane Leskošek; Federico López Gómez; Luis J Oliveira; David Mellor; Rowland Mosbergen; Nicola Mulder; Yasset Perez-Riverol; Robert Pergl; Horst Pichler; Bernard Pope; Ferran Sanz; Maria V Schneider; Victoria Stodden; Radosław Suchecki; Radka Svobodová Vařeková; Harry-Anton Talvik; Ilian Todorov; Andrew Treloar; Sonika Tyagi; Maarten van Gompel; Daniel Vaughan; Allegra Via; Xiaochuan Wang; Nathan S Watson-Haigh; Steve Crouch
Journal:  F1000Res       Date:  2017-06-13

3.  Learning from a retraction.

Authors: 
Journal:  Lancet       Date:  2020-09-17       Impact factor: 79.321

4.  An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action.

Authors:  Hartwig Anzt; Felix Bach; Stephan Druskat; Frank Löffler; Axel Loewe; Bernhard Y Renard; Gunnar Seemann; Alexander Struck; Elke Achhammer; Piush Aggarwal; Franziska Appel; Michael Bader; Lutz Brusch; Christian Busse; Gerasimos Chourdakis; Piotr Wojciech Dabrowski; Peter Ebert; Bernd Flemisch; Sven Friedl; Bernadette Fritzsch; Maximilian D Funk; Volker Gast; Florian Goth; Jean-Noël Grad; Jan Hegewald; Sibylle Hermann; Florian Hohmann; Stephan Janosch; Dominik Kutra; Jan Linxweiler; Thilo Muth; Wolfgang Peters-Kottig; Fabian Rack; Fabian H C Raters; Stephan Rave; Guido Reina; Malte Reißig; Timo Ropinski; Joerg Schaarschmidt; Heidi Seibold; Jan P Thiele; Benjamin Uekermann; Stefan Unger; Rudolf Weeber
Journal:  F1000Res       Date:  2020-04-27

5.  International transfers of personal data for health research following Schrems II: a problem in need of a solution.

Authors:  Dara Hallinan; Alexander Bernier; Anne Cambon-Thomsen; Francis P Crawley; Diana Dimitrova; Claudia Bauzer Medeiros; Gustav Nilsonne; Simon Parker; Brian Pickering; Stéphanie Rennes
Journal:  Eur J Hum Genet       Date:  2021-05-06       Impact factor: 4.246

6.  Indigenous Peoples' Data During COVID-19: From External to Internal.

Authors:  Stephanie Russo Carroll; Randall Akee; Pyrou Chung; Donna Cormack; Tahu Kukutai; Raymond Lovett; Michele Suina; Robyn K Rowe
Journal:  Front Sociol       Date:  2021-03-29

7.  The FAIR Guiding Principles for scientific data management and stewardship.

Authors:  Mark D Wilkinson; Michel Dumontier; I Jsbrand Jan Aalbersberg; Gabrielle Appleton; Myles Axton; Arie Baak; Niklas Blomberg; Jan-Willem Boiten; Luiz Bonino da Silva Santos; Philip E Bourne; Jildau Bouwman; Anthony J Brookes; Tim Clark; Mercè Crosas; Ingrid Dillo; Olivier Dumon; Scott 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 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 Schultes; Thierry Sengstag; Ted Slater; George Strawn; Morris A Swertz; Mark Thompson; Johan van der Lei; Erik van Mulligen; Jan Velterop; Andra Waagmeester; Peter Wittenburg; Katherine Wolstencroft; Jun Zhao; Barend Mons
Journal:  Sci Data       Date:  2016-03-15       Impact factor: 6.444

Review 8.  The socio-economic implications of the coronavirus pandemic (COVID-19): A review.

Authors:  Maria Nicola; Zaid Alsafi; Catrin Sohrabi; Ahmed Kerwan; Ahmed Al-Jabir; Christos Iosifidis; Maliha Agha; Riaz Agha
Journal:  Int J Surg       Date:  2020-04-17       Impact factor: 6.071

9.  COVID-19 and mental health: A review of the existing literature.

Authors:  Ravi Philip Rajkumar
Journal:  Asian J Psychiatr       Date:  2020-04-10

10.  American Indian Reservations and COVID-19: Correlates of Early Infection Rates in the Pandemic.

Authors:  Desi Rodriguez-Lonebear; Nicolás E Barceló; Randall Akee; Stephanie Russo Carroll
Journal:  J Public Health Manag Pract       Date:  2020 Jul/Aug
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.