From Conceptualization to Implementation: FAIR Assessment of Research Data Objects

Autor: Anusuriya Devaraju, Mustapha Mokrane, Linas Cepinskas, Robert Huber, Patricia Herterich, Jerry de Vries, Vesa Akerman, Hervé L’Hours, Joy Davidson, Michael Diepenbroek

Publikováno v: Data Science Journal, Vol 20, Iss 1 (2021)

Funders and policy makers have strongly recommended the uptake of the FAIR principles in scientific data management. Several initiatives are working on the implementation of the principles and standardized applications to systematically evaluate data

Externí odkaz: https://doaj.org/article/e7fd7e151406434c8810b82d51e33d27

FAIRsFAIR Project Comments on Data Repository Selection- Criteria That Matter

Autor: Hervé L'Hours, Ilona von Stein, Mustapha Mokrane, Joy Davidson, Robert Ulrich

Criteria, characteristics and requirements related to data objects and data services, including repositories, are at the heart of the FAIRsFAIR project. Weprovide an updated response to the authors' draft text. 

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::480d82a7e5b4154cad2e8cfe9b77e153

M4.9 Report on Fair Data Assessment Mechanisms to Develop Pragmatic Concepts for Fairness Evaluation at the Dataset Level

Autor: Anusuriya Devaraju, Mustapha Mokrane, Linas Cepinskas, Robert Huber, Patricia Herterich, Jerry de Vries, Vesa Akerman, Joy Davidson, Hervé L'Hour, Michael Diepenbroek

This report is a milestone of the FAIRsFAIR project. Itincludes two main results on FAIR assessment at the dataset level: The FAIRsFAIR Data Object Assessment Metrics (v0.3) specification contains 15 metrics proposed by FAIRsFAIR to evaluate the FAIR

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01ce606e554305db8dfbb4b0b35295b7
https://hdl.handle.net/20.500.11755/b87e1698-f66c-4890-bb89-4d1e5953ea37

CoreTrustSeal plus FAIR Overview

Autor: Hervé L'Hours, Ilona von Stein, Frans Huigen, Anusuriya Devaraju, Mustapha Mokrane, Joy Davidson, Jerry de Vries, Patricia Herterich, Linas Cepinskas, Robert Huber

This document represents the third alignment of CoreTrustSeal to FAIR requirements to inform repositories seeking to enable FAIR data. Feedback is welcomed either directly to the authors or on the Google Doc. Further context is presented in the FAIRs

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bd291807f880178066adeace638401d

Scientific Data

Autor: Vivek Navale, Dina V. Sokolova, Robert R. Downs, Rorie Edmunds, Jonathan Crabtree, Ingrid Dillo, Reyna Jenkyns, Hervé L'Hours, Martina Stockhause, Barbara Sierman, Varsha K. Khodiyar, Wim Hugo, Mustapha Mokrane, Dawei Lin, Maryann E. Martone, Jonathan L. Petters, John D. Westbrook, Marisa Raquel De Giusti, David Giaretta

Publikováno v: Scientific data, vol 7, iss 1
Scientific Data, Vol 7, Iss 1, Pp 1-5 (2020)
CIC Digital (CICBA)
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
Scientific data, 7:144, 1-5. Nature Publishing Group
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
Scientific Data

As information and communication technology has become pervasive in our society, we are increasingly dependent on both digital data and repositories that provide access to and enable the use of such resources. Repositories must earn the trust of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2df435a0596243c6c6f0a7f3a77c5ce
http://sedici.unlp.edu.ar/handle/10915/96052