Results 1 to 10 of about 3,690,597 (318)

Introducing the FAIR Principles for research software [PDF]

Scientific Data, 2022
Research software is a fundamental and vital part of research, yet significant challenges to discoverability, productivity, quality, reproducibility, and sustainability exist.
Michelle Barker, Neil P. Chue Hong, Daniel S. Katz, Anna-Lena Lamprecht, Carlos Martinez-Ortiz, Fotis Psomopoulos, Jennifer Harrow, Leyla Jael Castro, Morane Gruenpeter, Paula Andrea Martinez, Tom Honeyman   +10 more
doaj   +4 more sources

Applying the FAIR Principles to computational workflows [PDF]

Scientific Data
Recent trends within computational and data sciences show an increasing recognition and adoption of computational workflows as tools for productivity and reproducibility that also democratize access to platforms and processing know-how.
Sean R. Wilkinson, Meznah Aloqalaa, Khalid Belhajjame, Michael R. Crusoe, Bruno de Paula Kinoshita, Luiz Gadelha, Daniel Garijo, Ove Johan Ragnar Gustafsson, Nick Juty, Sehrish Kanwal, Farah Zaib Khan, Johannes Köster, Karsten Peters-von Gehlen, Line Pouchard, Randy K. Rannow, Stian Soiland-Reyes, Nicola Soranzo, Shoaib Sufi, Ziheng Sun, Baiba Vilne, Merridee A. Wouters, Denis Yuen, Carole Goble   +22 more
doaj   +8 more sources

FAIR Principles: Interpretations and Implementation Considerations [PDF]

Data Intelligence, 2020
The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 FAIR guiding principles do not dictate specific technological implementations, but provide guidance ...
Annika Jacobsen, Dominique Batista, Ronald Cornet   +2 more
exaly   +12 more sources

"Be sustainable": EOSC-Life recommendations for implementation of FAIR principles in life science data handling. [PDF]

EMBO J, 2023
The main goals and challenges for the life science communities in the Open Science framework are to increase reuse and sustainability of data resources, software tools, and workflows, especially in large‐scale data‐driven research and computational ...
David R, Rybina A, Burel JM, Heriche JK, Audergon P, Boiten JW, Coppens F, Crockett S, Exter K, Fahrner S, Fratelli M, Goble C, Gormanns P, Grantner T, Grüning B, Gurwitz KT, Hancock JM, Harmse H, Holub P, Juty N, Karnbach G, Karoune E, Keppler A, Klemeier J, Lancelotti C, Legras JL, Lister AL, Longo DL, Ludwig R, Madon B, Massimi M, Matser V, Matteoni R, Mayrhofer MT, Ohmann C, Panagiotopoulou M, Parkinson H, Perseil I, Pfander C, Pieruschka R, Raess M, Rauber A, Richard AS, Romano P, Rosato A, Sánchez-Pla A, Sansone SA, Sarkans U, Serrano-Solano B, Tang J, Tanoli Z, Tedds J, Wagener H, Weise M, Westerhoff HV, Wittner R, Ewbank J, Blomberg N, Gribbon P.   +58 more
europepmc   +2 more sources

FAIR principles to improve the impact on health research management outcomes. [PDF]

Heliyon, 2023
Background The FAIR principles, under the open science paradigm, aim to improve the Findability, Accessibility, Interoperability and Reusability of digital data.
Martínez-García A, Alvarez-Romero C, Román-Villarán E, Bernabeu-Wittel M, Luis Parra-Calderón C.   +4 more
europepmc   +2 more sources

A review of the machine learning datasets in mammography, their adherence to the FAIR principles and the outlook for the future. [PDF]

Sci Data, 2023
The increasing rates of breast cancer, particularly in emerging economies, have led to interest in scalable deep learning-based solutions that improve the accuracy and cost-effectiveness of mammographic screening.
Logan J, Kennedy PJ, Catchpoole D.
europepmc   +2 more sources

Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository. [PDF]

Sci Data, 2022
The Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC) has adopted the FAIR Guiding Principles. We present the Atlas chapter of Working Group I (WGI) as a test case. We describe the application of the FAIR principles in
Iturbide M, Fernández J, Gutiérrez JM, Pirani A, Huard D, Al Khourdajie A, Baño-Medina J, Bedia J, Casanueva A, Cimadevilla E, Cofiño AS, De Felice M, Diez-Sierra J, García-Díez M, Goldie J, Herrera DA, Herrera S, Manzanas R, Milovac J, Radhakrishnan A, San-Martín D, Spinuso A, Thyng KM, Trenham C, Yelekçi Ö.   +24 more
europepmc   +3 more sources

Operationalizing the CARE and FAIR Principles for Indigenous data futures. [PDF]

Sci Data, 2021
As big data, open data, and open science advance to increase access to complex and large datasets for innovation, discovery, and decision-making, Indigenous Peoples’ rights to control and access their data within these data environments remain limited ...
Carroll SR, Herczog E, Hudson M, Russell K, Stall S.   +4 more
europepmc   +2 more sources

Are the FAIR Data Principles fair?

International Journal of Digital Curation, 1970
This practice paper describes an ongoing research project to test the effectiveness and relevance of the FAIR Data Principles. Simultaneously, it will analyse how easy it is for data archives to adhere to the principles.
Alastair Dunning, Madeleine de Smaele, Jasmin Böhmer   +2 more
doaj   +5 more sources

Reproducibility and FAIR principles: the case of a segment polarity network model. [PDF]

Front Cell Dev Biol, 2023
The issue of reproducibility of computational models and the related FAIR principles (findable, accessible, interoperable, and reusable) are examined in a specific test case.
Mendes P.
europepmc   +3 more sources