Results 11 to 20 of about 3,690,597 (318)

FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy. [PDF]

Sci Data, 2022
A concise and measurable set of FAIR (Findable, Accessible, Interoperable and Reusable) principles for scientific data is transforming the state-of-practice for data management and stewardship, supporting and enabling discovery and innovation.
Ravi N, Chaturvedi P, Huerta EA, Liu Z, Chard R, Scourtas A, Schmidt KJ, Chard K, Blaiszik B, Foster I.   +9 more
europepmc   +3 more sources

Difficulties of FAIR Principles Implementation in Cross-Domain Research Infrastructures [PDF]

Lobachevskii Journal of Mathematics, 2023
Continuously increasing complexity of scientific research lead to the growing need for close integration of heterogeneous scientific communities. Such integration can be provided by the development of cross-domain research data infrastructures.
Kalinin N, Skvortsov N.
europepmc   +2 more sources

Dental Research Data Availability and Quality According to the FAIR Principles. [PDF]

J Dent Res, 2022
According to the FAIR principles, data produced by scientific research should be findable, accessible, interoperable, and reusable—for instance, to be used in machine learning algorithms.
Uribe SE, Sofi-Mahmudi A, Raittio E, Maldupa I, Vilne B.   +4 more
europepmc   +2 more sources

Applying the FAIR principles to data in a hospital: challenges and opportunities in a pandemic. [PDF]

J Biomed Semantics, 2022
The COVID-19 pandemic has challenged healthcare systems and research worldwide. Data is collected all over the world and needs to be integrated and made available to other researchers quickly.
Queralt-Rosinach N, Kaliyaperumal R, Bernabé CH, Long Q, Joosten SA, van der Wijk HJ, Flikkenschild ELA, Burger K, Jacobsen A, Mons B, Roos M, BEAT-COVID Group, COVID-19 LUMC Group.   +12 more
europepmc   +2 more sources

The need to implement FAIR principles in biomolecular simulations. [PDF]

Nat Methods
In the Big Data era, a change of paradigm in the use of molecular dynamics is required. Trajectories should be stored under FAIR (findable, accessible, interoperable and reusable) requirements to favor its reuse by the community under an open science ...
Amaro RE, Åqvist J, Bahar I, Battistini F, Bellaiche A, Beltran D, Biggin PC, Bonomi M, Bowman GR, Bryce RA, Bussi G, Carloni P, Case DA, Cavalli A, Chang CA, Cheatham TE, Cheung MS, Chipot C, Chong LT, Choudhary P, Cisneros GA, Clementi C, Collepardo-Guevara R, Coveney P, Covino R, Crawford TD, Dal Peraro M, de Groot BL, Delemotte L, De Vivo M, Essex JW, Fraternali F, Gao J, Gelpí JL, Gervasio FL, González-Nilo FD, Grubmüller H, Guenza MG, Guzman HV, Harris S, Head-Gordon T, Hernandez R, Hospital A, Huang N, Huang X, Hummer G, Iglesias-Fernández J, Jensen JH, Jha S, Jiao W, Jorgensen WL, Kamerlin SCL, Khalid S, Laughton C, Levitt M, Limongelli V, Lindahl E, Lindorff-Larsen K, Loverde S, Lundborg M, Luo YL, Luque FJ, Lynch CI, MacKerell AD, Magistrato A, Marrink SJ, Martin H, McCammon JA, Merz K, Moliner V, Mulholland AJ, Murad S, Naganathan AN, Nangia S, Noe F, Noy A, Oláh J, O'Mara ML, Ondrechen MJ, Onuchic JN, Onufriev A, Osuna S, Palermo G, Panchenko AR, Pantano S, Parish C, Parrinello M, Perez A, Perez-Acle T, Perilla JR, Pettitt BM, Pietropaolo A, Piquemal JP, Poma AB, Praprotnik M, Ramos MJ, Ren P, Reuter N, Roitberg A, Rosta E, Rovira C, Roux B, Rothlisberger U, Sanbonmatsu KY, Schlick T, Shaytan AK, Simmerling C, Smith JC, Sugita Y, Świderek K, Taiji M, Tao P, Tieleman DP, Tikhonova IG, Tirado-Rives J, Tuñón I, van der Kamp MW, van der Spoel D, Velankar S, Voth GA, Wade R, Warshel A, Welborn VV, Wetmore SD, Wheeler TJ, Wong CF, Yang LW, Zacharias M, Orozco M.   +128 more
europepmc   +2 more sources

GlycoPOST realizes FAIR principles for glycomics mass spectrometry data. [PDF]

Nucleic Acids Res, 2021
For the reproducibility and sustainability of scientific research, FAIRness (Findable, Accessible, Interoperable and Re-usable), with respect to the release of raw data obtained by researchers, is one of the most important principles underpinning the ...
Watanabe Y, Aoki-Kinoshita KF, Ishihama Y, Okuda S.   +3 more
europepmc   +2 more sources

MDA Framework for FAIR Principles [PDF]

International Conference on Informatics, Management and Technology in Healthcare, 2022
This paper shows that the MDA framework can be helpful for designing and implementing FAIR principles. We reached this conclusion based on a focus group interview with six experts, during which we focused on the three MDA components: mechanics, dynamics ...
Z. Mohammadzadeh, H. R. Saeidnia, Marcin Kozak, Ali Ghorbi   +3 more
semanticscholar   +3 more sources

Suggestions for extending the FAIR Principles based on a linguistic perspective on semantic interoperability. [PDF]

Sci Data
FAIR (meta)data presuppose their successful communication between machines and humans while preserving meaning and reference. The FAIR Guiding Principles lack specificity regarding semantic interoperability.
Vogt L, Strömert P, Matentzoglu N, Karam N, Konrad M, Prinz M, Baum R.   +6 more
europepmc   +2 more sources

The FAIR Guiding Principles for scientific data management and stewardship [PDF]

Scientific Data, 2016
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a ...
Mark D. Wilkinson, M. Dumontier, I. J. Aalbersberg, Gabrielle Appleton, M. Axton, A. Baak, N. Blomberg, J. Boiten, Luiz Olavo Bonino da Silva Santos, P. Bourne, J. Bouwman, A. Brookes, Tim Clark, M. Crosas, I. Dillo, Olivier Dumon, S. Edmunds, C. Evelo, R. Finkers, Alejandra N. González-Beltrán, A. Gray, Paul Groth, C. Goble, J. Grethe, J. Heringa, P. ’. ’t Hoen, R. Hooft, T. Kuhn, Ruben G. Kok, J. Kok, S. Lusher, M. Martone, Albert Mons, A. Packer, Bengt Persson, P. Rocca-Serra, M. Roos, Rene C. van Schaik, S. Sansone, E. Schultes, T. Sengstag, Ted Slater, George O. Strawn, M. Swertz, Mark Thompson, J. van der Lei, E. V. van Mulligen, Jan Velterop, A. Waagmeester, P. Wittenburg, K. Wolstencroft, Jun Zhao, B. Mons   +52 more
semanticscholar   +3 more sources

Implementing Findable, Accessible, Interoperable, Reusable (FAIR) Principles in Child and Adolescent Mental Health Research: Mixed Methods Approach.

JMIR Ment Health
Background The FAIR (Findable, Accessible, Interoperable, Reusable) data principles are a guideline to improve the reusability of data. However, properly implementing these principles is challenging due to a wide range of barriers.
de Groot R, van der Graaff F, van der Doelen D, Luijten M, De Meyer R, Alrouh H, van Oers H, Tieskens J, Zijlmans J, Bartels M, Popma A, de Keizer N, Cornet R, Polderman TJC.   +13 more
europepmc   +2 more sources