[HTML][HTML] Implementation and relevance of FAIR data principles in biopharmaceutical R&D
J Wise, AG de Barron, A Splendiani, B Balali-Mood… - Drug discovery today, 2019 - Elsevier
Highlights•Biopharma R&D productivity can be improved by implementing the FAIR Data
Principles.•FAIR enables powerful new AI analytics to access data for machine learning and …
Principles.•FAIR enables powerful new AI analytics to access data for machine learning and …
Towards FAIR principles for research software
AL Lamprecht, L Garcia, M Kuzak, C Martinez… - Data …, 2020 - content.iospress.com
The FAIR Guiding Principles, published in 2016, aim to improve the findability, accessibility,
interoperability and reusability of digital research objects for both humans and machines …
interoperability and reusability of digital research objects for both humans and machines …
Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud
B Mons, C Neylon, J Velterop… - … services & use, 2017 - content.iospress.com
The FAIR Data Principles propose that all scholarly output should be Findable, Accessible,
Interoperable, and Reusable. As a set of guiding principles, expressing only the kinds of …
Interoperable, and Reusable. As a set of guiding principles, expressing only the kinds of …
Transparent to whom? No algorithmic accountability without a critical audience
Big data and data science transform organizational decision-making. We increasingly defer
decisions to algorithms because machines have earned a reputation of outperforming us. As …
decisions to algorithms because machines have earned a reputation of outperforming us. As …
Understanding the process of data reuse: An extensive review
X Wang, Q Duan, M Liang - Journal of the Association for …, 2021 - Wiley Online Library
Data reuse has recently become significant in academia and is providing new impetus for
academic research. This prompts two questions: What precisely is the data reuse process …
academic research. This prompts two questions: What precisely is the data reuse process …
A design framework and exemplar metrics for FAIRness
The FAIR Principles 1 (https://doi. org/10.25504/FAIRsharing. WWI10U) provide guidelines
for the publication of digital resources such as datasets, code, workflows, and research …
for the publication of digital resources such as datasets, code, workflows, and research …
iCn3D, a web-based 3D viewer for sharing 1D/2D/3D representations of biomolecular structures
J Wang, P Youkharibache, D Zhang… - …, 2020 - academic.oup.com
Motivation Build a web-based 3D molecular structure viewer focusing on interactive
structural analysis. Results iCn3D (I-see-in-3D) can simultaneously show 3D structure, 2D …
structural analysis. Results iCn3D (I-see-in-3D) can simultaneously show 3D structure, 2D …
From raw data to FAIR data: the FAIRification workflow for health research
Background FAIR (findability, accessibility, interoperability, and reusability) guiding
principles seek the reuse of data and other digital research input, output, and objects …
principles seek the reuse of data and other digital research input, output, and objects …
iCn3D: from web-based 3D viewer to structural analysis tool in batch mode
iCn3D was initially developed as a web-based 3D molecular viewer. It then evolved from
visualization into a full-featured interactive structural analysis software. It became a …
visualization into a full-featured interactive structural analysis software. It became a …
A study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis
The development of platforms for distributed analytics has been driven by a growing need to
comply with various governance-related or legal constraints. Among these platforms, the so …
comply with various governance-related or legal constraints. Among these platforms, the so …