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Open AccessJournal ArticleDOI

FAIR principles : interpretations and implementation considerations

TLDR
The concept of FAIR implementation considerations is introduced to assist accelerated global participation and convergence towards accessible, robust, widespread and consistent FAIR implementations.
Abstract
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 for improving Findability, Accessibility, Interoperability and Reusability of digital resources. This has likely contributed to the broad adoption of the FAIR principles, because individual stakeholder communities can implement their own FAIR solutions. However, it has also resulted in inconsistent interpretations that carry the risk of leading to incompatible implementations. Thus, while the FAIR principles are formulated on a high level and may be interpreted and implemented in different ways, for true interoperability we need to support convergence in implementation choices that are widely accessible and (re)-usable. We introduce the concept of FAIR implementation considerations to assist accelerated global participation and convergence towards accessible, robust, widespread and consistent FAIR implementations. Any self-identified stakeholder community may either choose to reuse solutions from existing implementations, or when they spot a gap, accept the challenge to create the needed solution, which, ideally, can be used again by other communities in the future. Here, we provide interpretations and implementation considerations (choices and challenges) for each FAIR principle.

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Journal ArticleDOI

A Generic Workflow for the Data FAIRification Process

TL;DR: This paper describes a generic step-by-step FAIRification workflow to be performed in a multidisciplinary team guided by FAIR data stewards, and describes how the data are processed, what expertise is required, which procedures and tools can be used, and which FAIR principles they relate to.
Journal ArticleDOI

NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment

Antreas Afantitis, +54 more
TL;DR: In this article, the authors analyzed the available NM libraries for their suitability for integration with novel nanoinformatics approaches and for the development of NM specific Integrated Approaches to Testing and Assessment (IATA) for human and environmental risk assessment, all within the NanoSolveIT cloud-platform.
Posted ContentDOI

Outbreak.info Research Library: A standardized, searchable platform to discover and explore COVID-19 resources

TL;DR: This work developed outbreak.info Research Library, a standardized, searchable interface of COVID-19 and SARS-CoV-2 resources, which assembled a collection of over 270,000 publications, clinical trials, datasets, protocols, and other resources as of May 2022.
Journal ArticleDOI

Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data

TL;DR: This work demonstrates, using specific worked case studies, how to organise the nano-community efforts to define metadata schemas, by organising the data management cycle as a joint effort of all players ( data creators, analysts, curators, managers, and customers) supervised by the newly defined role of data shepherd.
References
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Journal ArticleDOI

The FAIR Guiding Principles for scientific data management and stewardship

TL;DR: The FAIR Data Principles as mentioned in this paper are a set of data reuse principles that focus on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.
Journal ArticleDOI

From core referencing to data re-use: two French national initiatives to reinforce paleodata stewardship (National Cyber Core Repository and LTER France Retro-Observatory)

TL;DR: ROZA was developed under the umbrella of LTER-France (Long Term Ecological Research) in order to facilitate the re-use of data and samples and will favor to use of paleodata by non-paleodata scientists, in particular ecologists.
Proceedings ArticleDOI

Wikidata: a new platform for collaborative data collection

TL;DR: This year, Wikimedia starts to build a new platform for the collaborative acquisition and maintenance of structured data: Wikidata, which will be a secondary database, i.e. instead of containing facts it will contain references for facts.
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The FAIR Guiding Principles for scientific data management and stewardship