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Ensuring Food Integrity by Metrology and FAIR Data Principles [PDF]
Food integrity is a general term for sound, nutritive, healthy, tasty, safe, authentic, traceable, as well as ethically, safely, environment-friendly, and sustainably produced foods.
Michael Rychlik +12 more
doaj +11 more sources
Are the FAIR Data Principles fair?
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 +2 more
doaj +5 more sources
Supporting FAIR Data Principles with Fedora
Making data findable, accessible, interoperable, and re-usable is an important but challenging goal. From an infrastructure perspective, repository technologies play a key role in supporting FAIR data principles.
David Wilcox
doaj +3 more sources
A dataset for assessing phytolith data for implementation of the FAIR data principles [PDF]
Phytolith research contributes to our understanding of plant-related studies such as plant use in archaeological contexts and past landscapes in palaeoecology.
Céline Kerfant +5 more
doaj +2 more sources
FAIR m-BIDS: Advancing brain data utilization through multimodal and FAIR principles [PDF]
In recent Datascience and AI studies, multimodality has become a key principle for achieving more accurate and dependable results. Managing multimodal data requires specialized platforms and structures to handle diverse data types from single subjects ...
Seyed Mohammad Mirhosseini +5 more
doaj +2 more sources
Harnessing the power of FAIR data to advance sex/gender insights in psychotraumatology [PDF]
Background: Sex and gender impact trauma exposure, as well as trauma-related outcomes and treatment efficacy. Still, knowledge about the extent of these sex/gender differences, as well as the distinct mechanisms that contribute towards these differences ...
Stephanie Haering, Mirjam Van Zuiden
doaj +2 more sources
Geoscience data publication: Practices and perspectives on enabling the FAIR guiding principles
Introduced in 2016, the FAIR Guiding Principles endeavour to significantly improve the process of today's data‐driven research. The Principles present a concise set of fundamental concepts that can facilitate the findability, accessibility ...
Danie Kinkade, Adam Shepherd
doaj +2 more sources
Cultivating FAIR principles for agri-food data
Data generated by the global food system is crucial in the transformation towards sustainable, resilient, and high-quality food production. Although the amount of potentially useful data is growing rapidly, its (re)use is still limited. The FAIR-principles have been developed for making data findable, accessible, interoperable, and reusable both by ...
Sander Janssen
exaly +2 more sources
Perspectives on the Implementation of FAIR Principles in Solid Earth Research Infrastructures
FAIR principles have become reference criteria for promoting and evaluating openness of scientific data and for improving datasets Findability, Accessibility, Interoperability, and Reusability.
Daniele Bailo +5 more
doaj +3 more sources
Ontological Representation of FAIR Principles: A Blueprint for FAIRer Data Sources
Guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of datasets, known as FAIR principles, were introduced in 2016 to enable machines to perform automatic actions on a variety of digital objects, including datasets. Since then, the principles have been widely adopted by data creators and users worldwide with the ‘FAIR ...
Anna Bernasconi +2 more
exaly +4 more sources

