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Introduction to the FAIR data principles

2023
Scientific data are the key outcome of research activities at universities, research institutes, and industrial R&D centers. With the recent surge in research data production driven by high-throughput techniques, and the digitalization of scientific methods, data management has become more critical than ever.
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The FAIR Principles and Research Data Management

2023
The FAIR principles (Findable, Accessible, Interoperable, Reusable) are guiding principles that aim to encourage data stewards to improve the ways in which research data can be found and reused by computational systems in today’s growing, complex data ecosystem.
Minglu Wang, Dany Savard
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The Fairness Principle in Personal Data Processing

SSRN Electronic Journal, 2019
The principle of fairness in processing personal data, kept from the previous regulation, is liable to gain new meanings following the burden placed on the operator to prove its observance. The study aims at outlining the meaning and content of the principle of equity and its role in dispute resolution as well as in the practical workings of the ...
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FAIR Data Principles

2021
Abdullah Alowairdhi, Xiaogang Ma
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FAIR Data: FAIR Principles, AI and Digital Research Infrastructure

FAIR Data: FAIR Principles, AI and Digital Research Infrastructure,  Keynote at 2nd meeting AIBio Annual General ...
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Open Data and FAIR principles

Presentation for NASA TOPS Nebula cohort about Open data and FAIR ...
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Applying FAIR Data Principles in Corpus Linguistics

This presentation was held at the Corpus Linguistics 2025 pre-conference workshop session in Birmingham (UK). The workshop aimed to show early-career researchers how to incorporate the FAIR and CARE principles into their corpus linguistics research projects.
Pedonese, Giulia   +3 more
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FAIR principles for data and beyond

2021
Castro, Leyla Jael   +2 more
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Applying FAIR Principles to Enhance Data Stewardship

Presented at GRC-IB (2025) in Gatersleben. https://meetings.ipk-gatersleben.de/grc-ib2025/
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