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. Through a combination of theoretical principles, hands-on activities, and case studies, participants were introduced to the CLARIN research infrastructure and learned how to identify the requirements for a linguistic resource (e.g., corpora) to align with the FAIR and CARE principles and apply them in their research workflow. Additionally, the trainers discussed a case study and a roleplay on how to write a Data Management Plan (DMP) based on a research scenario and using the Argos DMP application. This tool, developed by OpenAIRE, enables scholars to create, save, and export their DMP in accordance with FAIR principles and Open Access best practices. By the end of the workshop, the participants learnt how to: Identify the requirements for a resource to align with the FAIR and CARE principles Find and use certified research data repositories for data collection, sharing and archiving Create the outline of a research data management plan and familiarise themselves with the Argos application Identify and use infrastructure tools for data processing and analysis For more details, see the syllabus at https://www.cl2025.co.uk/programme/workshops.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-29
DOI
https://doi.org/10.5281/zenodo.16407468
Primary Topic
Cancer and biochemical research
Type
article
Field-Weighted Citation Impact
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article

Applying FAIR Data Principles in Corpus Linguistics

Zenodo (CERN European Organization for Nuclear Research)
Cancer and biochemical research
article

Applying FAIR Data Principles in Corpus Linguistics

article en

Abstract

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. Through a combination of theoretical principles, hands-on activities, and case studies, participants were introduced to the CLARIN research infrastructure and learned how to identify the requirements for a linguistic resource (e.g., corpora) to align with the FAIR and CARE principles and apply them in their research workflow. Additionally, the trainers discussed a case study and a roleplay on how to write a Data Management Plan (DMP) based on a research scenario and using the Argos DMP application. This tool, developed by OpenAIRE, enables scholars to create, save, and export their DMP in accordance with FAIR principles and Open Access best practices. By the end of the workshop, the participants learnt how to: Identify the requirements for a resource to align with the FAIR and CARE principles Find and use certified research data repositories for data collection, sharing and archiving Create the outline of a research data management plan and familiarise themselves with the Argos application Identify and use infrastructure tools for data processing and analysis For more details, see the syllabus at https://www.cl2025.co.uk/programme/workshops.

Zenodo (CERN European Organization for Nuclear Research)
University of Oxford (GB), Division of Biological Infrastructure (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 57%
Cancer and biochemical research
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Applying FAIR Data Principles in Corpus Linguistics · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS