Open Science Training in TRIPLE

List of Authors

  1. Lottie Provost ,  
  2. Francesca Di Donato ,  
  3. Erzsébet Tóth-Czifra
    ,  
  4. Suzanne Dumouchel ,  
  5. Emilie Blotière
    ,  
  6. Yin Chen
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Abstract

This case study focuses on the online training activities on Open Science delivered within the H2020 project Transforming Research through Innovative Practices for Linked Interdisciplinary Exploration (TRIPLE, Grant Agreement 863420). The project is dedicated to building a discovery platform for the Social Sciences and Humanities (SSH) and is committed to promoting and supporting the uptake of Open Science within research practices.

In order to address SSH research and training communities’ needs for enhanced competencies on Open Science and for stronger support in the Findable, Accessible, Interoperable, Reusable (FAIR) management of digital training materials, two reusable outputs were produced. The work carried out is presented as a novel approach to tackle the issues related to FAIRifying research and training practices and to create training resources whose reusability and relevance reaches beyond the project lifetime and framework. The case study presents the methods by which the results were produced so as to encourage and enable their future adaptation and reuse.

The TRIPLE Open Science training series (result 1) targets SSH researchers, research support personnel and infrastructure developers in need of practical tools and specific skills to integrate Open Science practices in their workflows. The training series provides 12 competence-oriented online training events in Open Access whose training materials are available as Open Educational Resources (OER).

The TRIPLE Training Toolkit (result 2) targets training organisers and research performing organisations who wish to design and manage training events as OERs and increase the impact of their training following good practice. The Toolkit is an easily reproducible workflow designed to help trainers minimise the time they spend in managing training events following FAIR practice. The workflow follows a FAIR-by-design method to address the frequent findability and reusability issues related to the management of digital training resources.

Corresponding author
Lottie Provost
0000-0001-5279-797X
Grant information

This research was financially supported by the European Union’s Horizon 2020 research and innovation programme under the grant agreement No 863420 (Transforming Research through Innovative Practices for Linked interdisciplinary Exploration [TRIPLE]). The content of this publication is the sole responsibility of the TRIPLE consortium and can in no way be taken to reflect the views of the European Commission. The European Commission is not responsible for any use that may be made of the information it contains.

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Copyright
© 2023 Lottie Provost (Corresponding Author, Co-Author); Francesca Di Donato (Co-Author); Erzsébet Tóth-Czifra (Co-Author); Suzanne Dumouchel (Co-Author); Emilie Blotière (Co-Author); Yin Chen (Co-Author) Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Amendment

The new version has been updated taking into account the reviewers’ comments. It has been made explicit that beginners in open science training and support staff in research performing organisations will benefit from this case study in section 1.1 and in section 3. In section 2.2, details on the reasons for simplifying the FAIR principles applied to the management of training materials as presented in Table 3 have been added. A suggestion for improving accessibility through the use of HTML files has also been included in section 2.2.

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Authors & roles

Lottie Provost

Istituto di Linguistica Computazionale “A. Zampolli”, Consiglio Nazionale delle Ricerche (CNR), Pisa, 56124, Italy

Roles
Corresponding Author, Co-Author, Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Resources, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing
0000-0001-5279-797X

Francesca Di Donato

Istituto di Linguistica Computazionale “A. Zampolli”, Consiglio Nazionale delle Ricerche (CNR), Pisa, 56124, Italy

Roles
Co-Author, Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Resources, Supervision, Validation, Writing – Original Draft Preparation, Writing – Review & Editing
0000-0003-0144-8934

Erzsébet Tóth-Czifra

DARIAH Coordination Office Berlin c/o Centre Marc Bloch e.V., Berlin, 10117, Germany

Roles
Co-Author, Data Curation, Formal Analysis, Resources, Writing – Original Draft Preparation, Writing – Review & Editing

Suzanne Dumouchel

TGIR Huma-Num, CNRS, Aubervilliers, 93300, France

Roles
Co-Author, Formal Analysis, Project Administration, Writing – Original Draft Preparation, Writing – Review & Editing
0000-0002-3569-532X

Emilie Blotière

TGIR Huma-Num, CNRS, Aubervilliers, 93300, France

Roles
Co-Author, Formal Analysis, Project Administration, Writing – Original Draft Preparation, Writing – Review & Editing

Yin Chen

EGI Foundation, Amsterdam, 1098XG, The Netherlands

Roles
Co-Author, Formal Analysis, Methodology, Writing – Original Draft Preparation, Writing – Review & Editing

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