Evidence map›Paper›PMID 37645498›Full record

ArticleOpen research Europe2023

Open Science Training in TRIPLE.

Lottie Provost, Francesca Di Donato, Erzsébet Tóth-Czifra, Suzanne Dumouchel, Emilie Blotière, Yin Chen

Abstract readCase Reports
In one paragraph

Article in Open research Europe, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lottie ProvostIstituto di Linguistica Computazionale "A. Zampolli", Consiglio Nazionale delle Ricerche (CNR), Pisa, 56124, Italy.ORCID https://orcid.org/0000-0001-5279-797X
Francesca Di DonatoIstituto di Linguistica Computazionale "A. Zampolli", Consiglio Nazionale delle Ricerche (CNR), Pisa, 56124, Italy.ORCID https://orcid.org/0000-0003-0144-8934
Erzsébet Tóth-CzifraDARIAH Coordination Office Berlin c/o Centre Marc Bloch e.V., Berlin, 10117, Germany.
Suzanne DumouchelTGIR Huma-Num, CNRS, Aubervilliers, 93300, France.ORCID https://orcid.org/0000-0002-3569-532X
Emilie BlotièreTGIR Huma-Num, CNRS, Aubervilliers, 93300, France.
Yin ChenEGI Foundation, Amsterdam, 1098XG, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

EOSCFAIR dataOpen ScienceProject managementScholarly practiceTraining and education

Identifiers

PMID37645498
PMCPMC10445817

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.