A grassroots approach to peer support by the Danish Reproducibility Network.

Community building Grassroots initiatives Open research Peer support Reproducibility network Reproducible research

Journal

BMC research notes
ISSN: 1756-0500
Titre abrégé: BMC Res Notes
Pays: England
ID NLM: 101462768

Informations de publication

Date de publication:
10 Sep 2024
Historique:
received: 31 05 2024
accepted: 23 08 2024
medline: 11 9 2024
pubmed: 11 9 2024
entrez: 10 9 2024
Statut: epublish

Résumé

The Danish Reproducibility Network (DKRN) is a grassroots initiative for establishing a peer-supportive reproducibility-focused academic network in Denmark. We modelled our approach on already existing national Reproducibility Networks. We consulted with researchers and research support professionals to identify the needs of the research community. Three themes emerged around policy implementation, training and the appropriate application of reproducible practices. The network aims to address these three themes in a strategic plan, which harnesses the benefits of grassroots initiatives. The mission of the DKRN is therefore to facilitate communication, peer-support, and the exchange of ideas through a network of topic and geographical nodes. The network is open to researchers and research support professionals from all career stages and disciplines. It aligns with broader international initiatives, and national institutions, positioning itself as a contributor to the Danish research ecosystem.

Identifiants

pubmed: 39256756
doi: 10.1186/s13104-024-06912-7
pii: 10.1186/s13104-024-06912-7
doi:

Types de publication

Journal Article Letter

Langues

eng

Sous-ensembles de citation

IM

Pagination

256

Subventions

Organisme : Carlsbergfondet
ID : CF23-0234

Informations de copyright

© 2024. The Author(s).

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Auteurs

Marta Topor (M)

Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden. marta.topor@liu.se.
Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark. marta.topor@liu.se.

Philippe Bonnet (P)

Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.

Veronika Cheplygina (V)

Department of Computer Science, IT University of Copenhagen, Copenhagen, Denmark.

Vibeke Høyrup Dam (VH)

Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.

Lorna Wildgaard (L)

Royal Library, Copenhagen University Library, Copenhagen, Denmark.

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