Process of recognition for contribution to lesson templates

The ELIXIR Training Platform's overarching objective is to establish a collaborative, visible,and standardised network of training resources. This milestone addresses the lack ofconsistent recognition for training material contributions, essential for communityengagement and resource sustainability. The primary objective was to establish a clear and sustainable process for recognisingcontributions to ELIXIR training lesson templates, specifically by exploring integration withAPICURON for automated attribution in collaboration with the data platform. During this period, we actively explored recognition frameworks through discussions withthe APICURON team, Data Platform Credit and Recognition WP, and Training Platform WP2members. During the BioHackathon2024 we engaged in project 25 around research softwarecredit practices and explored how lesson template contributions fit into this framework. This work established an ELIXIR Training Materials resource at APICURON, though directlesson template integration is not yet complete. We conclude that defining a comprehensivetraining profile for the crediting framework is complex and requires broad communityagreement.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-02
DOI
https://doi.org/10.5281/zenodo.17252776
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Process of recognition for contribution to lesson templates

Zenodo (CERN European Organization for Nuclear Research)
Genomics and Phylogenetic Studies
article

Process of recognition for contribution to lesson templates

article en

Abstract

The ELIXIR Training Platform's overarching objective is to establish a collaborative, visible,and standardised network of training resources. This milestone addresses the lack ofconsistent recognition for training material contributions, essential for communityengagement and resource sustainability. The primary objective was to establish a clear and sustainable process for recognisingcontributions to ELIXIR training lesson templates, specifically by exploring integration withAPICURON for automated attribution in collaboration with the data platform. During this period, we actively explored recognition frameworks through discussions withthe APICURON team, Data Platform Credit and Recognition WP, and Training Platform WP2members. During the BioHackathon2024 we engaged in project 25 around research softwarecredit practices and explored how lesson template contributions fit into this framework. This work established an ELIXIR Training Materials resource at APICURON, though directlesson template integration is not yet complete. We conclude that defining a comprehensivetraining profile for the crediting framework is complex and requires broad communityagreement.

Zenodo (CERN European Organization for Nuclear Research)
University of Bern (CH), SIB Swiss Institute of Bioinformatics (CH), University of Cambridge (GB), Volgograd Institute of Business (RU), National Bioinformatics Infrastructure Sweden
Openalex Percentile: Top 47%
Genomics and Phylogenetic Studies
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