Beyond authorship: attribution, contribution, collaboration, and credit

@article{Brand2015BeyondAA,
  title={Beyond authorship: attribution, contribution, collaboration, and credit},
  author={Amy Brand and Liz Allen and Micah Altman and Marjorie M. K. Hlava and Jo Scott},
  journal={Learned Publishing},
  year={2015},
  volume={28}
}
As the number of authors on scientific publications increases, ordered lists of author names are proving inadequate for the purposes of attribution and credit. A multi‐stakeholder group has produced a contributor role taxonomy for use in scientific publications. Identifying specific contributions to published research will lead to appropriate credit, fewer author disputes, and fewer disincentives to collaboration and the sharing of data and code. 
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152 Citations
Highly Influential Citations
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25
Methods Citations
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152 Citations

Citation Type

Citation Type

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TLDR
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TLDR
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TLDR
The Contributor Attribution Model (CAM), which provides a simple data model that relates the contributor to research objects via the role that they played, as well as the provenance of the information, is introduced. Expand
Transparency in Authors’ Contributions and Responsibilities to Promote Integrity in Scientific Publication
TLDR
It is suggested that journals adopt common and transparent standards for authorship, outline responsibilities for corresponding authors, adopt the CRediT (Contributor Roles Taxonomy) methodology for attributing contributions, include this information in article metadata, and encourage authors to use the digital persistent identifier ORCID. Expand
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TLDR
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TLDR
This article reviews key concepts of authorship and contributorship and examines the range of non-author contributions that may (or may not) be acknowledged, and proposes two new CRediT taxa and revisions to three existing taxa regarding both technical and editorial support to make credit attribution more transparent, accurate and open. Expand
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