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Making It Count: A Computational Approach To Attribution
Preprint   Open access

Making It Count: A Computational Approach To Attribution

Kristi Holmes, Karen Gutzman, Patricia Smith, David Eichmann and Melissa Haendel
Zenodo
07/16/2018
DOI: 10.5281/zenodo.1312651
url
https://doi.org/10.5281/zenodo.1312651View
Published (Version of record)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

People from a diverse array of backgrounds play important roles in research, often in ways that cannot be quantified through traditional metrics of scholarly impact. This demands better approaches to evaluate and ultimately communicate scholarly outcomes beyond the narrow criteria of publications and grants. It is imperative to develop a structure to track a much wider diversity of contributor roles and research objects - and do so in a manner that is easily populated with real data. This presentation will share details about the project, our team and approach, upcoming opportunities to collaborate, metrics for success, and integration and application of this work to date.
Credit data model research objects contributor roles attribution

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