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Is authorship sufficient for today's collaborative research? A call for contributor roles
Nicole A Vasilevsky1, Mohammad Hosseini2, Samantha Teplitzky3
1Oregon Clinical & Translational Research Institute, Oregon Health & Science University , Portland, OR, USA.
Accountability in Research
|July 1, 2020
Summary
Scholarly authorship faces ethical, social, and technical challenges. A contributorship approach, using models like CRO and CAM, offers a solution for recognizing diverse research contributions.
Area of Science:
- Scholarly communication
- Research integrity
- Information science
Background:
- Traditional authorship models present multifaceted challenges, including ethical, social, and technical barriers to accurately recognizing all contributions to scholarly works.
- These challenges can hinder the equitable acknowledgment of diverse roles in research.
- Existing frameworks struggle to capture the full spectrum of scholarly input.
Purpose of the Study:
- To discuss the limitations of current authorship practices in scholarly works.
- To propose a shift towards a more inclusive contributorship model for recognizing research contributions.
- To introduce novel frameworks for structuring and attributing contributor roles.
Main Methods:
- Review of ethical, social, and technical challenges in scholarly authorship.
- Introduction of the Contributor Role Ontology (CRO) as an extension of the CRediT taxonomy.
- Presentation of the Contributor Attribution Model (CAM) for data modeling of contributions.
- Discussion of requirements for adopting a contributorship-based system.
Main Results:
- Identification of key challenges impeding the recognition of contributions under traditional authorship.
- Development of the Contributor Role Ontology (CRO) to enhance contribution structuring.
- Introduction of the Contributor Attribution Model (CAM) for detailed attribution and provenance.
- Outline of necessary steps for implementing a contributorship approach.
Conclusions:
- A contributorship approach, supported by ontologies and data models, can effectively address the limitations of traditional authorship.
- CRO and CAM provide practical tools for better recognition of diverse scholarly contributions.
- Adoption of these models requires careful consideration of implementation requirements to foster research integrity.
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