Examples
Worked examples
- Is an instance
A university promotion case is built on a curated portfolio including a major dataset and an open-source software package.
- Is an instance
A funder explicitly invites methods papers and registered reports as evidence of research quality.
Counter-examples
Looks similar, but isn't
- Not an instance
A tenure committee discounts a heavily reused open-source library because it 'isn't a paper'.
- Not an instance
An assessment form lists only 'publications' with no fields for datasets, code or creative works.
Editorial commentary
Output diversification is a structural goal of responsible-assessment reform. It addresses the systemic devaluation of non-article outputs that disproportionately affects fields where books, performances, datasets or software predominate, and that disincentivises the production of foundational research infrastructure. CoARA Commitment 4, DORA Recommendation 5, and the Hong Kong Principle 4 all explicitly call for assessment of a broad range of outputs. Implementing diversification requires venue-agnostic evidence frameworks, persistent identifiers for diverse outputs (DOIs for data and software, RRIDs for resources), and reviewer training in non-article evaluation.
References
- CoARA Agreement, 2022. Pinfield S et al. 'Research outputs in the digital age' Learned Publishing, 2020.
Also known as
Diverse outputs recognition · Output type diversity
Machine-readable encodings
Use in your systems
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vocab-term="Output diversification"
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