Citation: Daniel S. Katz, Arfon M. Smith (2015) Transitive Credit and JSON-LD. Journal of Open Research Software (RSS)
DOI (original publisher): 10.5334/jors.by
Semantic Scholar (metadata): 10.5334/jors.by
Sci-Hub (fulltext): 10.5334/jors.by
Internet Archive Scholar (search for fulltext): Transitive Credit and JSON-LD
Download: http://doi.org/10.5334/jors.by
Tagged: Computer Science (RSS) academia (RSS), computational science (RSS)

Summary

Science depends on output such as sharing data, developing software, and annotating data. Traditional academic-metrics do not incentivize this. See also Transitive Credit as a Means to Address Social and Technological Concerns Stemming from Citation and Attribution of Digital Products.

Transitive credit has three parts:

List all contributors/components: authors, all contributors, all publications, all data, and all software.
- This can be automated with tools such as {Mendeley, Zotero, CiteULike} for publications and GitHub for contributors.
- These attributions should be JSON-LD, which is machine readable.
- It should use vocabulary from Schema.org, DOAP, SPDX, ORCIDs, and DOIs.
  - Force11 Attribution Working Group could standardize vocabulary.
Assign weights to contributors/components (creditmap).
- Store in DOI metadata, VIVO,
Apply credit transitively.

This could even augment searching for papers, e.g. "find all astrophysics packages with this keyword that use Python".

One could try to build creditmaps with GitHub contributors.

Transitive Credit and JSON-LD