Evidence map›Paper›PMID 33205084›Full record

ArticlePatterns (New York, N.Y.)2020

Identifying Data Sharing and Reuse with Scholix: Potentials and Limitations.

Nushrat Khan, Catherine J Pink, Mike Thelwall

Abstract read
In one paragraph

Article in Patterns (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Research information systems and knowledge graphs: a review.Frontiers in research metrics and analytics · 2026
    Review
  2. Establishing an early indicator for data sharing and reuse.Learned publishing : journal of the Association of Learned and Professional Society Publishers · 2024
    Article
  3. Article
  4. Sharing Practices for Datasets Related to Accessibility and Aging.ASSETS. Annual ACM Conference on Assistive Technologies · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nushrat KhanLibrary Research Data Service, University of Bath, Bath, Somerset BA2 7AY, UK.
Catherine J PinkLibrary Research Data Service, University of Bath, Bath, Somerset BA2 7AY, UK.
Mike ThelwallStatistical Cybermetrics Research Group, University of Wolverhampton, Wolverhampton WV1 1LY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Scholexplorer API, based on the Scholix (Scholarly Link eXchange) framework, aims to identify links between articles and supporting data. This quantitative case study demonstrates that the API vastly expanded the number of datasets previously known to be affiliated with University of Bath outputs, allowing improved monitoring of compliance with funder mandates by identifying peer-reviewed articles linked to at least one unique dataset. Availability of author names for research outputs increased from 2.4% to 89.2%, which enabled identification of ten articles reusing non-Bath-affiliated datasets published in external repositories in the first phase, giving valuable evidence of data reuse and impact for data producers. Of these, only three were formally cited in the references. Further enhancement of the Scholix schema and enrichment of Scholexplorer metadata using controlled vocabularies would be beneficial. The adoption of standardized data citations by journals will be critical to creating links in a more systematic manner.

Indexed as

data publicationdata repositorydata reusedata sharingresearch dataresearch data managementresearch impactscholarly communicationScholexplorerScholix

Identifiers

PMID33205084
PMCPMC7660440

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.