Evidence map›Paper›PMID 35271630›Full record

ArticlePloS one2022

How research data deliver non-academic impacts: A secondary analysis of UK Research Excellence Framework impact case studies.

Eric A Jensen, Paul Wong, Mark S Reed

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 21 citations in OpenAlex.

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  6. Enhancing Impact: A Call to Action for Equitable Implementation Science.Prevention science : the official journal of the Society for Prevention Research · 2024
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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 at 3 institutions in 2 countries.

Eric A JensenInstitute for Methods Innovation, Trinity Technology & Enterprise Campus, Unit 23, Dublin, Ireland.
Paul WongSchool of Cybernetics, College of Engineering and Computer Science, Australian National University, Acton, ACT, Australia.ORCID 0000-0001-6515-1860
Mark S ReedDepartment of Rural Economies, Environment & Society, Thriving Natural Capital Challenge Centre, Scotland's Rural College (SRUC), Edinburgh, United Kingdom.
Australian National University · AUScotland's Rural College · GBUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates how research data contributes to non-academic impacts using a secondary analysis of high-scoring impact case studies from the UK's Research Excellence Framework (REF). A content analysis was conducted to identify patterns, linking research data and impact. The most prevalent type of research data-driven impact related to "practice" (45%), which included changing how professionals operate, changing organizational culture and improving workplace productivity or outcomes. The second most common category was "government impacts", including reducing government service costs and enhancing government effectiveness or efficiency. Impacts from research data were developed most frequently through "improved institutional processes or methods" (40%) and developing impact via pre-analyzed or curated information in reports (32%), followed by "analytic software or methods" (26%). The analysis found that research data on their own rarely generate impacts. Instead they require analysis, curation, product development or other forms of significant intervention to leverage broader non-academic impacts.

Indexed as

GovernmentWorkplaceUnited Kingdom

Identifiers

PMID35271630
PMCPMC8912237
OpenAlexW4220698776

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.