Evidence map›Paper›PMID 37172046›Full record

ReviewPloS one2023

DORA-compliant measures of research quality and impact to assess the performance of researchers in biomedical institutions: Review of published research, international best practice and Delphi survey.

Anna R Gagliardi, Rob H C Chen, Himani Boury, Mathieu Albert, James Chow, Ralph S DaCosta, Michael Hoffman, Behrang Keshavarz, Pia Kontos, Jenny Liu and 2 more

Abstract readReview
In one paragraph

Review in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Ten simple rules for empowering women in STEM.PLoS computational biology · 2022
    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

12 authors.

Anna R GagliardiToronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-5721-809X
Rob H C ChenUHN Research Solutions and Services, University Health Network, Toronto, Ontario, Canada.
Himani BouryToronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.
Mathieu AlbertThe Institute for Education Research, University Health Network, Toronto, Ontario, Canada.
James ChowTechna Institute, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0003-4202-4855
Ralph S DaCostaPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Michael HoffmanPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Behrang KeshavarzToronto Rehabilitation Institute (KITE), University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-7763-5325
Pia KontosToronto Rehabilitation Institute (KITE), University Health Network, Toronto, Ontario, Canada.
Jenny LiuKrembil Research Institute, University Health Network, Toronto, Ontario, Canada.
Mary Pat McAndrewsKrembil Research Institute, University Health Network, Toronto, Ontario, Canada.
Stephanie ProtzeMcEwen Stem Cell Institute, University Health Network, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe San Francisco Declaration on Research Assessment (DORA) advocates for assessing biomedical research quality and impact, yet academic organizations continue to employ traditional measures such as Journal Impact Factor. We aimed to identify and prioritize measures for assessing research quality and impact.

methodsWe conducted a review of published and grey literature to identify measures of research quality and impact, which we included in an online survey. We assembled a panel of researchers and research leaders, and conducted a two-round Delphi survey to prioritize measures rated as high (rated 6 or 7 by ≥ 80% of respondents) or moderate (rated 6 or 7 by ≥ 50% of respondents) importance.

resultsWe identified 50 measures organized in 8 domains: relevance of the research program, challenges to research program, or productivity, team/open science, funding, innovations, publications, other dissemination, and impact. Rating of measures by 44 panelists (60%) in Round One and 24 (55%) in Round Two of a Delphi survey resulted in consensus on the high importance of 5 measures: research advances existing knowledge, research plan is innovative, an independent body of research (or fundamental role) supported by peer-reviewed research funding, research outputs relevant to discipline, and quality of the content of publications. Five measures achieved consensus on moderate importance: challenges to research productivity, potential to improve health or healthcare, team science, collaboration, and recognition by professional societies or academic bodies. There was high congruence between researchers and research leaders across disciplines.

conclusionsOur work contributes to the field by identifying 10 DORA-compliant measures of research quality and impact, a more comprehensive and explicit set of measures than prior efforts. Research is needed to identify strategies to overcome barriers of use of DORA-compliant measures, and to "de-implement" traditional measures that do not uphold DORA principles yet are still in use.

Indexed as

Delivery of Health CareResearch DesignConsensusDelphi TechniqueJournal Impact FactorSurveys and Questionnaires

Identifiers

PMID37172046
PMCPMC10180594

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.