The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Evaluating impact from research: A methodological framework
Open accessAbstract
Interest in impact evaluation has grown rapidly as research funders increasingly demand evidence that their investments lead to public benefits. This paper analyses literature to provide a new definition of research impact and impact evaluation, develops a typology of research impact evaluation designs, and proposes a methodological framework to guide evaluations of the significance and reach of impact that can be attributed to research. An adapted Grounded Theory Analysis of research impact evaluation frameworks drawn from cross-disciplinary peer-reviewed and grey literature. Recognizing the subjective nature of impacts as they are perceived by different groups in different times, places and cultures, we define research impact evaluation as the process of assessing the significance and reach of both positive and negative effects of research. Five types of impact evaluation design are identified encompassing a range of evaluation methods and approaches: i) experimental and statistical methods; ii) textual, oral and arts-based methods; iii) systems analysis methods; iv) indicator-based approaches; and v) evidence synthesis approaches. Our guidance enables impact evaluation design to be tailored to the aims and context of the evaluation, for example choosing a design to establish a body of research as a necessary (e.g. a significant contributing factor amongst many) or sufficient (e.g. sole, direct) cause of impact, and choosing the most appropriate evaluation design for the type of impact being evaluated. Using the proposed definitions, typology and methodological framework, researchers, funders and other stakeholders working across multiple disciplines can select a suitable evaluation design and methods to evidence the impact of research from any discipline.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses
Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008) · The FASEB Journal · doi:10.1096/fj.07-9492lsf · Cited by 5,039
Talking about pictures: A case for photo elicitation
Harper, D. (2002) · Visual Studies · doi:10.1080/14725860220137345 · Cited by 3,966
Core outcome domains for chronic pain clinical trials: IMMPACT recommendations
Turk, D. C., Dworkin, R. H., Allen, R. R., Bellamy, N., Brandenburg, N., Carr, D. B., Cleeland, C., Dionne, R., Farrar, J. T., Galer, B. S., et al. (2003) · Pain · doi:10.1016/j.pain.2003.08.001 · Cited by 3,510 · cited 1×
“This is similar to approaches to evidence in the medical research community (e.g. the use of common outcome measures for chronic pain clinical trials enabling findings to be synthesised across studies in meta-analyses to inform evidence-based medicine policy and practice; Turk et al., 2003) and could in theory be appl…”
MethodThe answer is 17 years, what is the question: understanding time lags in translational research
Morris, Z. S., Wooding, S., & Grant, J. (2011) · Journal of the Royal Society of Medicine · doi:10.1258/jrsm.2011.110180 · Cited by 3,340
Configurational Comparative Methods: Qualitative Comparative Analysis (QCA) and Related Techniques
Rihoux, B., & Ragin, C. (2009) · SAGE Publications · doi:10.4135/9781452226569 · Cited by 3,089
Mattley, C., Strauss, A., & Corbin, J. (1999) · Contemporary Sociology · doi:10.2307/2655359 · Cited by 2,408
Dixon-Woods, M., Cavers, D., Agarwal, S., Annandale, E., Arthur, A., Harvey, J., Hsu, R., Katbamna, S., Olsen, R., Smith, L., et al. (2006) · BMC Medical Research Methodology · doi:10.1186/1471-2288-6-35 · Cited by 2,289
Methods for the synthesis of qualitative research: a critical review
Barnett-Page, E., & Thomas, J. (2009) · BMC Medical Research Methodology · doi:10.1186/1471-2288-9-59 · Cited by 2,042
Martín-Martín, A., Orduna-Malea, E., Thelwall, M., & Delgado López-Cózar, E. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.09.002 · Cited by 1,990
The need for evidence-based conservation
Sutherland, W. J., Pullin, A. S., Dolman, P. M., & Knight, T. M. (2004) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2004.03.018 · Cited by 1,822
Metadata
- Authors
- Reed, M. S., Ferré, M., Martin-Ortega, J., Blanche, R., Lawford-Rolfe, R., Dallimer, M., & Holden, J.
- Venue
- Research Policy
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 50
- Issue
- 4
- Pages
- 104147
- ISSN
- 0048-7333 (ISSN-L)
- OpenAlex
- W3088866792
- Cited by
- 319
- References
- 95
- FWCI
- 24.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Evaluating impact from research: A methodological framework. https://app.cochat.ai/papers/10.1016/j.respol.2020.104147
- The paper
- Reed, M. S., Ferré, M., Martin-Ortega, J., Blanche, R., Lawford-Rolfe, R., Dallimer, M., & Holden, J. (2021). Evaluating impact from research: A methodological framework. Research Policy. https://doi.org/10.1016/j.respol.2020.104147
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.