{"doi":"10.1017/cts.2025.76","title":"Measuring the aggregated impact of research: Establishing criteria for coding Translational Science Benefits Model data","abstract":"Introduction: A promising approach to assessing research impact draws on the Translational Science Benefits Model (TSBM), an evaluation model that tracks the applied benefits of research in four domains: Clinical and Medical; Community and Public Health; Economic; and Policy and Legislative. However, standardized methods to verify TSBM benefit data, to aid in aggregating impact data within quantitative summaries, do not currently exist. Methods: A panel of 11 topic experts participated in a modified Delphi process for establishing content and face validity of a set of criteria for verifying qualitative TSBM data. Two survey rounds were completed by panelists, with a moderated discussion in between rounds to discuss criteria not reaching consensus. Criteria with panel consensus at or above 70% in the survey rounds were confirmed as validated. Results: Criteria fell into 9 categories: Content Relevant, Project Related, Who, Reach, What, How, Novel, Documented Evidence, and When. The Delphi process yielded 197 total criteria across the 30 benefits characterized by the TSBM (range = 5-8 criteria per benefit). Discussion: The results of this Delphi process lay the foundation for developing a TSBM coding tool for evaluating and quantifying TSBM data. Standardizing this process will enable data aggregation, group analysis, and the comparison of research impact across contexts.","journal":"Journal of Clinical and Translational Science","year":2025,"id":552790,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8631,"is_data_producer":true,"deposit_databanks":{"Dryad":["10.5061/dryad.zkh1893j9"]},"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":982182,"name":"Amanda Woodworth","orcid":"0000-0003-4055-4625","position":1,"is_corresponding":false},{"id":833657,"name":"Stephanie Andersen","orcid":"0000-0001-5372-5468","position":2,"is_corresponding":false},{"id":1449552,"name":"Rosalina Das","orcid":null,"position":3,"is_corresponding":false},{"id":1412012,"name":"Julie Heidbreder","orcid":null,"position":4,"is_corresponding":false},{"id":532893,"name":"Rechelle Paranal","orcid":null,"position":5,"is_corresponding":false},{"id":447725,"name":"Clara M. Pelfrey","orcid":"0000-0002-6108-7555","position":6,"is_corresponding":false},{"id":1250009,"name":"Jessica Sperling","orcid":"0000-0002-2443-3762","position":7,"is_corresponding":false},{"id":451845,"name":"Beth Baldwin Tigges","orcid":"0000-0001-9821-8232","position":8,"is_corresponding":false},{"id":932011,"name":"Boris B. Volkov","orcid":"0000-0002-5412-3028","position":9,"is_corresponding":false},{"id":528899,"name":"Margaret Schneider","orcid":"0000-0002-8314-0732","position":10,"is_corresponding":false},{"id":1184930,"name":"Nicole Miovsky","orcid":null,"position":0,"is_corresponding":true}],"reference_count":12,"raw_metadata":null,"created_at":"2026-07-19T02:54:37.527189Z","pmid":"40599181","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}