{"doi":"10.1093/jamia/ocac166","title":"An interactive fitness-for-use data completeness tool to assess activity tracker data","abstract":"OBJECTIVE: To design and evaluate an interactive data quality (DQ) characterization tool focused on fitness-for-use completeness measures to support researchers' assessment of a dataset. MATERIALS AND METHODS: Design requirements were identified through a conceptual framework on DQ, literature review, and interviews. The prototype of the tool was developed based on the requirements gathered and was further refined by domain experts. The Fitness-for-Use Tool was evaluated through a within-subjects controlled experiment comparing it with a baseline tool that provides information on missing data based on intrinsic DQ measures. The tools were evaluated on task performance and perceived usability. RESULTS: The Fitness-for-Use Tool allows users to define data completeness by customizing the measures and its thresholds to fit their research task and provides a data summary based on the customized definition. Using the Fitness-for-Use Tool, study participants were able to accurately complete fitness-for-use assessment in less time than when using the Intrinsic DQ Tool. The study participants perceived that the Fitness-for-Use Tool was more useful in determining the fitness-for-use of a dataset than the Intrinsic DQ Tool. DISCUSSION: Incorporating fitness-for-use measures in a DQ characterization tool could provide data summary that meets researchers needs. The design features identified in this study has potential to be applied to other biomedical data types. CONCLUSION: A tool that summarizes a dataset in terms of fitness-for-use dimensions and measures specific to a research question supports dataset assessment better than a tool that only presents information on intrinsic DQ measures.","journal":"Journal of the American Medical Informatics Association","year":2022,"id":290455,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9429,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":634452,"name":"Ipek Ensari","orcid":"0000-0001-7745-8501","position":1,"is_corresponding":false},{"id":675186,"name":"Noémie Elhadad","orcid":"0000-0001-9721-5240","position":2,"is_corresponding":false},{"id":2012,"name":"Chunhua Weng","orcid":"0000-0002-9624-0214","position":3,"is_corresponding":false},{"id":227516,"name":"Jennifer M. Radin","orcid":"0000-0003-3843-0842","position":4,"is_corresponding":false},{"id":662004,"name":"Brinnae Bent","orcid":"0000-0002-7039-0177","position":5,"is_corresponding":false},{"id":501850,"name":"Pooja M. Desai","orcid":null,"position":6,"is_corresponding":false},{"id":32076,"name":"Karthik Natarajan","orcid":"0000-0002-9066-9431","position":7,"is_corresponding":false},{"id":634451,"name":"Sylvia Cho","orcid":"0000-0002-0263-0343","position":0,"is_corresponding":true}],"reference_count":32,"raw_metadata":null,"created_at":"2026-07-19T00:30:30.639224Z","pmid":"36173371","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":[]}