{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Clarke H"],"funding":["Economic and Social Research Council"],"pagination":["e24236"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8167605"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["23(5)"],"pubmed_abstract":["<h4>Background</h4>Novel consumer and lifestyle data, such as those collected by supermarket loyalty cards or mobile phone exercise tracking apps, offer numerous benefits for researchers seeking to understand diet- and exercise-related risk factors for diseases. However, limited research has addressed public attitudes toward linking these data with individual health records for research purposes. Data linkage, combining data from multiple sources, provides the opportunity to enhance preexisting data sets to gain new insights.<h4>Objective</h4>The aim of this study is to identify key barriers to data linkage and recommend safeguards and procedures that would encourage individuals to share such data for potential future research.<h4>Methods</h4>The LifeInfo Survey consulted the public on the"],"journal":["Journal of medical Internet research"],"pubmed_title":["Understanding Barriers to Novel Data Linkages: Topic Modeling of the Results of the LifeInfo Survey."],"pmcid":["PMC8167605"],"funding_grant_id":["ES/S007164/1","ES/L011891/1"],"pubmed_authors":["Clarke H","Birkin M","Glaser A","Morris MA","Iles-Smith H","Clark S"],"additional_accession":[]},"is_claimable":false,"name":"Understanding Barriers to Novel Data Linkages: Topic Modeling of the Results of the LifeInfo Survey.","description":"<h4>Background</h4>Novel consumer and lifestyle data, such as those collected by supermarket loyalty cards or mobile phone exercise tracking apps, offer numerous benefits for researchers seeking to understand diet- and exercise-related risk factors for diseases. However, limited research has addressed public attitudes toward linking these data with individual health records for research purposes. Data linkage, combining data from multiple sources, provides the opportunity to enhance preexisting data sets to gain new insights.<h4>Objective</h4>The aim of this study is to identify key barriers to data linkage and recommend safeguards and procedures that would encourage individuals to share such data for potential future research.<h4>Methods</h4>The LifeInfo Survey consulted the public on the","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 May","modification":"2026-05-09T11:21:20.845Z","creation":"2026-05-07T03:07:48.415Z"},"accession":"S-EPMC8167605","cross_references":{"pubmed":["33998998"],"doi":["10.2196/24236"]}}