biostudies-literatureUnknown6(1)DiMartino L<h4>Background</h4>Methods of integrating qualitative data across diverse studies and within multi-site research consortia are less developed than those for integrating quantitative data. The development ofsuchmethods is essential to support the data exchange needed for cross-study qualitative inquiry and given the increasing emphasis on data sharing and open science. We describe methods for qualitative data integration within the National Cancer Institute's Improving the Management of symPtoms During And following Cancer Treatment (IMPACT) Consortium funded by the Cancer Moonshot^SM. Data collection and analysis were guided by the Consolidated Framework for Implementation Research (CFIR). Our case study highlights potential solutions for unique challenges faced when integrating Implementation science communications21https://www.ebi.ac.uk/biostudies/studies/S-EPMC11853699biostudies-literatureDevelopment of a method for qualitative data integration to advance implementation science within research consortia.PMC11853699Mitchell SAO'Connor MHerrin JMcCleary NJIMPACT ConsortiumMai QHAhrens PYanez BRevette AGriffin JMWeiner BJWehbe FBian JJUno HPoirier-Shelton TCoughlin ADizon DSCronin CHemming KRichardson JKroner BLGarcia SRichardson KGarcia MMallow JSchrag DRahman PHodgdon CTyndall BDOsarogiagbon RUCella DCaron KFaris NRedmond STesch NBass MArdini MAPopovic JBarrett FKroenke KTofthagen CBegnoche MReich JWong SLPodratz JTasker LCahue SSmith AWPenedo FTramontano AJensen RSmith JDFlores AMDiMartino LRutten LLancki NHazard-Jenkins HWPreiss LHassett MJSchaepe KPachman DCheville ALNorton WEAustin JLam VSilberman PDias SRidgeway JLRuddy KCarroll AJChlan LSimpson JScholtens DKircher SPearson LfalseDevelopment of a method for qualitative data integration to advance implementation science within research consortia.<h4>Background</h4>Methods of integrating qualitative data across diverse studies and within multi-site research consortia are less developed than those for integrating quantitative data. The development ofsuchmethods is essential to support the data exchange needed for cross-study qualitative inquiry and given the increasing emphasis on data sharing and open science. We describe methods for qualitative data integration within the National Cancer Institute's Improving the Management of symPtoms During And following Cancer Treatment (IMPACT) Consortium funded by the Cancer Moonshot^SM. Data collection and analysis were guided by the Consolidated Framework for Implementation Research (CFIR). Our case study highlights potential solutions for unique challenges faced when integrating 2025-01-01T00:00:00Z2025 Feb2025-04-18T21:17:09.786Z2025-04-07T09:12:37.469ZS-EPMC118536994000122310.1186/s43058-025-00701-4