Data collection and management in community engaged research: Lessons learned from two community-based participatory research partnerships

Crystal W. Cené, Laura Beth Haymore, Zoe Enga, Stepheria Hodge Sallah, Tiarney Ritchwood, Mysha Wynn, Danny Ellis, Giselle Corbie-Smith

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Background: Data collection and data management (DCDM) within community-engaged research (CEnR) requires special considerations that differ from those of traditional research. To date, little guidance exists to preemptively help community– academic partnerships anticipate and resolve DCDM issues that may arise. Objective: We sought to provide recommendations for DCDM based on two CEnR research projects. Methods: We used a case study design to describe the DCDM process and lessons learned that were generated through formal and informal discussions between community and academic partners. Lessons Learned: We identified 4 key lessons: 1) CEnR requires a flexible, iterative approach to DCDM, 2) there are trade-offs to having a flexible DCDM approach, 3) responsibilities for DCDM should consider the skill sets and priorities of all partners, and 4) nuances of DC within CEnR has important implications for human subjects and ethics training. Conclusions: Based on our lessons learned, we provide recommendations for how to approach DCDM within CEnR.

Original languageEnglish
Pages (from-to)413-422
Number of pages10
JournalProgress in Community Health Partnerships: Research, Education, and Action
Volume9
Issue number3
DOIs
StatePublished - 1 Sep 2015
Externally publishedYes

Keywords

  • Community-based participatory research
  • Health disparities
  • Health outcomes
  • Process issues
  • Southeastern United States

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