Lessons learned and recommendations for data coordination in collaborative research: The CSER consortium experience.

ABSTRACT: Integrating data across heterogeneous research environments is a key challenge in multi-site, collaborative research projects. While it is important to allow for natural variation in data collection protocols across research sites, it is also important to achieve interoperability between datasets in order to reap the full benefits of collaborative work. However, there are few standards to guide the data coordination process from project conception to completion. In this paper, we describe the experiences of the Clinical Sequence Evidence-Generating Research (CSER) consortium Data Coordinating Center (DCC), which coordinated harmonized survey and genomic sequencing data from seven clinical research sites from 2020 to 2022. Using input from multiple consortium working groups and from CSER le

SUBMITTER: Muenzen KD 

PROVIDER: S-EPMC9190054 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature