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Workflow-based Information Management: a nimble, abstracted framework for information management in multicenter research studies
Hasan Sulaeman;
Mars Stone;
Roberta Bruhn;
Karla Zurita;
Anh Nguyen;
Vincent Chiang;
Jefferson Jones;
Xutao Deng;
Brian Custer;
Michael Busch;
Eduard Grebe
ABSTRACT
Biological and health research is becoming more data-driven. Institutions, including commercial and research laboratories, generate data faster now than ever before. The increasing rate of data generation, along with the lessons learned from the COVID-19 pandemic, necessitates a nimble and dependable data infrastructure for organizations to be able to quickly execute research studies and provide insights to inform public health policy and practice. In this manuscript, we describe our Workflow-based Information Management (WIM) framework, a research information management system built on the open-source and freely available R programming language and the associated ecosystem of community-developed packages. We demonstrate that the framework can be readily adapted to a wide range of epidemiology studies and research projects.
Citation
Please cite as:
Sulaeman H, Stone M, Bruhn R, Zurita K, Nguyen A, Chiang V, Jones J, Deng X, Custer B, Busch M, Grebe E
Workflow‑Based Information Management Framework for Multicenter Research Studies: Design and Development