title: Research Infrastructure for Collaborative Team Science: Challenges in Technology-Supported Workflows in and Across Laboratories, Institutions, and Geographies.
abstract: Collaborative research has many challenges. One under-researched challenge is how to align collaborators' research practices and evolving analytical reasoning with technologies and configurations of technologies that best support them. The goal of such alignment is to enhance collaborative problem solving capabilities in research. Toward this end, we draw on our own research and a synthesis of the literature to characterize the workflow of collaborating scientists in systems-level renal disease research. We describe the various phases of a hypothetical workflow among diverse collaborators within and across laboratories, extending from their primary analysis through secondary analysis. For each phase, we highlight required technology supports, and. At time, complementary organizational supports. This survey of supports matching collaborators' analysis practices and needs in research projects to technological support is preliminary, aimed ultimately at developing a research capability framework that can help scientists and technologists mutually understand workflows and technologies that can help enable and enhance them.
authors.affiliation: School of Education, University of Michigan, Ann Arbor, MI. Electronic address: bmirel@umich.edu.
authors.forename: Barbara
authors.initials: B
authors.lastname: Mirel
authors.affiliation: MSIS Research IT, Medical School, University of Michigan, Ann Arbor, MI.
authors.forename: Airong
authors.initials: A
authors.lastname: Luo
authors.affiliation: School of Nursing, University of Michigan, Ann Arbor, MI.
authors.forename: Marcelline
authors.initials: M
authors.lastname: Harris
mesh_terms: D035843:Biomedical Research / Q000379:methods*; D019295:Computational Biology / Q000379:methods*; D023281:Genomics / Q000379:methods*; D006801:Humans; D033183:Interdisciplinary Communication; D009398:Nephrology / Q000379:methods*
keywords: Systems biology; bioinformatics; interdisciplinary research; research capability model; technological innovation; transciplinary research