Literature DB >> 26215866

Research Infrastructure for Collaborative Team Science: Challenges in Technology-Supported Workflows in and Across Laboratories, Institutions, and Geographies.

Barbara Mirel1, Airong Luo2, Marcelline Harris3.   

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.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Systems biology; bioinformatics; interdisciplinary research; research capability model; technological innovation; transciplinary research

Mesh:

Year:  2015        PMID: 26215866      PMCID: PMC4518205          DOI: 10.1016/j.semnephrol.2015.04.009

Source DB:  PubMed          Journal:  Semin Nephrol        ISSN: 0270-9295            Impact factor:   5.299


  16 in total

Review 1.  Incorporating ideas from computer-supported cooperative work.

Authors:  Wanda Pratt; Madhu C Reddy; David W McDonald; Peter Tarczy-Hornoch; John H Gennari
Journal:  J Biomed Inform       Date:  2004-04       Impact factor: 6.317

Review 2.  Translational informatics: enabling high-throughput research paradigms.

Authors:  Philip R O Payne; Peter J Embi; Chandan K Sen
Journal:  Physiol Genomics       Date:  2009-09-08       Impact factor: 3.107

Review 3.  Visualization of omics data for systems biology.

Authors:  Nils Gehlenborg; Seán I O'Donoghue; Nitin S Baliga; Alexander Goesmann; Matthew A Hibbs; Hiroaki Kitano; Oliver Kohlbacher; Heiko Neuweger; Reinhard Schneider; Dan Tenenbaum; Anne-Claude Gavin
Journal:  Nat Methods       Date:  2010-03       Impact factor: 28.547

Review 4.  Changing requirements and resulting needs for IT-infrastructure for longitudinal research in the neurosciences.

Authors:  Karoline Buckow; Matthias Quade; Otto Rienhoff; Sara Y Nussbeck
Journal:  Neurosci Res       Date:  2014-08-22       Impact factor: 3.304

5.  Pioneering the Transdisciplinary Team Science Approach: Lessons Learned from National Cancer Institute Grantees.

Authors:  Amanda L Vogel; Brooke A Stipelman; Kara L Hall; Linda Nebeling; Daniel Stokols; Donna Spruijt-Metz
Journal:  J Transl Med Epidemiol       Date:  2014

6.  A multi-level systems perspective for the science of team science.

Authors:  Katy Börner; Noshir Contractor; Holly J Falk-Krzesinski; Stephen M Fiore; Kara L Hall; Joann Keyton; Bonnie Spring; Daniel Stokols; William Trochim; Brian Uzzi
Journal:  Sci Transl Med       Date:  2010-09-15       Impact factor: 17.956

7.  Supporting cognition in systems biology analysis: findings on users' processes and design implications.

Authors:  Barbara Mirel
Journal:  J Biomed Discov Collab       Date:  2009-02-13

Review 8.  Defining nephrotic syndrome from an integrative genomics perspective.

Authors:  Matthew G Sampson; Jeffrey B Hodgin; Matthias Kretzler
Journal:  Pediatr Nephrol       Date:  2014-06-03       Impact factor: 3.714

9.  A cognitive task analysis of a visual analytic workflow: Exploring molecular interaction networks in systems biology.

Authors:  Barbara Mirel; Felix Eichinger; Benjamin J Keller; Matthias Kretzler
Journal:  J Biomed Discov Collab       Date:  2011-03-21

10.  SNPAAMapper: An efficient genome-wide SNP variant analysis pipeline for next-generation sequencing data.

Authors:  Yongsheng Bai; James Cavalcoli
Journal:  Bioinformation       Date:  2013-10-16
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  1 in total

Review 1.  Defining Glomerular Disease in Mechanistic Terms: Implementing an Integrative Biology Approach in Nephrology.

Authors:  Laura H Mariani; William F Pendergraft; Matthias Kretzler
Journal:  Clin J Am Soc Nephrol       Date:  2016-09-14       Impact factor: 8.237

  1 in total

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