Literature DB >> 16766359

Post-genomic science: cross-disciplinary and large-scale collaborative research and its organizational and technological challenges for the scientific research process.

Elaine Welsh1, Marina Jirotka, David Gavaghan.   

Abstract

We examine recent developments in cross-disciplinary science and contend that a 'Big Science' approach is increasingly evident in the life sciences-facilitated by a breakdown of the traditional barriers between academic disciplines and the application of technologies across these disciplines. The first fruits of 'Big Biology' are beginning to be seen in, for example, genomics, (bio)-nanotechnology and systems biology. We suggest that this has profound implications for the research process and presents challenges both in technological design, in the provision of infrastructure and training, in the organization of research groups, and in providing suitable research funding mechanisms and reward systems. These challenges need to be addressed if the promise of this approach is to be fully realized. In this paper, we will draw on the work of social scientists to understand how these developments in science and technology relate to organizational culture, organizational change and the context of scientific work. We seek to learn from previous technological developments that seemed to offer similar potential for organizational and social change.

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Year:  2006        PMID: 16766359     DOI: 10.1098/rsta.2006.1785

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  4 in total

1.  An EcoHealth Forum in London: young researchers fill a training gap.

Authors:  Noah Scovronick; Stephen Dorey; Barbara Häsler; Sabine Gabrysch; Laura Salonen; Silvia Alonso
Journal:  Ecohealth       Date:  2010-06       Impact factor: 3.184

2.  The need for a multidisciplinary team approach to life science workflows.

Authors:  Timothy B Patrick; Catherine K Craven; Lillian C Folk
Journal:  J Med Libr Assoc       Date:  2007-07

Review 3.  Towards better mouse models: enhanced genotypes, systemic phenotyping and envirotype modelling.

Authors:  Johannes Beckers; Wolfgang Wurst; Martin Hrabé de Angelis
Journal:  Nat Rev Genet       Date:  2009-06       Impact factor: 53.242

4.  Requirements for data integration platforms in biomedical research networks: a reference model.

Authors:  Matthias Ganzinger; Petra Knaup
Journal:  PeerJ       Date:  2015-02-05       Impact factor: 2.984

  4 in total

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