Chapter 7 The Commodification of Knowledge Exchange: Governing the Circulation of Biological Data

in science, with particular attention to the boom in bioinformatic resources characterising contemporary biology and medicine. I show how the ongoing commodification of the life sciences affects the ways in which data are circulated across research contexts. The necessity for scientists to develop ways to communicate with each other and build on each other’s work constitutes a powerful argument against at least some forms of privatisation of data for commercial purposes. Science exists in its current form thanks largely to the modes of open communication and collaboration elaborated by scientists and their patrons (be they monarchs, churches, states or private institutions) throughout the centuries. As ‘big science’ research blossoms and expands

[1]  Eliot Marshall,et al.  Sharing the Glory, Not the Credit , 2001, Science.

[2]  Luisa Calè,et al.  The Disorder of Things , 2011 .

[3]  S. Leonelli.  Weed for Thought : Using Arabidopsis thaliana to Understand Plant Biology , 2007 .

[4]  Rachel A. Ankeny,et al.  Wormy Logic: Model Organisms as Case-Based Reasoning , 2006, Science without Laws.

[5]  Steve Fuller,et al.  The Governance of Science , 1999 .

[6]  I. Verma.  The Common Thread: A Story of Science, Politics, Ethics and the Human Genome , 2002, Nature Medicine.

[7]  J. Woodward,et al.  Saving the phenomena , 1988 .

[8]  Kei-Hoi Cheung,et al.  Advancing translational research with the Semantic Web , 2007, BMC Bioinformatics.

[9]  Li Yang,et al.  MIPSPlantsDB—plant database resource for integrative and comparative plant genome research , 2007, Nucleic Acids Res..

[10]  E. Marshall.  Talks of Public-Private Deal End in Acrimony , 2000, Science.

[11]  N. Brown,et al.  Emerging Bioinformatic Networks: Contesting the Public Meaning of Private and the Private Meaning of Public , 2000 .

[12]  Jungwon Yoon,et al.  The Arabidopsis Information Resource (TAIR): a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community , 2003, Nucleic Acids Res..

[13]  Members of the Complex Trait Consortium.  Standardizing global gene expression analysis between laboratories and across platforms , 2005 .

[14]  Dong Xu,et al.  Bioinformatics and its applications in plant biology. , 2006, Annual review of plant biology.

[15]  S. Hilgartner.  Biomolecular Databases , 1995 .

[16]  Sabina Leonelli,et al.  On the Locality of Data and Claims about Phenomena , 2009, Philosophy of Science.

[17]  A. Bostanci,et al.  Sequencing Human Genomes , 2003 .

[18]  Vladimir B. Bajic,et al.  Extracting Information for Meaningful Function Inference through Text-Mining , 2006 .

[19]  Kenneth Baclawski,et al.  Ontologies for Bioinformatics , 2005 .

[20]  D. Delmer,et al.  Intellectual Property Resources for International Development in Agriculture , 2003, Plant Physiology.

[21]  P. Green,et al.  A "quality-first" credo for the Human Genome Project. , 1998, Genome research.