Why the Current Insistence on Open Access to Scientific Data? Big Data, Knowledge Production, and the Political Economy of Contemporary Biology

The collection and dissemination of data on human and nonhuman organisms has become a central feature of 21st-century biology and has been endorsed by funding agencies in the United States and Europe as crucial to translating biological research into therapeutic and agricultural innovation. Large molecular data sets, often referred to as “big data,” are increasingly incorporated into digital databases, many of which are freely accessible online. These data have come to be seen as resources that play a key role in mediating global market exchange, thus achieving a prominent social and economic status well beyond science itself. At the same time, calls to make all such data publicly and freely available have garnered strength and visibility, most prominently in the form of the Open Data movement. I discuss these developments by considering the conditions under which data journey across the communities and institutions implicated in globalized biology and biomedicine, and what this indicates about how Internet-based communication and the use of online databases affect scientific research and its role within contemporary society.

[1]  R. Kohler, Lords of the fly: Drosophila genetics and the experimental life. , 1995 .

[2]  P. N. Edwards A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming , 2010 .

[3]  Sabina Leonelli,et al.  Classificatory Theory in Data-intensive Science: The Case of Open Biomedical Ontologies , 2012 .

[4]  Sabina Leonelli,et al.  Global data for local science: Assessing the scale of data infrastructures in biological and biomedical research , 2013, BioSocieties.

[5]  Geoffrey C. Bowker Biodiversity Datadiversity , 2000 .

[6]  Karen Ruhleder,et al.  Steps Toward an Ecology of Infrastructure: Design and Access for Large Information Spaces , 1996, Inf. Syst. Res..

[7]  S. Leonelli,et al.  Introduction: Making sense of data-driven research in the biological and biomedical sciences. , 2012, Studies in history and philosophy of biological and biomedical sciences.

[8]  Sabina Leonelli Centralising Labels to Distribute Data: The Regulatory Role of Genomic Consortia , 2009 .

[9]  Richard Tutton,et al.  Enterprising or altruistic selves? Making up research subjects in genetics research. , 2011, Sociology of health & illness.

[10]  S. Leonelli,et al.  Introduction: Biomedical Trans-Actions, Postgenomics, and Knowledge/Value , 2013 .

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

[12]  Sabina Leonelli Packaging Data for Re-Use: Databases in Model Organism Biology. , 2010 .

[13]  Masoud Pedram Sustainable digital infrastructure , 2010, 2010 15th CSI International Symposium on Computer Architecture and Digital Systems.

[14]  Wim van der Stelt,et al.  Accessibility, sustainability, excellence: how to expand access to research publications.: Executive summary , 2014 .

[15]  Tony Hey,et al.  The Fourth Paradigm: Data-Intensive Scientific Discovery , 2009 .

[16]  R. Corey,et al.  Shaping Biomedicine as an Information Science Timothy 1 enoir , 2022 .

[17]  R. Tutton Promising genomics, Iceland and deCODE genetics in a world of speculation , 2009 .

[18]  Sabina Leonelli,et al.  Integrating data to acquire new knowledge: Three modes of integration in plant science. , 2013, Studies in history and philosophy of biological and biomedical sciences.

[19]  R. Ankeny,et al.  Re-thinking organisms: The impact of databases on model organism biology. , 2012, Studies in history and philosophy of biological and biomedical sciences.

[20]  Niki Vermeulen,et al.  Collaboration in the new life sciences , 2010 .

[21]  Kaushik Sunder Rajan,et al.  Biocapital: The Constitution of Postgenomic Life , 2006 .

[22]  Sabina Leonelli,et al.  Documenting the emergence of bio-ontologies: or, why researching bioinformatics requires HPSSB. , 2010, History and philosophy of the life sciences.

[23]  Christopher Kelty,et al.  Two Bits: The Cultural Significance of Free Software , 2008 .

[24]  Christopher J. Rawlings,et al.  An International Bioinformatics Infrastructure to Underpin the Arabidopsis Community , 2010, Plant Cell.

[25]  Christine Hine,et al.  Databases as Scientific Instruments and Their Role in the Ordering of Scientific Work , 2006 .

[26]  E. Aronova,et al.  Big Science and Big Data in Biology: From the International Geophysical Year through the International Biological Program to the Long Term Ecological Research (LTER) Network, 1957––Present , 2010 .

[27]  S. Hilgartner Biomolecular Databases , 1995 .

[28]  Sabina Leonelli,et al.  How Well Do Facts Travel?: Packaging Small Facts for Re-Use: Databases in Model Organism Biology , 2010 .

[29]  Sabina Leonelli,et al.  When humans are the exception: Cross-species databases at the interface of biological and clinical research , 2012, Social studies of science.

[30]  Christopher Kelty,et al.  This is not an article: Model organism newsletters and the question of ‘open science’ , 2012 .