Objective
The translation of basic biomedical research into clinical practice has become a central concern for science policy. Policies to foster translation are being applied to large amounts of genomic information available in open-access databases. This information is the result of concerted initiatives that, in the early 2000s, determined the full genetic sequence that characterises humans and other organisms. However, when the initiatives started the goal of determining the full sequence and making the resulting information available was not universally supported. My project will investigate how and why this objective of completing the sequence was adopted in preference to other models that prioritised the usability of the data.
Newly available archives suggest that the yeast, human and pig genome initiatives underwent crucial changes from the mid-1980s onwards. In their early years, the priority had been rapid translation of results into the improvement of human and animal health. Consequently, sequence determination was limited to small areas of the genome for which there was an existing medical interest. However, as the initiatives progressed the systematic sequencing of the full genome prevailed over those approaches. My project will follow the development of these sidelined models that sought to use the sequences as they were produced, in order to investigate their significance for current translational research policies.
I will develop a collaborative framework in which archival research will be combined with insights from social studies of science and innovation studies. By doing this, I seek to bridge the current fragmentation between history of science and other fields of science studies focused on present-day events. In my project, biomedical translation will be approached as a historical process that unfolds over time and can be investigated with a cross-disciplinary set of tools, to be commonly applied to historical, contemporary and prospective studies.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesdatabases
- humanitieshistory and archaeologyhistory
- humanitiesother humanitieslibrary sciences
- social sciencessociologyanthropologyscience and technology studies
- natural sciencesbiological sciencesgeneticsgenomes
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Programme(s)
Topic(s)
Funding Scheme
ERC-STG - Starting GrantHost institution
EH8 9YL Edinburgh
United Kingdom