Title |
Developing a semantically rich ontology for the biobank-administration domain
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Published in |
Journal of Biomedical Semantics, October 2013
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DOI | 10.1186/2041-1480-4-23 |
Pubmed ID | |
Authors |
Mathias Brochhausen, Martin N Fransson, Nitin V Kanaskar, Mikael Eriksson, Roxana Merino-Martinez, Roger A Hall, Loreana Norlin, Sanela Kjellqvist, Maria Hortlund, Umit Topaloglu, William R Hogan, Jan-Eric Litton |
Abstract |
Biobanks are a critical resource for translational science. Recently, semantic web technologies such as ontologies have been found useful in retrieving research data from biobanks. However, recent research has also shown that there is a lack of data about the administrative aspects of biobanks. These data would be helpful to answer research-relevant questions such as what is the scope of specimens collected in a biobank, what is the curation status of the specimens, and what is the contact information for curators of biobanks. Our use cases include giving researchers the ability to retrieve key administrative data (e.g. contact information, contact's affiliation, etc.) about the biobanks where specific specimens of interest are stored. Thus, our goal is to provide an ontology that represents the administrative entities in biobanking and their relations. We base our ontology development on a set of 53 data attributes called MIABIS, which were in part the result of semantic integration efforts of the European Biobanking and Biomolecular Resources Research Infrastructure (BBMRI). The previous work on MIABIS provided the domain analysis for our ontology. We report on a test of our ontology against competency questions that we derived from the initial BBMRI use cases. Future work includes additional ontology development to answer additional competency questions from these use cases. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 4% |
Austria | 1 | 2% |
Brazil | 1 | 2% |
South Africa | 1 | 2% |
Mexico | 1 | 2% |
United States | 1 | 2% |
Unknown | 40 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 38% |
Other | 5 | 11% |
Student > Master | 4 | 9% |
Student > Bachelor | 3 | 6% |
Student > Doctoral Student | 3 | 6% |
Other | 9 | 19% |
Unknown | 5 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 11 | 23% |
Medicine and Dentistry | 9 | 19% |
Computer Science | 8 | 17% |
Biochemistry, Genetics and Molecular Biology | 3 | 6% |
Engineering | 2 | 4% |
Other | 6 | 13% |
Unknown | 8 | 17% |