Chapter title |
Preparing Data at the Source to Foster Interoperability across Rare Disease Resources
|
---|---|
Chapter number | 9 |
Book title |
Rare Diseases Epidemiology: Update and Overview
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/978-3-319-67144-4_9 |
Pubmed ID | |
Book ISBNs |
978-3-31-967142-0, 978-3-31-967144-4
|
Authors |
Marco Roos, Estrella López Martin, Mark D. Wilkinson, Roos, Marco, López Martin, Estrella, Wilkinson, Mark D. |
Abstract |
The ability to combine heterogeneous data distributed across the globe is critically important to boost research on rare diseases, but it presents a number of methodological, representational and automation challenges. In this scenario, biomedical ontologies are of critical importance for enabling computers to aid in information retrieval and analysis across data collections.This chapter presents an approach to preparing rare disease data for integration through the application of a global standard for computer-readable data and knowledge. This includes the use of common data elements, ontological codes and computer-readable data. This approach was developed under a number of domain-relevant requirements, such as controlled access to data, independence of the original sources, and the desire to combining the data sources with other computational workflows and data platforms. |
X Demographics
Geographical breakdown
Country | Count | As % |
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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 % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 17% |
Student > Doctoral Student | 4 | 13% |
Other | 4 | 13% |
Student > Master | 3 | 10% |
Researcher | 3 | 10% |
Other | 4 | 13% |
Unknown | 7 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 20% |
Medicine and Dentistry | 6 | 20% |
Biochemistry, Genetics and Molecular Biology | 2 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
Nursing and Health Professions | 1 | 3% |
Other | 4 | 13% |
Unknown | 9 | 30% |