Abstract
Biobanks are collections of biological samples (e.g. tissues, blood and derivatives, other body fluids, cells, DNA, etc.) and their associated data. Consequently, human biobanks represent collections of human samples and data and are of fundamental importance for scientific research as they are an excellent resource to access and measure biological constituents that can be used to monitor the status and trends of both health and disease. Most -omics data trust on a secure access to these collections of stored human samples to provide the basis for establishing the ranges and frequencies of expression. However, there are many open questions and future challenges associated with the large amounts of heterogeneous data, ranging from pre-processing, data integration and data fusion to knowledge discovery and data mining along with a strong focus on privacy, data protection, safety and security.
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Huppertz, B., Holzinger, A. (2014). Biobanks – A Source of Large Biological Data Sets: Open Problems and Future Challenges. In: Holzinger, A., Jurisica, I. (eds) Interactive Knowledge Discovery and Data Mining in Biomedical Informatics. Lecture Notes in Computer Science, vol 8401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43968-5_18
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DOI: https://doi.org/10.1007/978-3-662-43968-5_18
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