Strategies for biobank networks : Classification of different approaches for locating samples and an outlook on the future within the BBMRI-ERIC

Lablans M, Kadioglu D, Mate S, Leb I, Prokosch HU, Ueckert F (2016)

Publication Type: Journal article

Publication year: 2016

Journal

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Springer

Book Volume: 59

Pages Range: 373-378

Journal Issue: 3

DOI: 10.1007/s00103-015-2299-y

Abstract

Medical research projects often require more biological material than can be supplied by a single biobank. For this reason, a multitude of strategies support locating potential research partners with matching material without requiring centralization of sample storage.Classification of different strategies for biobank networks, in particular for locating suitable samples. Description of an IT infrastructure combining these strategies.Existing strategies can be classified according to three criteria: (a) granularity of sample data: coarse bank-level data (catalogue) vs. fine-granular sample-level data, (b) location of sample data: central (central search service) vs. decentral storage (federated search services), and (c) level of automation: automatic (query-based, federated search service) vs. semi-automatic (inquiry-based, decentral search). All mentioned search services require data integration. Metadata help to overcome semantic heterogeneity.The "Common Service IT" in BBMRI-ERIC (Biobanking and BioMolecular Resources Research Infrastructure) unites a catalogue, the decentral search and metadata in an integrated platform. As a result, researchers receive versatile tools to search suitable biomaterial, while biobanks retain a high degree of data sovereignty.Despite their differences, the presented strategies for biobank networks do not rule each other out but can complement and even benefit from each other.

Authors with CRIS profile

Sebastian Mate Lehrstuhl für Medizinische Informatik Ines Leb Lehrstuhl für Medizinische Informatik Hans-Ulrich Prokosch Lehrstuhl für Medizinische Informatik

Involved external institutions

Deutsches Krebsforschungszentrum (DKFZ) DE Germany (DE) Universitätsmedizin der Johannes Gutenberg-Universität Mainz DE Germany (DE)

How to cite

APA:

Lablans, M., Kadioglu, D., Mate, S., Leb, I., Prokosch, H.-U., & Ueckert, F. (2016). Strategies for biobank networks : Classification of different approaches for locating samples and an outlook on the future within the BBMRI-ERIC. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 59(3), 373-378. https://doi.org/10.1007/s00103-015-2299-y

MLA:

Lablans, Martin, et al. "Strategies for biobank networks : Classification of different approaches for locating samples and an outlook on the future within the BBMRI-ERIC." Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz 59.3 (2016): 373-378.

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