Abstract

AbstractVarious information technology (IT) infrastructures for biobanking, networks of biobanks and biomaterial management are described in the literature. As pre-analytical variables play a major role in the downstream interpretation of clinical as well as research results, their documentation is essential. A description for mainly automated documentation of the complete life-cycle of each biospecimen is lacking so far. Here, the example taken is from the University Medical Center Göttingen (UMG), where the workflow of liquid biomaterials is standardized between the central laboratory and the central biobank. The workflow of liquid biomaterials from sample withdrawal to long-term storage in a biobank was analyzed. Essential data such as time and temperature for processing and freezing can be automatically collected. The proposed solution involves only one major interface between the main IT systems of the laboratory and the biobank. It is key to talk to all the involved stakeholders to ensure a functional and accepted solution. Although IT components differ widely between clinics, the proposed way of documenting the complete life-cycle of each biospecimen can be transferred to other university medical centers. The complete documentation of the life-cycle of each biospecimen ensures a good interpretability of downstream routine as well as research results.

Highlights

  • In our global digital world, where medical research tends to spread over borders, the requirement to interconnect biobanks is not new

  • The example taken is from the University Medical Center ­Göttingen (UMG), where the workflow of liquid biomaterials is standardized between the central laboratory and the central biobank

  • information technology (IT) components differ widely between clinics, the proposed way of documenting the complete life-cycle of each biospecimen can be transferred to other university medical centers

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Summary

Introduction

In our global digital world, where medical research tends to spread over borders, the requirement to interconnect biobanks is not new. Zooming into individual university medical centers, biobanks have to be seen as part of the research data pipeline [9]. Biomaterials are seen as a separate finite type of data, and they only become valuable for research, if standardized associated data are available . These biospecimen-associated data are distributed in different databases and have to be linked in a non-coding pseudonymized fashion for research [10] as described earlier [11, 12]

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