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@ARTICLE{Engels:292102,
author = {C. Engels$^*$ and J. Kern$^*$ and Z. Dudová and N.
Deppenwiese and A. Kiel$^*$ and B. Kroll and T. Kussel$^*$
and C. Schüttler and R. Tomášik and M. Hummel$^*$ and M.
Lablans$^*$},
collaboration = {G. B. Alliance},
othercontributors = {M. Breu and D. Croft and N. Deppenwiese and C. Dolch and P.
Duhm-Harbeck and L. Ebert and C. Engels and J. Kern and A.
Kiel and C. Knell and A.-K. Kock-Schoppenhauer and B. Kroll
and T. Kussel and J. Linde and C. Maier and M. Neumann and
M. Öfelein and M. Rambow and S. Sahr and C. Schüttler and
F. Stampe and D. Tas and R. Tomášik and H. Ulrich and M.
Lablans and H.-U. Prokosch and M. Hummel},
title = {{T}he sample locator: {A} federated search tool for
biosamples and associated data in {E}urope using {HL}7
{FHIR}.},
journal = {Computers in biology and medicine},
volume = {180},
issn = {0010-4825},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {DKFZ-2024-01601},
pages = {108941},
year = {2024},
abstract = {This study outlines the development of a highly
interoperable federated IT infrastructure for academic
biobanks located at the major university hospital sites
across Germany. High-quality biosamples linked to clinical
data, stored in biobanks are essential for biomedical
research. We aimed to facilitate the findability of these
biosamples and their associated data. Networks of biobanks
provide access to even larger pools of samples and data even
from rare diseases and small disease subgroups. The German
Biobank Alliance (GBA) established in 2017 under the
umbrella of the German Biobank Node (GBN), has taken on the
mission of a federated data discovery service to make
biosamples and associated data available to researchers
across Germany and Europe.In this context, we identified the
requirements of researchers seeking human biosamples from
biobanks and the needs of biobanks for data sovereignty over
their samples and data in conjunction with the sample
donor's consent. Based on this, we developed a highly
interoperable federated IT infrastructure using standards
such as Fast Healthcare Interoperability Resources (HL7
FHIR) and Clinical Quality Language (CQL).The infrastructure
comprises two major components enabling federated real-time
access to biosample metadata, allowing privacy-compliant
queries and subsequent project requests. It has been in use
since 2019, connecting 16 German academic biobanks, with
additional European biobanks joining. In production since
2019 it has run 4941 queries over the span of one year on
more than 900,000 biosamples collected from more than
170,000 donors.This infrastructure enhances the visibility
and accessibility of biosamples for research, addressing the
growing demand for human biosamples and associated data in
research. It also underscores the need for improvements in
processes beyond IT infrastructure, aiming to advance
biomedical research and similar infrastructure development
in other fields.},
keywords = {Biobanks (Other) / Biomedical research (Other) / Biosamples
(Other) / FAIR data sharing (Other) / Feasibility search
(Other) / Federated system (Other) / IT infrastructure
(Other) / Software tools (Other) / Technology development
(Other)},
cin = {BE01 / HD01 / E260},
ddc = {570},
cid = {I:(DE-He78)BE01-20160331 / I:(DE-He78)HD01-20160331 /
I:(DE-He78)E260-20160331},
pnm = {315 - Bildgebung und Radioonkologie (POF4-315)},
pid = {G:(DE-HGF)POF4-315},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:39106671},
doi = {10.1016/j.compbiomed.2024.108941},
url = {https://inrepo02.dkfz.de/record/292102},
}