TY - JOUR
T1 - The Information Technology (IT) Infrastructure of the Multicenter Archipelago of Ovarian Cancer Research Biobank
T2 - A Potential Blueprint for Other Biobanks
AU - Zelisse, Hein S.
AU - de Ridder, Sander
AU - van Gent, Mignon D.J.M.
AU - Mom, Constantijne H.
AU - Wisman, G. Bea A.
AU - Roes, Eva Maria
AU - Reyners, Anna K.L.
AU - Piek, Jurgen M.
AU - Nieuwenhuyzen-De Boer, Gatske M.
AU - Lok, Christianne A.R.
AU - de Kroon, Cornelis D.
AU - Kooreman, Loes F.S.
AU - Janssen, Marc Jan
AU - Jansen, Maurice PHM
AU - Horlings, Hugo M.
AU - Collée, Margriet
AU - Broeks, Annegien
AU - Boere, Ingrid A.
AU - Bart, Joost
AU - van Altena, Anne M.
AU - Heeling, Marlou
AU - Stoter, I. Matthijs
AU - Voorham, Quirinus J.
AU - van de Vijver, Marc J.
AU - Dijk, Frederike
AU - Belien, Jeroen A.M.
AU - Archipelago of Ovarian Cancer Research Consortium
N1 - Funding Information:
This work was supported by Dutch Cancer Society [grant number 11774].
Publisher Copyright:
Copyright 2024, Mary Ann Liebert, Inc., publishers.
PY - 2024/12/1
Y1 - 2024/12/1
N2 - Objective: Biobanks play a crucial role in fundamental and translational research by storing valuable biomaterials and data for future analyses. However, the design of their information technology (IT) infrastructures is often customized to specific requirements, thereby lacking the ability to be used for biobanks comprising other (types of) diseases. This results in substantial costs, time, and efforts for each new biobank project. The Dutch multicenter Archipelago of Ovarian Cancer Research (AOCR) biobank has developed an innovative, reusable IT infrastructure capable of adaptation to various biobanks, thereby enabling cost-effective and efficient implementation and management of biobank IT systems. Methods and Results: The AOCR IT infrastructure incorporates preexisting biobank software, mainly managed by Health-RI. The web-based registration tool Ldot is used for secure storage and pseudonymization of patient data. Clinicopathological data are retrieved from the Netherlands Cancer Registry and the Dutch nationwide pathology databank (Palga), both established repositories, reducing administrative workload and ensuring high data quality. Metadata of collected biomaterials are stored in the OpenSpecimen system. For digital pathology research, a hematoxylin and eosin-stained slide from each patient’s tumor is digitized and uploaded to Slide Score. Furthermore, adhering to the Findable, Accessible, Interoperable, and Reusable (FAIR) principles, genomic data derived from the AOCR samples are stored in cBioPortal. Conclusion: The IT infrastructure of the AOCR biobank represents a new standard for biobanks, offering flexibility to handle diverse diseases and types of biomaterials. This infrastructure bypasses the need for disease-specific, custom-built software, thereby being cost- and time-effective while ensuring data quality and legislative compliance. The adaptability of this infrastructure highlights its potential to serve as a blueprint for the development of IT infrastructures in both new and existing biobanks.
AB - Objective: Biobanks play a crucial role in fundamental and translational research by storing valuable biomaterials and data for future analyses. However, the design of their information technology (IT) infrastructures is often customized to specific requirements, thereby lacking the ability to be used for biobanks comprising other (types of) diseases. This results in substantial costs, time, and efforts for each new biobank project. The Dutch multicenter Archipelago of Ovarian Cancer Research (AOCR) biobank has developed an innovative, reusable IT infrastructure capable of adaptation to various biobanks, thereby enabling cost-effective and efficient implementation and management of biobank IT systems. Methods and Results: The AOCR IT infrastructure incorporates preexisting biobank software, mainly managed by Health-RI. The web-based registration tool Ldot is used for secure storage and pseudonymization of patient data. Clinicopathological data are retrieved from the Netherlands Cancer Registry and the Dutch nationwide pathology databank (Palga), both established repositories, reducing administrative workload and ensuring high data quality. Metadata of collected biomaterials are stored in the OpenSpecimen system. For digital pathology research, a hematoxylin and eosin-stained slide from each patient’s tumor is digitized and uploaded to Slide Score. Furthermore, adhering to the Findable, Accessible, Interoperable, and Reusable (FAIR) principles, genomic data derived from the AOCR samples are stored in cBioPortal. Conclusion: The IT infrastructure of the AOCR biobank represents a new standard for biobanks, offering flexibility to handle diverse diseases and types of biomaterials. This infrastructure bypasses the need for disease-specific, custom-built software, thereby being cost- and time-effective while ensuring data quality and legislative compliance. The adaptability of this infrastructure highlights its potential to serve as a blueprint for the development of IT infrastructures in both new and existing biobanks.
KW - biobank
KW - blueprint
KW - information technology (IT) infrastructure
KW - ovarian cancer
KW - research infrastructure
U2 - 10.1089/bio.2023.0118
DO - 10.1089/bio.2023.0118
M3 - Article
SN - 1947-5535
VL - 22
SP - 568
EP - 577
JO - Biopreservation and Biobanking
JF - Biopreservation and Biobanking
IS - 6
ER -