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Alkhatib R, Gaede KI. Data Management in Biobanking: Strategies, Challenges, and Future Directions. BIOTECH 2024; 13:34. [PMID: 39311336 PMCID: PMC11417763 DOI: 10.3390/biotech13030034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Revised: 08/23/2024] [Accepted: 08/31/2024] [Indexed: 09/26/2024] Open
Abstract
Biobanking plays a pivotal role in biomedical research by providing standardized processing, precise storing, and management of biological sample collections along with the associated data. Effective data management is a prerequisite to ensure the integrity, quality, and accessibility of these resources. This review provides a current landscape of data management in biobanking, discussing key challenges, existing strategies, and potential future directions. We explore multiple aspects of data management, including data collection, storage, curation, sharing, and ethical considerations. By examining the evolving technologies and methodologies in biobanking, we aim to provide insights into addressing the complexities and maximizing the utility of biobank data for research and clinical applications.
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Affiliation(s)
- Ramez Alkhatib
- Biomaterial Bank Nord, Research Center Borstel Leibniz Lung Center, Parkallee 35, 23845 Borstel, Germany;
- German Centre for Lung Research (DZL), Airway Research Centre North (ARCN), 22927 Großhansdorf, Germany
| | - Karoline I. Gaede
- Biomaterial Bank Nord, Research Center Borstel Leibniz Lung Center, Parkallee 35, 23845 Borstel, Germany;
- German Centre for Lung Research (DZL), Airway Research Centre North (ARCN), 22927 Großhansdorf, Germany
- PopGen 2.0 Biobanking Network (P2N), University Hospital Schleswig-Holstein, Campus Kiel, Kiel University, 24105 Kiel, Germany
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Engels C, Kern J, Dudová Z, Deppenwiese N, Kiel A, Kroll B, Kussel T, Schüttler C, Tomášik R, Hummel M, Lablans M. The sample locator: A federated search tool for biosamples and associated data in Europe using HL7 FHIR. Comput Biol Med 2024; 180:108941. [PMID: 39106671 DOI: 10.1016/j.compbiomed.2024.108941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 06/28/2024] [Accepted: 07/23/2024] [Indexed: 08/09/2024]
Abstract
BACKGROUND 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. METHODS 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). RESULTS 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. CONCLUSION 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.
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Affiliation(s)
- Cecilia Engels
- German Biobank Node (GBN), Charité - Universitätsmedizin Berlin, Berlin, Germany; German Cancer Consortium (DKTK), DKFZ, Heidelberg, Germany; Charité University Hospital Berlin, Berlin, Germany.
| | - Jori Kern
- German Cancer Consortium (DKTK), DKFZ, Heidelberg, Germany; Federated Information Systems, German Cancer Research Centre (DKFZ), Heidelberg, Germany; Complex Medical Informatics, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Zdenka Dudová
- German Biobank Node (GBN), Charité - Universitätsmedizin Berlin, Berlin, Germany; Charité University Hospital Berlin, Berlin, Germany
| | - Noemi Deppenwiese
- Medical Centre for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Alexander Kiel
- German Cancer Consortium (DKTK), DKFZ, Heidelberg, Germany; Federated Information Systems, German Cancer Research Centre (DKFZ), Heidelberg, Germany; Complex Medical Informatics, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Leipzig Research Centre for Civilisation Diseases, University of Leipzig, Leipzig, Germany; Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Björn Kroll
- IT Centre for Clinical Research, University of Lübeck, Lübeck, Germany
| | - Tobias Kussel
- German Cancer Consortium (DKTK), DKFZ, Heidelberg, Germany; Federated Information Systems, German Cancer Research Centre (DKFZ), Heidelberg, Germany; Complex Medical Informatics, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Christina Schüttler
- Medical Centre for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany; Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | | | - Michael Hummel
- German Biobank Node (GBN), Charité - Universitätsmedizin Berlin, Berlin, Germany; German Cancer Consortium (DKTK), DKFZ, Heidelberg, Germany; Charité University Hospital Berlin, Berlin, Germany
| | - Martin Lablans
- German Cancer Consortium (DKTK), DKFZ, Heidelberg, Germany; Federated Information Systems, German Cancer Research Centre (DKFZ), Heidelberg, Germany; Complex Medical Informatics, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; DKFZ Hector Cancer Institute at the University Medical Center Mannheim, Germany; Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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Eklund N, Engels C, Neumann M, Strug A, van Enckevort E, Baber R, Bloemers M, Debucquoy A, van der Lugt A, Müller H, Parkkonen L, Quinlan PR, Urwin E, Holub P, Silander K, Anton G. Update of the Minimum Information About BIobank Data Sharing (MIABIS) Core Terminology to the 3 rd Version. Biopreserv Biobank 2024; 22:346-362. [PMID: 38497765 DOI: 10.1089/bio.2023.0074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2024] Open
Abstract
Introduction: The Minimum Information About BIobank Data Sharing (MIABIS) is a biobank-specific terminology enabling the sharing of biobank-related data for different purposes across a wide range of database implementations. After 4 years in use and with the first version of the individual-level MIABIS component Sample, Sample donor, and Event, it was necessary to revise the terminology, especially to include biobanks that work more in the data domain than with samples. Materials & Methods: Nine use-cases representing different types of biobanks, studies, and networks participated in the development work. They represent types of data, specific sample types, or levels of organization that were not included earlier in MIABIS. To support our revision of the Biobank entity, we conducted a survey of European biobanks to chart the services they provide. An important stakeholder group for biobanks include researchers as the main users of biobanks. To be able to render MIABIS more researcher-friendly, we collected different sample/data requests to analyze the terminology adjustment needs in detail. During the update process, the Core terminology was iteratively reviewed by a large group of experts until a consensus was reached. Results: With this update, MIABIS was adjusted to encompass data-driven biobanks and to include data collections, while also describing the services and capabilities biobanks offer to their users, besides the retrospective samples. The terminology was also extended to accommodate sample and data collections of nonhuman origin. Additionally, a set of organizational attributes was compiled to describe networks. Discussion: The usability of MIABIS Core v3 was increased by extending it to cover more topics of the biobanking domain. Additionally, the focus was on a more general terminology and harmonization of attributes with the individual-level entities Sample, Sample donor, and Event to keep the overall terminology minimal. With this work, the internal semantics of the MIABIS terminology was improved.
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Affiliation(s)
- Niina Eklund
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Cäcilia Engels
- German Biobank Node (GBN), Charité - Universitätsmedizin Berlin, Berlin, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Charité University Hospital Berlin, Berlin, Germany
| | | | - Andrzej Strug
- Department of Medical Laboratory Diagnostics, Medical University of Gdansk, Gdansk, Poland
| | - Esther van Enckevort
- University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ronny Baber
- Leipzig Medical Biobank, Leipzig, Germany and Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig Medical Center, Leipzig, Germany
| | - Margreet Bloemers
- ZonMw Organisation for Health Research and Development, the Hague, The Netherlands
| | | | | | | | - Lauri Parkkonen
- Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
| | | | - Esmond Urwin
- University of Nottingham, Nottingham, United Kingdom
| | | | - Kaisa Silander
- Finnish Institute for Health and Welfare, Helsinki, Finland
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Schüttler C, Zerlik M, Gruendner J, Köhler T, Rosenau L, Prokosch HU, Sedlmayr B. Empowering researchers to query medical data and biospecimens by ensuring appropriate usability: Evaluation study of the ABIDE_MI feasibility tool (Preprint). JMIR Hum Factors 2022; 10:e43782. [PMID: 37074765 PMCID: PMC10157450 DOI: 10.2196/43782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 02/10/2023] [Accepted: 02/26/2023] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND The Aligning Biobanking and Data Integration Centers Efficiently project aims to harmonize technologies and governance structures of German university hospitals and their biobanks to facilitate searching for patient data and biospecimens. The central element will be a feasibility tool for researchers to query the availability of samples and data to determine the feasibility of their study project. OBJECTIVE The objectives of the study were as follows: an evaluation of the overall user interface usability of the feasibility tool, the identification of critical usability issues, comprehensibility of the underlying ontology operability, and analysis of user feedback on additional functionalities. From these, recommendations for quality-of-use optimization, focusing on more intuitive usability, were derived. METHODS To achieve the study goal, an exploratory usability test consisting of 2 main parts was conducted. In the first part, the thinking aloud method (test participants express their thoughts aloud throughout their use of the tool) was complemented by a quantitative questionnaire. In the second part, the interview method was combined with supplementary mock-ups to collect users' opinions on possible additional features. RESULTS The study cohort rated global usability of the feasibility tool based on the System Usability Scale with a good score of 81.25. The tasks assigned posed certain challenges. No participant was able to solve all tasks correctly. A detailed analysis showed that this was mostly because of minor issues. This impression was confirmed by the recorded statements, which described the tool as intuitive and user friendly. The feedback also provided useful insights regarding which critical usability problems occur and need to be addressed promptly. CONCLUSIONS The findings indicate that the prototype of the Aligning Biobanking and Data Integration Centers Efficiently feasibility tool is headed in the right direction. Nevertheless, we see potential for optimization primarily in the display of the search functions, the unambiguous distinguishability of criteria, and the visibility of their associated classification system. Overall, it can be stated that the combination of different tools used to evaluate the feasibility tool provided a comprehensive picture of its usability.
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Affiliation(s)
| | - Maria Zerlik
- Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Julian Gruendner
- Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Thomas Köhler
- Federated Information Systems, German Cancer Research Center, Heidelberg, Germany
- Complex Data Processing in Medical Informatics, Medical Faculty Mannheim, Mannheim, Germany
| | - Lorenz Rosenau
- IT Center for Clinical Research, University of Lübeck, Lübeck, Germany
| | - Hans-Ulrich Prokosch
- Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Brita Sedlmayr
- Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
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Schüttler C, Prokosch HU, Hummel M, Lablans M, Kroll B, Engels C. The journey to establishing an IT-infrastructure within the German Biobank Alliance. PLoS One 2021; 16:e0257632. [PMID: 34551019 PMCID: PMC8457464 DOI: 10.1371/journal.pone.0257632] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 09/04/2021] [Indexed: 11/19/2022] Open
Abstract
Background Biobanks ensure the long-term storage and accessibility of biospecimens and corresponding data sets. Thus, they form the foundation for many research projects which may contribute to improving medical care. With the establishment of the German Biobank Node and Alliance, expertise in biobanking is bundled and strengthened. An important component within this research infrastructure is the set-up of an information technology (IT) network for allowing feasibility requests across individual biobanks. Objective We aim to describe relevant aspects that have shaped the journey to interconnect biobanks, to enhance their visibility within the research-community, to harmonize data, and to enable feasibility searches to support access to available data and biosamples. Methods To achieve this task, we resorted to a wide variety of methods: we ran a requirement analysis, decided on the mode of operation for the federated team of IT-developers and on the development approach itself, took related national and international initiatives into account, and concluded with evaluations of the developed software artefacts and the operation of the entire chain of applications. Results We drew an IT framework including all heterogeneous data aspects derived from our requirement analysis and developed a comprehensive IT infrastructure. The successful implementation benefited from a smooth interaction of a federated IT team distributed across all participating sites that was even able to manage a major technology change mid-project. Authentication and project management services from associated partners could be integrated and the graphic user interface for an intuitive search tool for biospecimens was designed iteratively. The developed code is open source to ensure sustainability and the local implementation is concluded and functioning. The evaluation of the components was positive. Conclusions The entire project had given ample opportunity for challenges, predictable and unpredictable—from the mode of operation to changing some of the initial ideas. We learned our lessons concerning personnel, budget planning and technical as well as manual monitoring as well as some requirements arising only during the process of the project. Nevertheless, we can here report a success story of a network infrastructure, highly agile and much easier in local installation than initially anticipated.
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Affiliation(s)
- Christina Schüttler
- Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Hans-Ulrich Prokosch
- Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Michael Hummel
- German Biobank Node, Charité -Universitätsmedizin Berlin, Berlin, Germany
| | - Martin Lablans
- Federated Information Systems, German Cancer Research Center, Heidelberg, Germany
- University Medical Center Mannheim, Mannheim, Germany
| | - Björn Kroll
- IT Center for Clinical Research, University of Lübeck, Lübeck, Germany
| | - Cäcilia Engels
- German Biobank Node, Charité -Universitätsmedizin Berlin, Berlin, Germany
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Schüttler C, Prokosch HU, Sedlmayr M, Sedlmayr B. Evaluation of Three Feasibility Tools for Identifying Patient Data and Biospecimen Availability: Comparative Usability Study. JMIR Med Inform 2021; 9:e25531. [PMID: 34287211 PMCID: PMC8339981 DOI: 10.2196/25531] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/18/2021] [Accepted: 05/17/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND To meet the growing importance of real-word data analysis, clinical data and biosamples must be timely made available. Feasibility platforms are often the first contact point for determining the availability of such data for specific research questions. Therefore, a user-friendly interface should be provided to enable access to this information easily. The German Medical Informatics Initiative also aims to establish such a platform for its infrastructure. Although some of these platforms are actively used, their tools still have limitations. Consequently, the Medical Informatics Initiative consortium MIRACUM (Medical Informatics in Research and Care in University Medicine) committed itself to analyzing the pros and cons of existing solutions and to designing an optimized graphical feasibility user interface. OBJECTIVE The aim of this study is to identify the system that is most user-friendly and thus forms the best basis for developing a harmonized tool. To achieve this goal, we carried out a comparative usability evaluation of existing tools used by researchers acting as end users. METHODS The evaluation included three preselected search tools and was conducted as a qualitative exploratory study with a randomized design over a period of 6 weeks. The tools in question were the MIRACUM i2b2 (Informatics for Integrating Biology and the Bedside) feasibility platform, OHDSI's (Observational Health Data Sciences and Informatics) ATLAS, and the Sample Locator of the German Biobank Alliance. The evaluation was conducted in the form of a web-based usability test (usability walkthrough combined with a web-based questionnaire) with participants aged between 26 and 63 years who work as medical doctors. RESULTS In total, 17 study participants evaluated the three tools. The overall evaluation of usability, which was based on the System Usability Scale, showed that the Sample Locator, with a mean System Usability Scale score of 77.03 (SD 20.62), was significantly superior to the other two tools (Wilcoxon test; Sample Locator vs i2b2: P=.047; Sample Locator vs ATLAS: P=.001). i2b2, with a score of 59.83 (SD 25.36), performed significantly better than ATLAS, which had a score of 27.81 (SD 21.79; Wilcoxon test; i2b2 vs ATLAS: P=.005). The analysis of the material generated by the usability walkthrough method confirmed these findings. ATLAS caused the most usability problems (n=66), followed by i2b2 (n=48) and the Sample Locator (n=22). Moreover, the Sample Locator achieved the highest ratings with respect to additional questions regarding satisfaction with the tools. CONCLUSIONS This study provides data to develop a suitable basis for the selection of a harmonized tool for feasibility studies via concrete evaluation and a comparison of the usability of three different types of query builders. The feedback obtained from the participants during the usability test made it possible to identify user problems and positive design aspects of the individual tools and compare them qualitatively.
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Affiliation(s)
- Christina Schüttler
- Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Hans-Ulrich Prokosch
- Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Martin Sedlmayr
- Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Brita Sedlmayr
- Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
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Lin RC, Sacher JC, Ceyssens PJ, Zheng J, Khalid A, Iredell JR. Phage Biobank: Present Challenges and Future Perspectives. Curr Opin Biotechnol 2021; 68:221-230. [PMID: 33581425 DOI: 10.1016/j.copbio.2020.12.018] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/14/2020] [Accepted: 12/23/2020] [Indexed: 11/24/2022]
Abstract
After a century of use in human infection, the preparation and administration of therapeutic bacteriophages (phages) still relies on ad hoc partnerships of researchers, biotech companies, clinicians and regulators. There is a clear need to improve the reproducibility, safety and speed of the provision of suitable phages. Here we discuss the specific characteristics and challenges of a sustainable phage biobank and, as we build a national consortium aimed at delivering phage therapeutics, suggest a roadmap toward national biobanking and phage therapy initiatives using the Australian context as a model.
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Affiliation(s)
- Ruby Cy Lin
- Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, Sydney, Australia; Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, Australia; School of Medical Sciences, University of New South Wales, Sydney, Australia.
| | | | - Pieter-Jan Ceyssens
- Antibiotics and Resistance Unit, The National Reference Centres for Salmonella, Shigella, Listeria, Neisseria and Mycobacteria, Sciensano, Belgium
| | - Jan Zheng
- Phage Directory, Atlanta, Georgia, USA.
| | - Ali Khalid
- Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, Sydney, Australia; Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, Australia
| | - Jonathan R Iredell
- Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, Sydney, Australia; Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, Australia; Westmead Hospital, Western Sydney Local Health District, Sydney, Australia.
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Biobanks for life sciences and personalized medicine: importance of standardization, biosafety, biosecurity, and data management. Curr Opin Biotechnol 2020; 65:45-51. [DOI: 10.1016/j.copbio.2019.12.004] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 12/09/2019] [Indexed: 02/06/2023]
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Schüttler C, Huth V, von Jagwitz-Biegnitz M, Lablans M, Prokosch HU, Griebel L. A Federated Online Search Tool for Biospecimens (Sample Locator): Usability Study. J Med Internet Res 2020; 22:e17739. [PMID: 32663150 PMCID: PMC7463387 DOI: 10.2196/17739] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 04/24/2020] [Accepted: 06/14/2020] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND The German Biobank Alliance (GBA) aims to establish a cross-site biobank network. For this endeavor, the so-called Sample Locator, a federated search tool for biospecimens and related data, has been developed, forming the heart of its information technology (IT) infrastructure. OBJECTIVE To ensure the sustainable use of such a tool, we included researchers as participants in an end user-based usability evaluation. METHODS To develop a prototype ready for evaluation, we needed input from GBA IT experts. Thus, we conducted a 2-day workshop with 8 GBA IT team members. The focus was on the respective steps of a user-centered design process. With the acquired knowledge, the participants designed low-fidelity mock-ups. The main ideas of these mock-ups were discussed, extracted, and summarized into a comprehensive prototype using Microsoft PowerPoint. Furthermore, we created a questionnaire concerning the usability of the prototype, including the System Usability Scale (SUS), questions on negative and positive aspects, and typical tasks to be fulfilled with the tool. Subsequently, the prototype was pretested on the basis of this questionnaire with researchers who have a biobank background. Based on this preliminary work, the usability analysis was ultimately carried out with researchers and the results were evaluated. RESULTS Altogether, 27 researchers familiar with sample requests evaluated the prototype. The analysis of the feedback certified a good usability, given that the Sample Locator prototype was seen as intuitive and user-friendly by 74% (20/27) of the participants. The total SUS score by the 25 persons that completed the questionnaire was 80.4, indicating good system usability. Still, the evaluation provided useful advice on optimization potential (eg, offering a help function). CONCLUSIONS The findings of this usability analysis indicate that the considerations regarding a user-friendly application that have been made in the development process so far strongly coincide with the perception of the study participants. Nevertheless, it was important to engage prospective end users to ensure that the previous development is going in the desired direction and that the Sample Locator will be used in the future. The user comments and suggestions for improvement will be considered in upcoming iterations for refinement.
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Affiliation(s)
- Christina Schüttler
- Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Verena Huth
- German Biobank Node, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Martin Lablans
- Federated Information Systems, German Cancer Research Center, Heidelberg, Germany
- University Medical Center Mannheim, Mannheim, Germany
| | - Hans-Ulrich Prokosch
- Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Lena Griebel
- Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
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Klingler C, von Jagwitz-Biegnitz M, Hartung ML, Hummel M, Specht C. Evaluating the German Biobank Node as Coordinating Institution of the German Biobank Alliance: Engaging with Stakeholders via Survey Research. Biopreserv Biobank 2019; 18:64-72. [PMID: 31859533 DOI: 10.1089/bio.2019.0060] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: The German Biobank Node (GBN) is the central hub for German biobank activities and coordinates the German Biobank Alliance (GBA) to which 11 biobank sites in Germany belong. GBN, in cooperation with designated members of GBA, has developed various services and products for the German biobank community. To ensure that services and products are well aligned with the needs and interests of relevant stakeholders, GBN actively engages with its diverse stakeholder groups through different methods. Important stakeholder groups are the members of GBA who are generally the first users of developed products and services. Methods and Materials: Members of GBA were surveyed anonymously through a web-based application. The survey was sent to all members registered with an internal communication platform. Participants were primarily asked about their experiences with GBN, developed products and services, their wishes for the future of GBN/GBA, and their attitudes toward intensified cooperation on the European level. Answers were analyzed using descriptive statistics and qualitative content analysis. Results: Overall 63 of 110 registered GBA members (response rate of 57%) finished the survey. Participants were overall satisfied with the work of GBN and developed products and services. They also pointed out room for improvement. Participants, for example, proposed to shorten the survey developed for biobanks to engage with their users. They also shared what additional support wishes they had, for example, uniform cost models or use and access policies for the GBA community. Discussion: The survey was helpful to get a good overview of the experiences and attitudes of GBA members before making services and products available to other actors in the German biobank community. GBN will use the feedback to improve its work and to guide future strategy development. Survey research has shown an adequate method to engage with this particular stakeholder group, but further research on choosing methods for stakeholder engagement might be helpful.
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Affiliation(s)
- Corinna Klingler
- QUEST Center for Transforming Biomedical Research, Berlin Institute of Health, Charité Universitätsmedizin Berlin, Berlin, Germany.,German Biobank Node, Charité Universitätsmedizin Berlin, Berlin, Germany
| | | | - Mara Lena Hartung
- German Biobank Node, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Hummel
- German Biobank Node, Charité Universitätsmedizin Berlin, Berlin, Germany.,Central Biobank Charité (ZeBanC), Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Cornelia Specht
- German Biobank Node, Charité Universitätsmedizin Berlin, Berlin, Germany
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Mate S, Kampf M, Rödle W, Kraus S, Proynova R, Silander K, Ebert L, Lablans M, Schüttler C, Knell C, Eklund N, Hummel M, Holub P, Prokosch HU. Pan-European Data Harmonization for Biobanks in ADOPT BBMRI-ERIC. Appl Clin Inform 2019; 10:679-692. [PMID: 31509880 PMCID: PMC6739205 DOI: 10.1055/s-0039-1695793] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background
High-quality clinical data and biological specimens are key for medical research and personalized medicine. The Biobanking and Biomolecular Resources Research Infrastructure-European Research Infrastructure Consortium (BBMRI-ERIC) aims to facilitate access to such biological resources. The accompanying ADOPT BBMRI-ERIC project kick-started BBMRI-ERIC by collecting colorectal cancer data from European biobanks.
Objectives
To transform these data into a common representation, a uniform approach for data integration and harmonization had to be developed. This article describes the design and the implementation of a toolset for this task.
Methods
Based on the semantics of a metadata repository, we developed a lexical bag-of-words matcher, capable of semiautomatically mapping local biobank terms to the central ADOPT BBMRI-ERIC terminology. Its algorithm supports fuzzy matching, utilization of synonyms, and sentiment tagging. To process the anonymized instance data based on these mappings, we also developed a data transformation application.
Results
The implementation was used to process the data from 10 European biobanks. The lexical matcher automatically and correctly mapped 78.48% of the 1,492 local biobank terms, and human experts were able to complete the remaining mappings. We used the expert-curated mappings to successfully process 147,608 data records from 3,415 patients.
Conclusion
A generic harmonization approach was created and successfully used for cross-institutional data harmonization across 10 European biobanks. The software tools were made available as open source.
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Affiliation(s)
- Sebastian Mate
- Medical Centre for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Marvin Kampf
- Medical Centre for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Wolfgang Rödle
- Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Stefan Kraus
- Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Rumyana Proynova
- Medical Informatics in Translational Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Kaisa Silander
- Genomics and Biobank Unit, Finnish National Institute for Health and Welfare, Helsinki, Finland
| | - Lars Ebert
- Federated Information Systems, German Cancer Research Center, Heidelberg, Germany
| | - Martin Lablans
- Federated Information Systems, German Cancer Research Center, Heidelberg, Germany
| | - Christina Schüttler
- Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Christian Knell
- Medical Centre for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Niina Eklund
- Genomics and Biobank Unit, Finnish National Institute for Health and Welfare, Helsinki, Finland
| | - Michael Hummel
- Institute of Pathology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Biobanking and BioMolecular Resources Research Infrastructure (BBMRI-ERIC), Graz, Austria
| | - Petr Holub
- Biobanking and BioMolecular Resources Research Infrastructure (BBMRI-ERIC), Graz, Austria
| | - Hans-Ulrich Prokosch
- Medical Centre for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany.,Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
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