Automatic Evaluation of Metadata Quality in ISO 11179-3 Conformant Healthcare Metadata Repositories

Noemi Deppenwiese; Ann-Kristin Kock-Schoppenhauer; Hannes Ulrich; Petra Duhm-Harbeck; Josef Ingenerf

doi:10.3205/19gmds036

Automatic Evaluation of Metadata Quality in ISO 11179-3 Conformant Healthcare Metadata Repositories

Noemi Deppenwiese, Ann-Kristin Kock-Schoppenhauer, Hannes Ulrich, Petra Duhm-Harbeck, Josef Ingenerf

Institute of Medical Informatics

Abstract

The expected benefit of well-maintained metadata repositories lies in facilitating data integration and improving quality, as required data elements do not have to be re-specified, but existing high-quality predefined elements can be reused [1]. To yield the expected benefit, the included metadata must have sufficient quality. The manual verification of metadata elements is time-consuming and biased. Our aim is to apply quality criteria to metadata in healthcare and medical research settings and to develop computable validations. In order to be easily adaptable to new metadata repository systems, the quality criteria should support the standardized ISO 11179-3 metamodel [2], [3] which can be mapped to other metadata standards used in clinical research [1].
...

Original language	English
DOIs	https://doi.org/10.3205/19gmds036
Publication status	Published - 06.09.2019
Event	64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. - Dortmund, Germany Duration: 08.09.2019 → 11.09.2019

Conference

Conference	64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V.
Abbreviated title	GMDS 2019
Country/Territory	Germany
City	Dortmund
Period	08.09.19 → 11.09.19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3205/19gmds036

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Deppenwiese, N., Kock-Schoppenhauer, A-K., Ulrich, H., Duhm-Harbeck, P., & Ingenerf, J. (2019). Automatic Evaluation of Metadata Quality in ISO 11179-3 Conformant Healthcare Metadata Repositories. Paper presented at 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. , Dortmund, North Rhine-Westphalia, Germany. https://doi.org/10.3205/19gmds036

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abstract = "The expected benefit of well-maintained metadata repositories lies in facilitating data integration and improving quality, as required data elements do not have to be re-specified, but existing high-quality predefined elements can be reused [1]. To yield the expected benefit, the included metadata must have sufficient quality. The manual verification of metadata elements is time-consuming and biased. Our aim is to apply quality criteria to metadata in healthcare and medical research settings and to develop computable validations. In order to be easily adaptable to new metadata repository systems, the quality criteria should support the standardized ISO 11179-3 metamodel [2], [3] which can be mapped to other metadata standards used in clinical research [1]....",

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Deppenwiese, N, Kock-Schoppenhauer, A-K, Ulrich, H, Duhm-Harbeck, P & Ingenerf, J 2019, 'Automatic Evaluation of Metadata Quality in ISO 11179-3 Conformant Healthcare Metadata Repositories', Paper presented at 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. , Dortmund, Germany, 08.09.19 - 11.09.19. https://doi.org/10.3205/19gmds036

Automatic Evaluation of Metadata Quality in ISO 11179-3 Conformant Healthcare Metadata Repositories. / Deppenwiese, Noemi; Kock-Schoppenhauer, Ann-Kristin; Ulrich, Hannes et al.
2019. Paper presented at 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. , Dortmund, North Rhine-Westphalia, Germany.

Research output: Contribution to conference › Conference Papers › peer-review

TY - CONF

T1 - Automatic Evaluation of Metadata Quality in ISO 11179-3 Conformant Healthcare Metadata Repositories

AU - Deppenwiese, Noemi

AU - Kock-Schoppenhauer, Ann-Kristin

AU - Ulrich, Hannes

AU - Duhm-Harbeck, Petra

AU - Ingenerf, Josef

PY - 2019/9/6

Y1 - 2019/9/6

N2 - The expected benefit of well-maintained metadata repositories lies in facilitating data integration and improving quality, as required data elements do not have to be re-specified, but existing high-quality predefined elements can be reused [1]. To yield the expected benefit, the included metadata must have sufficient quality. The manual verification of metadata elements is time-consuming and biased. Our aim is to apply quality criteria to metadata in healthcare and medical research settings and to develop computable validations. In order to be easily adaptable to new metadata repository systems, the quality criteria should support the standardized ISO 11179-3 metamodel [2], [3] which can be mapped to other metadata standards used in clinical research [1]....

AB - The expected benefit of well-maintained metadata repositories lies in facilitating data integration and improving quality, as required data elements do not have to be re-specified, but existing high-quality predefined elements can be reused [1]. To yield the expected benefit, the included metadata must have sufficient quality. The manual verification of metadata elements is time-consuming and biased. Our aim is to apply quality criteria to metadata in healthcare and medical research settings and to develop computable validations. In order to be easily adaptable to new metadata repository systems, the quality criteria should support the standardized ISO 11179-3 metamodel [2], [3] which can be mapped to other metadata standards used in clinical research [1]....

U2 - 10.3205/19gmds036

DO - 10.3205/19gmds036

M3 - Conference Papers

T2 - 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V.

Y2 - 8 September 2019 through 11 September 2019

ER -

Deppenwiese N, Kock-Schoppenhauer A-K, Ulrich H, Duhm-Harbeck P, Ingenerf J. Automatic Evaluation of Metadata Quality in ISO 11179-3 Conformant Healthcare Metadata Repositories. 2019. Paper presented at 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. , Dortmund, North Rhine-Westphalia, Germany. doi: 10.3205/19gmds036

Automatic Evaluation of Metadata Quality in ISO 11179-3 Conformant Healthcare Metadata Repositories

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