A smart mapping editor for standardised data transformation

Hannes Ulrich; Sebastian Germer; Ann Kristin Kock-Schoppenhauer; Jori Kern; Martin Lablans; Josef Ingenerf

doi:10.3233/SHTI200354

A smart mapping editor for standardised data transformation

Hannes Ulrich^*, Sebastian Germer, Ann Kristin Kock-Schoppenhauer, Jori Kern, Martin Lablans, Josef Ingenerf

^*Korrespondierende/r Autor/-in für diese Arbeit

Deutsches Krebsforschungszentrum

Abstract

The integration of heterogeneous healthcare data sources is a necessary process to enable the secondary use valuable information in clinical research. Data integration is time-consuming for data stewards. The transformation using predefined rules for data harmonization can reduce the time-consuming and error-prone work and ease the data integration at various sites. In our study, we examined various script(ing) languages to find the most suitable candidate for definition of transformation rules and implement a smart editor which supports the data stewards in selecting rules reusing them. Thereby, it also provides an automatic and seamless documentation to strengthen the reliability of the defined transformation rules.

Originalsprache	Englisch
Titel	Volume 270: Digital Personalized Health and Medicine
Redakteure/-innen	Louise B. Pape-Haugaard, Christian Lovis, Inge Cort Madsen, Patrick Weber, Per Hostrup Nielsen, Philip Scott
Seitenumfang	2
Band	270
Herausgeber (Verlag)	IOS Press
Erscheinungsdatum	16.06.2020
Seiten	1185 - 1186
ISBN (Print)	978-1-64368-082-8
ISBN (elektronisch)	978-1-64368-083-5
DOIs	https://doi.org/10.3233/SHTI200354
Publikationsstatus	Veröffentlicht - 16.06.2020
Veranstaltung	30th Medical Informatics Europe Conference - Geneva's International Conference Center, Geneva, Schweiz Dauer: 28.04.2020 → 01.05.2020 Konferenznummer: 161256

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10.3233/SHTI200354

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Ulrich, H., Germer, S., Kock-Schoppenhauer, A. K., Kern, J., Lablans, M., & Ingenerf, J. (2020). A smart mapping editor for standardised data transformation. in L. B. Pape-Haugaard, C. Lovis, I. Cort Madsen, P. Weber, P. H. Nielsen, & P. Scott (Hrsg.), Volume 270: Digital Personalized Health and Medicine (Band 270, S. 1185 - 1186). (Studies in Health Technology and Informatics; Band 270). IOS Press. https://doi.org/10.3233/SHTI200354

Ulrich, Hannes ; Germer, Sebastian ; Kock-Schoppenhauer, Ann Kristin et al. / A smart mapping editor for standardised data transformation. Volume 270: Digital Personalized Health and Medicine. Hrsg. / Louise B. Pape-Haugaard ; Christian Lovis ; Inge Cort Madsen ; Patrick Weber ; Per Hostrup Nielsen ; Philip Scott. Band 270 IOS Press, 2020. S. 1185 - 1186 (Studies in Health Technology and Informatics).

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abstract = "The integration of heterogeneous healthcare data sources is a necessary process to enable the secondary use valuable information in clinical research. Data integration is time-consuming for data stewards. The transformation using predefined rules for data harmonization can reduce the time-consuming and error-prone work and ease the data integration at various sites. In our study, we examined various script(ing) languages to find the most suitable candidate for definition of transformation rules and implement a smart editor which supports the data stewards in selecting rules reusing them. Thereby, it also provides an automatic and seamless documentation to strengthen the reliability of the defined transformation rules.",

author = "Hannes Ulrich and Sebastian Germer and Kock-Schoppenhauer, {Ann Kristin} and Jori Kern and Martin Lablans and Josef Ingenerf",

note = "Publisher Copyright: {\textcopyright} 2020 European Federation for Medical Informatics (EFMI) and IOS Press. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 30th Medical Informatics Europe Conference , MIE 2020 ; Conference date: 28-04-2020 Through 01-05-2020",

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Ulrich, H, Germer, S, Kock-Schoppenhauer, AK, Kern, J, Lablans, M & Ingenerf, J 2020, A smart mapping editor for standardised data transformation. in LB Pape-Haugaard, C Lovis, I Cort Madsen, P Weber, PH Nielsen & P Scott (Hrsg.), Volume 270: Digital Personalized Health and Medicine. Bd. 270, Studies in Health Technology and Informatics, Bd. 270, IOS Press, S. 1185 - 1186, 30th Medical Informatics Europe Conference , Geneva, Schweiz, 28.04.20. https://doi.org/10.3233/SHTI200354

A smart mapping editor for standardised data transformation. / Ulrich, Hannes; Germer, Sebastian; Kock-Schoppenhauer, Ann Kristin et al.
Volume 270: Digital Personalized Health and Medicine. Hrsg. / Louise B. Pape-Haugaard; Christian Lovis; Inge Cort Madsen; Patrick Weber; Per Hostrup Nielsen; Philip Scott. Band 270 IOS Press, 2020. S. 1185 - 1186 (Studies in Health Technology and Informatics; Band 270).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

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AB - The integration of heterogeneous healthcare data sources is a necessary process to enable the secondary use valuable information in clinical research. Data integration is time-consuming for data stewards. The transformation using predefined rules for data harmonization can reduce the time-consuming and error-prone work and ease the data integration at various sites. In our study, we examined various script(ing) languages to find the most suitable candidate for definition of transformation rules and implement a smart editor which supports the data stewards in selecting rules reusing them. Thereby, it also provides an automatic and seamless documentation to strengthen the reliability of the defined transformation rules.

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Ulrich H, Germer S, Kock-Schoppenhauer AK, Kern J, Lablans M, Ingenerf J. A smart mapping editor for standardised data transformation. in Pape-Haugaard LB, Lovis C, Cort Madsen I, Weber P, Nielsen PH, Scott P, Hrsg., Volume 270: Digital Personalized Health and Medicine. Band 270. IOS Press. 2020. S. 1185 - 1186. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI200354

A smart mapping editor for standardised data transformation

Abstract

UN SDGs

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