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doi:10.22028/D291-39832
Titel: | Enabling ad-hoc reuse of private data repositories through schema extraction |
VerfasserIn: | Gleim, Lars Christoph Karim, Md Rezaul Zimmermann, Lukas Kohlbacher, Oliver Stenzhorn, Holger Decker, Stefan Beyan, Oya |
Sprache: | Englisch |
Titel: | Journal of biomedical semantics |
Bandnummer: | 11 |
Heft: | 1 |
Verlag/Plattform: | BioMed Central |
Erscheinungsjahr: | 2020 |
Freie Schlagwörter: | Semantic web Linked data RDF SPARQL Schema extraction Privacy Data access Distributed systems Query design Personal health train FAIR data |
DDC-Sachgruppe: | 610 Medizin, Gesundheit |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Sharing sensitive data across organizational boundaries is often significantly limited by legal and ethical restrictions. Regulations such as the EU General Data Protection Rules (GDPR) impose strict requirements concerning the protection of personal and privacy sensitive data. Therefore new approaches, such as the Personal Health Train initiative, are emerging to utilize data right in their original repositories, circumventing the need to transfer data.Circumventing limitations of previous systems, this paper proposes a configurable and automated schema extraction and publishing approach, which enables ad-hoc SPARQL query formulation against RDF triple stores without requiring direct access to the private data. The approach is compatible with existing Semantic Web-based technologies and allows for the subsequent execution of such queries in a safe setting under the data provider’s control. Evaluation with four distinct datasets shows that a configurable amount of concise and task-relevant schema, closely describing the structure of the underlying data, was derived, enabling the schema introspection-assisted authoring of SPARQL queries. Automatically extracting and publishing data schema can enable the introspection-assisted creation of data selection and integration queries. In conjunction with the presented system architecture, this approach can enable reuse of data from private repositories and in settings where agreeing upon a shared schema and encoding a priori is infeasible. As such, it could provide an important step towards reuse of data from previously inaccessible sources and thus towards the proliferation of data-driven methods in the biomedical domain. |
DOI der Erstveröffentlichung: | 10.1186/s13326-020-00223-z |
URL der Erstveröffentlichung: | https://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-020-00223-z |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-398321 hdl:20.500.11880/35874 http://dx.doi.org/10.22028/D291-39832 |
ISSN: | 2041-1480 |
Datum des Eintrags: | 23-Mai-2023 |
Fakultät: | M - Medizinische Fakultät |
Fachrichtung: | M - Medizinische Biometrie, Epidemiologie und medizinische Informatik |
Professur: | M - Prof. Dr. Stefan Wagenpfeil |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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s13326-020-00223-z.pdf | 1,38 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons