PUBLICATION
PIROL: Cross-domain Research Data Publishing with Linked Data technologies
Type
Conference Paper
Year
2019
Authors
Research Area
Intelligent Information Management
Event
31st International Conference on Advanced Information Systems Engineering
Published in
Proceedings of the Doctoral Consortium Papers Presented at the 31st International Conference on Advanced Information Systems Engineering (CAiSE 2019)
Download
Abstract
Effective research data management for traceability preservation and reuse is an important part of good scientific practice and is already under discussion over a long period of time. However, the digital transformation in science also led to new challenges for researchers on how to describe publish and share their research data. This includes the interdisciplinary annotation and discovery of research data, data privacy issues in exposure of data with trends to decentralized platforms as well as sophisticated automatisms to ensure data quality and compliance aspects.
Only limited tool support exists for these processes so far. The following research project will use Linked Data principles to improve the current situation in this problem domain. It will first focus on components and services that assist researchers in the annotation process of their research data. Next, it will investigate how this research data can be stored and discovered in decentralized multi-user scenarios to allow data reuse under respect of data privacy concerns. In a third step, meta data descriptions will be used to apply automated data conformance and quality assessment operations on scientific data.
Reference
Langer, André; Gaedke, Martin: PIROL: Cross-domain Research Data Publishing with Linked Data technologies. Proceedings of the Doctoral Consortium Papers Presented at the 31st International Conference on Advanced Information Systems Engineering (CAiSE 2019), pp. 43-51, 2019.
