The exchange, dissemination, and reuse of biological specimens and data have become essentialfor life sciences research. This requires standards that enable cross-organizational documentation, traceability, and tracking of data and its corresponding metadata. Thus, data provenance, or the lineage of data, is an important aspect of data management in any information system integrating data from different sources [1]. It provides crucial information about the origin, transformation, and accountability of data, which is essential for ensuring trustworthiness, transparency, and quality of healthcare data [2]. For biological material and derived data, a novel ISO standard was recently introduced that specifies a general concept for a provenance information model for biological material and data and requirements for provenance data interoperability and serialization [3,4]. However, a specific standard for health data provenance is currently missing. In recent years, there has been a growing need for developing a minimal core data set for representing provenance information in health information systems. This paper presents a Provenance Core Data Set (PCDS), a generalized data model that aims to provide a set of attributes for describing data provenance in health information systems and beyond.
SEEK ID: https://publications.h-its.org/publications/1837
Research Groups: Scientific Databases and Visualisation
Publication type: Journal
Journal: Proceedings of the Conference on Research Data Infrastructure
Citation: Proc Conf Res Data Infrastr 1
Date Published: 7th Sep 2023
URL: http://dx.doi.org/10.52825/cordi.v1i.347
Registered Mode: by DOI
Views: 1743
Created: 2nd May 2024 at 17:59
Last updated: 2nd May 2024 at 18:03
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