ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data: Provenance Week 2020 Poster

Research output: Contribution to conferencePoster

  • External authors:
  • Rudolf Wittner
  • Petr Holub
  • Jörg Geiger
  • Heimo Müller
  • Elliot Fairweather
  • Luca Pirredu
  • Francesca Frexia
  • Cecilia Mascia
  • Gianluigi Zanetti
  • Hiroki Nakae
  • Caterina Strambio
  • Josh Moore
  • David Grunwald
  • Jason Swedlow

Abstract

Exchange of research data and samples in biomedical research has become a common phenomenon demanding for their effective quality assessment. At the same time, several reports address reproducibility of research, where history of biological samples (acquisition, processing, transportation, storage, and retrieval) and data history (data generation and processing) defines their fitness for purpose, and hence their quality. The project aims at developing a comprehensive W3C PROV based provenance information standard intended for the biomedical research domain. The standard is being developed by the working group 5 ("data processing and integration") of the ISO (International Standardisation Organisation) technical committee 276 "biotechnology". The outcome of the project will be published in parts as international standards or technical specifications. The poster informs about the goals of the standardisation activity, presents the proposed structure of the standards, briefly describes its current state and outlines its future development and open issues.

Bibliographical metadata

Original languageEnglish
Number of pages3
DOIs
Publication statusPublished - 1 Jun 2020
Event4th Provenance Week 2020 - Virtual, United States
Event duration: 22 Jun 202022 Jun 2020
Conference number: 4
https://iitdbgroup.github.io/ProvenanceWeek2020/

Conference

Conference4th Provenance Week 2020
CountryUnited States
CityVirtual
Period22/06/2022/06/20
Internet address