Towards an Integrated Provenance Framework: A Scenario for Marine Data

Tanja Auge, Susanne Feistel, Fajar J. Ekaputra, Meike Klettke, Susanne Jürgensmann, Emil Michels, Laura Waltersdorfer

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

Abstract

Research data is very valuable, and its collection is time-consuming, work-intensive, and expensive. Therefore, it has become good scientific practice to make as much data as possible publicly available, enriched with metadata and additional information. However, the metadata of data science processes can rarely be determined automatically. Furthermore, there is often no link between a specific query/research result and the associated (provenance) data and metadata. In this article, we address this challenge in data -driven science applications with a focus on marine data processing. An important goal is to trace all relevant information from a concrete research result back to its original data and meta-data. Therefore, we aim to integrate and make accessible the workflow/data provenance throughout the entire process. The main contributions of this paper are twofold: (i) we summarize the challenges in the field of interdisciplinary research projects, and (ii) we present a first approach that combines both provenance types in one concept.

OriginalspracheEnglisch
Titel des SammelwerksProceedings - 9th IEEE European Symposium on Security and Privacy Workshops (EUROS and PW 2024)
Untertitel des Sammelwerks8-12 July 2014, Vienna Austria
ErscheinungsortLos Alamitos/Washington/Tokyo
VerlagInstitute of Electrical and Electronics Engineers Inc.
Seiten597-601
Seitenumfang5
ISBN (elektronisch)9798350367294
DOIs
PublikationsstatusVeröffentlicht - 2024
Veranstaltung9th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2024 - Vienna, Österreich
Dauer: 8 Juli 202412 Juli 2024

Konferenz

Konferenz9th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2024
Land/GebietÖsterreich
OrtVienna
Zeitraum8/07/2412/07/24

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