Contextualization for Generating FAIR Data

A Dynamic Model for Documenting Research Activities

authored by: Osman Altun, Marc Hinterthaner, Khemais Barienti, Florian Nürnberger, Roland Lachmayer, Iryna Mozgova, Oliver Koepler, Sören Auer
Abstract: The digitization of technologies in product manufacturing results in the availability of large amounts of process and product data. To gain knowledge from this data and fully leverage its potential, its structuring and semantically annotation is essential. This allows preserving the context of data generation and makes the data machine-readable and interpretable. Contextualization is the key to generating FAIR (Findable, Accessible, Interoperable, Reusable) data. The documentation of research activities and provenance of generated data is usually achieved by protocols. However, there is often a tension between the desire to document data generation in a structured, semantically rich form and the need to design research and process parameters flexibly as experimental conditions change. To resolve these contradictions, a dynamic model is described that allows to document research activities and implemented into a knowledge and research data management system to resolve these contradictions. The model allows a formal, semantic representation of research steps, parameters and gathered data, while also providing flexibility in the generation of protocol templates and individual experiments through the reuse of semantic building blocks. The approach is carried out within the context of a large collaborative research center, showcasing its use in managing and providing data for heterogeneous research tasks, documentation, and data types across interdisciplinary projects.
Organisation(s): CRC 1368 Oxygen-free Production
Institute of Motion Engineering and Mechanism Design
Institute of Materials Science
External Organisation(s): German National Library of Science and Technology (TIB)
Paderborn University
Type: Conference contribution
Pages: 116-126
No. of pages: 11
Publication date: 28.06.2024
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Information Systems and Management
Electronic version(s): https://doi.org/10.1007/978-3-031-62578-7_11 (Access: Closed)

BibTeX

@inproceedings{68640a93dd2e461a95a0a03c57365385,
title = "Contextualization for Generating FAIR Data: A Dynamic Model for Documenting Research Activities",
abstract = "The digitization of technologies in product manufacturing results in the availability of large amounts of process and product data. To gain knowledge from this data and fully leverage its potential, its structuring and semantically annotation is essential. This allows preserving the context of data generation and makes the data machine-readable and interpretable. Contextualization is the key to generating FAIR (Findable, Accessible, Interoperable, Reusable) data. The documentation of research activities and provenance of generated data is usually achieved by protocols. However, there is often a tension between the desire to document data generation in a structured, semantically rich form and the need to design research and process parameters flexibly as experimental conditions change. To resolve these contradictions, a dynamic model is described that allows to document research activities and implemented into a knowledge and research data management system to resolve these contradictions. The model allows a formal, semantic representation of research steps, parameters and gathered data, while also providing flexibility in the generation of protocol templates and individual experiments through the reuse of semantic building blocks. The approach is carried out within the context of a large collaborative research center, showcasing its use in managing and providing data for heterogeneous research tasks, documentation, and data types across interdisciplinary projects.",
keywords = "Data Management, FAIR Data, Knowledge Management, Semantic Annotation",
author = "Osman Altun and Marc Hinterthaner and Khemais Barienti and Florian N{\"u}rnberger and Roland Lachmayer and Iryna Mozgova and Oliver Koepler and S{\"o}ren Auer",
note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2024.; 20th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2023 ; Conference date: 09-07-2023 Through 12-07-2023",
year = "2024",
month = jun,
day = "28",
doi = "10.1007/978-3-031-62578-7_11",
language = "English",
isbn = "9783031625770",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "116--126",
editor = "Christophe Danjou and Ramy Harik and Felix Nyffenegger and Louis Rivest and Abdelaziz Bouras",
booktitle = "Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation - 20th IFIP WG 5.1 International Conference, PLM 2023, Revised Selected Papers",
address = "Germany",
}