Towards a FAIR-ready data value chain for dataspaces
2023 (English)In: Advances in Enterprise Engineering XVI: 12th Enterprise Engineering Working Conference, EEWC 2022, Leusden, The Netherlands, November 2–3, 2022, Revised Selected Papers / [ed] C. Griffo, S. Guerreiro & M. E. Iacob, Cham: Springer, 2023, p. 90-105Conference paper, Published paper (Refereed)
Abstract [en]
Digital transformation has resulted in the availability of more data in higher quality and business models aiming at exploiting them, both on the level of individual enterprises and digital ecosystems. Among the essential elements of business models are the value offering made to target groups and the value creation required for this. Using the example of the maritime dataspace MARISPACE-X, the paper investigates an approach to support business model development combining data value chains with data sovereignty based on the FAIR principles as differentiating feature. The contributions of this paper are (1) an innovative dataspace as example case for business model development, (2) an approach to integrate FAIR principles into data value chains, and (3) analysis of existing literature in the field.
Place, publisher, year, edition, pages
Cham: Springer, 2023. p. 90-105
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 473
Keywords [en]
Data value chain, dataspace, FAIR, Business model development, Business models, Data space, Data values, Digital transformation, High quality, Quality modeling, Value chains, Metadata
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hj:diva-63359DOI: 10.1007/978-3-031-34175-5_6ISBN: 9783031341748 (print)ISBN: 9783031341755 (electronic)OAI: oai:DiVA.org:hj-63359DiVA, id: diva2:1828132
Conference
12th Enterprise Engineering Working Conference, EEWC 2022, Leusden, The Netherlands, November 2–3, 2022
2024-01-162024-01-162026-01-20Bibliographically approved