Boosting Data Monetisation with DATAMITE

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dc.contributor.authorAroca, Jordi Arjona
dc.contributor.authorOsa, María José López
dc.contributor.authorBarturen, Urtza Iturraspe
dc.contributor.authorSiopidis, Vasileios
dc.contributor.authorVotis, Konstantinos
dc.contributor.authorNikolakopoulos, Anastasios
dc.contributor.authorChondrogiannis, Efthymios
dc.contributor.authorPlociennik, Marcin
dc.contributor.authorHimanen, Joel
dc.contributor.authorMarinakis, Achilleas
dc.contributor.authorNestorakis, Konstantinos
dc.contributor.editorMaglogiannis, Ilias
dc.contributor.editorIliadis, Lazaros
dc.contributor.editorKarydis, Ioannis
dc.contributor.editorPapaleonidas, Antonios
dc.contributor.editorChochliouros, Ioannis
dc.contributor.institutionHPA
dc.date.accessioned2024-09-06T09:35:06Z
dc.date.available2024-09-06T09:35:06Z
dc.date.issued2024
dc.descriptionPublisher Copyright: © IFIP International Federation for Information Processing 2024.
dc.description.abstractCompanies around the globe store large quantities of data they cannot monetise. Regarding internal monetisation, they lack tools to facilitate the governance and quality assessment of their data, resulting not really knowing what data they own or it being non reliable due to its poor quality. External monetisation is usually hindered by the unavailability of trustable mechanisms to perform this exchange or enabling the company to participate in ecosystems like EU data spaces or Gaia-X. DATAMITE is an open-source modular and multi-domain framework that focuses on monetisation through interoperability and data exchange. Its modules offer tools for enhancing data governance, quality and security, but also enabling data sharing to a collection of ecosystems like data spaces, Gaia-X, EOSC or AIoD through a plugin-based approach. It also includes a series of additional support tools to assist on data discovery, ingestion, harmonization or evaluate data fairness, among other.en
dc.description.statusPeer reviewed
dc.format.extent14
dc.identifier.citationAroca , J A , Osa , M J L , Barturen , U I , Siopidis , V , Votis , K , Nikolakopoulos , A , Chondrogiannis , E , Plociennik , M , Himanen , J , Marinakis , A & Nestorakis , K 2024 , Boosting Data Monetisation with DATAMITE . in I Maglogiannis , L Iliadis , I Karydis , A Papaleonidas & I Chochliouros (eds) , Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops - MHDW 2024, 5G-PINE 2024, and AI4GD 2024, Proceedings . IFIP Advances in Information and Communication Technology , vol. 715 IFIPAICT , Springer Science and Business Media Deutschland GmbH , pp. 33-46 , 13th Mining Humanistic Data Workshop, MHDW 2024, 9th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2024 and 1st Workshop on AI in Applications for Achieving the Green Deal Targets, AI4GD 2024 held as parallel events of the IFIP WG 12.5 International Workshops on Artificial Intelligence Applications and Innovations, AIAI 2024 , Corfu , Greece , 27/06/24 . https://doi.org/10.1007/978-3-031-63227-3_3
dc.identifier.citationconference
dc.identifier.doi10.1007/978-3-031-63227-3_3
dc.identifier.isbn9783031632266
dc.identifier.issn1868-4238
dc.identifier.urihttps://hdl.handle.net/11556/4845
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85199201439&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofArtificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops - MHDW 2024, 5G-PINE 2024, and AI4GD 2024, Proceedings
dc.relation.ispartofseriesIFIP Advances in Information and Communication Technology
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsData Governance
dc.subject.keywordsData Monetisation
dc.subject.keywordsData Quality
dc.subject.keywordsData Sharing
dc.subject.keywordsInformation Systems and Management
dc.titleBoosting Data Monetisation with DATAMITEen
dc.typeconference output
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