TY - GEN
T1 - Boosting Data Monetisation with DATAMITE
AU - Aroca, Jordi Arjona
AU - Osa, María José López
AU - Barturen, Urtza Iturraspe
AU - Siopidis, Vasileios
AU - Votis, Konstantinos
AU - Nikolakopoulos, Anastasios
AU - Chondrogiannis, Efthymios
AU - Plociennik, Marcin
AU - Himanen, Joel
AU - Marinakis, Achilleas
AU - Nestorakis, Konstantinos
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2024.
PY - 2024
Y1 - 2024
N2 - Companies 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.
AB - Companies 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.
KW - Data Governance
KW - Data Monetisation
KW - Data Quality
KW - Data Sharing
UR - https://www.scopus.com/pages/publications/85199201439
U2 - 10.1007/978-3-031-63227-3_3
DO - 10.1007/978-3-031-63227-3_3
M3 - Conference contribution
AN - SCOPUS:85199201439
SN - 9783031632266
T3 - IFIP Advances in Information and Communication Technology
SP - 33
EP - 46
BT - Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops - MHDW 2024, 5G-PINE 2024, and AI4GD 2024, Proceedings
A2 - Maglogiannis, Ilias
A2 - Iliadis, Lazaros
A2 - Karydis, Ioannis
A2 - Papaleonidas, Antonios
A2 - Chochliouros, Ioannis
PB - Springer Science and Business Media Deutschland GmbH
T2 - 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
Y2 - 27 June 2024 through 30 June 2024
ER -