{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T06:48:46Z","timestamp":1771051726727,"version":"3.50.1"},"reference-count":40,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2024,3,29]],"date-time":"2024-03-29T00:00:00Z","timestamp":1711670400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"University of Montpellier"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>Analytical data platforms have been used for decades to improve organizational performance. Starting from the data warehouses used primarily for structured data processing, through the data lakes oriented for raw data storage and post-hoc data analyses, to the data lakehouses\u2014a combination of raw storage and business intelligence pre-processing for improving the platform\u2019s efficacy. But in recent years, a new architecture called Data Mesh has emerged. The main promise of this architecture is to remove the barriers between operational and analytical teams in order to boost the overall value extraction from the big data. A number of attempts have been made to formalize and implement it in existing projects. Although being defined as a socio-technical paradigm, data mesh still lacks the technology support to enable its widespread adoption. To overcome this limitation, we propose a new view of the platform requirements alongside the formal governance definition that we believe can help in the successful adoption of the data mesh. It is based on fundamental aspects such as decentralized data domains and federated computational governance. In addition, we also present a blockchain-based implementation of a mesh platform as a practical validation of our theoretical proposal. Overall, this article demonstrates a novel research direction for information system decentralization technologies.<\/jats:p>","DOI":"10.3390\/fi16040115","type":"journal-article","created":{"date-parts":[[2024,3,31]],"date-time":"2024-03-31T13:28:00Z","timestamp":1711891680000},"page":"115","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Implementing Federated Governance in Data Mesh Architecture"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-6568-0427","authenticated-orcid":false,"given":"Anton","family":"Dolhopolov","sequence":"first","affiliation":[{"name":"LIRMM, University of Montpellier, CNRS, 34095 Montpellier, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0305-2231","authenticated-orcid":false,"given":"Arnaud","family":"Castelltort","sequence":"additional","affiliation":[{"name":"LIRMM, University of Montpellier, CNRS, 34095 Montpellier, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3708-6429","authenticated-orcid":false,"given":"Anne","family":"Laurent","sequence":"additional","affiliation":[{"name":"LIRMM, University of Montpellier, CNRS, 34095 Montpellier, France"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,29]]},"reference":[{"key":"ref_1","unstructured":"Miloslavskaya, N., and Tolstoy, A. (2016, January 16\u201319). Big data, fast data and data lake concepts. Proceedings of the 7th Annual International Conference on Biologically Inspired Cognitive Architectures (BICA 2016), Procedia Computer Science, New York, NY, USA."},{"key":"ref_2","unstructured":"Inmon, W., Strauss, D., and Neushloss, G. (2010). DW 2.0: The Architecture for the Next Generation of Data Warehousing, Elsevier."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Madera, C., and Laurent, A. (2016, January 2\u20134). The next information architecture evolution: The data lake wave. Proceedings of the 8th International Conference on Management of Digital Ecosystems, Hendaye, France.","DOI":"10.1145\/3012071.3012077"},{"key":"ref_4","unstructured":"Armbrust, M., Ghodsi, A., Xin, R., and Zaharia, M. (2021, January 11\u201315). Lakehouse: A new generation of open platforms that unify data warehousing and advanced analytics. Proceedings of the CIDR, Virtual Event."},{"key":"ref_5","unstructured":"Dehghani, Z. (2022). Data Mesh: Delivering Data-Driven Value at Scale, O\u2019Reilly Media, Inc."},{"key":"ref_6","unstructured":"Evans, E., and Evans, E.J. (2004). Domain-Driven Design: Tackling Complexity in the Heart of Software, Addison-Wesley Professional."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"33123","DOI":"10.1109\/ACCESS.2022.3161478","article-title":"Data market design: A systematic literature review","volume":"10","author":"Driessen","year":"2022","journal-title":"IEEE Access"},{"key":"ref_8","unstructured":"DAMA-International (2017). DAMA-DMBOK: Data Management Body of Knowledge, Technics Publications."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Ara\u00fajo Machado, I., Costa, C., and Santos, M.Y. (2022, January 6\u201310). Advancing Data Architectures with Data Mesh Implementations. Proceedings of the International Conference on Advanced Information Systems Engineering, Leuven, Belgium.","DOI":"10.1007\/978-3-031-07481-3_2"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Wider, A., Verma, S., and Akhtar, A. (2023, January 2\u20138). Decentralized data governance as part of a data mesh platform: Concepts and approaches. Proceedings of the 2023 IEEE International Conference on Web Services (ICWS), Chicago, IL, USA.","DOI":"10.1109\/ICWS60048.2023.00101"},{"key":"ref_11","unstructured":"Abel, G. (2022). Data Mesh: Systematic Gray Literature Study, Reference Architecture, and Cloud-Based Instantiation at ASML. [Master\u2019s Thesis, School of Economics and Management, Tilburg University]."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Butte, V.K., and Butte, S. (2022, January 25\u201326). Enterprise Data Strategy: A Decentralized Data Mesh Approach. Proceedings of the 2022 International Conference on Data Analytics for Business and Industry (ICDABI), Virtual.","DOI":"10.1109\/ICDABI56818.2022.10041672"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1017\/pds.2022.73","article-title":"From a Monolithic PLM Landscape to a Federated Domain and Data Mesh","volume":"2","author":"Hooshmand","year":"2022","journal-title":"Proc. Des. Soc."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Dolhopolov, A., Castelltort, A., and Laurent, A. (2023, January 5\u20137). Exploring the Benefits of Blockchain-Powered Metadata Catalogs in Data Mesh Architecture. Proceedings of the 15th International Conference on Management of Digital EcoSystems, Crete, Greece.","DOI":"10.1007\/978-3-031-51643-6_3"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Dolhopolov, A., Castelltort, A., and Laurent, A. (2023, January 5\u20137). Trick or Treat: Centralized Data Lake vs Decentralized Data Mesh. Proceedings of the 15th International Conference on Management of Digital EcoSystems, Crete, Greece.","DOI":"10.1007\/978-3-031-51643-6_22"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Dolhopolov, A., Castelltort, A., and Laurent, A. (2023, January 12\u201314). Implementing a Blockchain-Powered Metadata Catalog in Data Mesh Architecture. Proceedings of the International Congress on Blockchain and Applications, Guimar\u00e3es, Portugal.","DOI":"10.1007\/978-3-031-45155-3_35"},{"key":"ref_17","unstructured":"Newman, S. (2015). Building Microservices, O\u2019Reilly Media, Inc."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Priebe, T., Neumaier, S., and Markus, S. (2021, January 15\u201318). Finding your way through the jungle of big data architectures. Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA.","DOI":"10.1109\/BigData52589.2021.9671862"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/j.procs.2021.12.013","article-title":"Data mesh: Concepts and principles of a paradigm shift in data architectures","volume":"196","author":"Machado","year":"2022","journal-title":"Procedia Comput. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Insfran, E., Gonz\u00e1lez, F., Abrah\u00e3o, S., Fern\u00e1ndez, M., Barry, C., Linger, H., Lang, M., and Schneider, C. (2021). Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings), Universitat Polit\u00e8cnica de Val\u00e8ncia.","DOI":"10.1007\/978-3-030-95354-6"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Driessen, S., Monsieur, G., and van den Heuvel, W.J. (December, January 29). Data Product Metadata Management: An Industrial Perspective. Proceedings of the Service-Oriented Computing\u2013ICSOC 2022 Workshops: ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain.","DOI":"10.1007\/978-3-031-26507-5_19"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1007\/s10844-020-00608-7","article-title":"On data lake architectures and metadata management","volume":"56","author":"Sawadogo","year":"2021","journal-title":"J. Intell. Inf. Syst."},{"key":"ref_23","first-page":"207","article-title":"Zero trust architecture","volume":"800","author":"Stafford","year":"2020","journal-title":"NIST Spec. Publ."},{"key":"ref_24","first-page":"280","article-title":"Data contracts for cloud-based data marketplaces","volume":"7","author":"Truong","year":"2012","journal-title":"Int. J. Comput. Sci. Eng."},{"key":"ref_25","unstructured":"Hai, R., Geisler, S., and Quix, C. (July, January 26). Constance: An intelligent data lake system. Proceedings of the International Conference on Management of Data, San Francisco, CA, USA."},{"key":"ref_26","unstructured":"Zhao, Y. (2021). Metadata Management for Data Lake Governance. [Ph.D. Thesis, \u00c9cole Doctorale Math\u00e9matiques, Informatique et T\u00e9l\u00e9communications]."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Sawadogo, P.N., Darmont, J., and No\u00fbs, C. (2021, January 24\u201326). Joint Management and Analysis of Textual Documents and Tabular Data within the AUDAL Data Lake. Proceedings of the European Conference on Advances in Databases and Information Systems, Tartu, Estonia.","DOI":"10.1007\/978-3-030-82472-3_8"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"101931","DOI":"10.1016\/j.datak.2021.101931","article-title":"Modeling metadata in data lakes\u2014A generic model","volume":"136","author":"Eichler","year":"2021","journal-title":"Data Knowl. Eng."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Mehmood, H., Gilman, E., Cortes, M., Kostakos, P., Byrne, A., Valta, K., Tekes, S., and Riekki, J. (2019, January 8\u201312). Implementing big data lake for heterogeneous data sources. Proceedings of the 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), Macao, China.","DOI":"10.1109\/ICDEW.2019.00-37"},{"key":"ref_30","first-page":"5","article-title":"Managing Google\u2019s data lake: An overview of the Goods system","volume":"39","author":"Halevy","year":"2016","journal-title":"IEEE Data Eng. Bull."},{"key":"ref_31","unstructured":"Apache Software Foundation (2023, August 14). Apache Atlas\u2014Data Governance and Metadata Framework for Hadoop. Available online: https:\/\/atlas.apache.org."},{"key":"ref_32","unstructured":"DataHub Project (2023, August 14). The Metadata Platform for the Modern Data Stack. Available online: https:\/\/datahubproject.io\/."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"3321","DOI":"10.3390\/jtaer16070180","article-title":"Business data sharing through data marketplaces: A systematic literature review","volume":"16","author":"Abbas","year":"2021","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Desai, H., Liu, K., Kantarcioglu, M., and Kagal, L. (August, January 30). Adjudicating violations in data sharing agreements using smart contracts. Proceedings of the 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Halifax, NS, Canada.","DOI":"10.1109\/Cybermatics_2018.2018.00261"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Androulaki, E., Barger, A., Bortnikov, V., Cachin, C., Christidis, K., De Caro, A., Enyeart, D., Ferris, C., Laventman, G., and Manevich, Y. (2018, January 23\u201326). Hyperledger fabric: A distributed operating system for permissioned blockchains. Proceedings of the Thirteenth EuroSys Conference, Porto, Portugal.","DOI":"10.1145\/3190508.3190538"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Demichev, A., Kryukov, A., and Prikhodko, N. (2018, January 22\u201323). The approach to managing provenance metadata and data access rights in distributed storage using the hyperledger blockchain platform. Proceedings of the Ivannikov Ispras Open Conference, Moscow, Russia.","DOI":"10.1109\/ISPRAS.2018.00028"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Koscina, M., Manset, D., Negri-Ribalta, C., and Perez, O. (2019, January 14\u201317). Enabling trust in healthcare data exchange with a federated blockchain-based architecture. Proceedings of the International Conference on Web Intelligence\u2014Companion Volume, Thessaloniki, Greece.","DOI":"10.1145\/3358695.3360897"},{"key":"ref_38","first-page":"1","article-title":"Comparison of ethereum, hyperledger fabric and corda","volume":"8","author":"Valenta","year":"2017","journal-title":"Frankf. Sch. Blockchain Cent."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Ayed, D., Dragan, P.A., F\u00e9lix, E., Mann, Z.A., Salant, E., Seidl, R., Sidiropoulos, A., Taylor, S., and Vitorino, R. (2022, January 16\u201319). Protecting sensitive data in the cloud-to-edge continuum: The FogProtect approach. Proceedings of the 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Taormina, Italy.","DOI":"10.1109\/CCGrid54584.2022.00037"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Dittmann, G., Giblin, C., and Osborne, M. (2022, January 17\u201320). Automating privacy compliance in the decentralized enterprise. Proceedings of the IEEE International Conference on Big Data (Big Data), Osaka, Japan.","DOI":"10.1109\/BigData55660.2022.10020160"}],"container-title":["Future Internet"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-5903\/16\/4\/115\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:21:09Z","timestamp":1760106069000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-5903\/16\/4\/115"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,29]]},"references-count":40,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2024,4]]}},"alternative-id":["fi16040115"],"URL":"https:\/\/doi.org\/10.3390\/fi16040115","relation":{},"ISSN":["1999-5903"],"issn-type":[{"value":"1999-5903","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,29]]}}}