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Published July 16, 2021 | Version 1
Output management plan Open

Data Management Plan for IntelComp. D8.2.

  • 1. EVERIS SOLUCIONES TECNOLOGICAS SLU, ELLINIKO IDRYMA EREVNAS KAI KAINOTOMIAS, BARCELONA SUPERCOMPUTING CENTER-CENTRO NACIONAL DE SUPERCOMPUTACION, OPENAIRE AMKE, TECHNOPOLIS CONSULTING GROUP BELGIUM, TILDE SIA, FUNDACION ESPANOLA PARA LA CIENCIAY LA TECNOLOGIA, F.S.P., FECYT, Haut Conseil De L'evaluation De La Recherche Et De L'enseignement Superieur (HCERES), Carlos III University of Madrid, ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS, Communication & Information Technologies Experts Anonymos Etaireia Symvouleftikon Kai Anaptyxiakon Ypiresion (CITE), ZENTRUM FUR SOZIALE INNOVATION GMBH, MINISTERIO DE ECONOMIA, INDUSTRIA Y COMPETITIVIDAD

Contributors

Project member:

  • 1. EVERIS SOLUCIONES TECNOLOGICAS SLU, ELLINIKO IDRYMA EREVNAS KAI KAINOTOMIAS, BARCELONA SUPERCOMPUTING CENTER-CENTRO NACIONAL DE SUPERCOMPUTACION, OPENAIRE AMKE, TECHNOPOLIS CONSULTING GROUP BELGIUM, TILDE SIA, FUNDACION ESPANOLA PARA LA CIENCIAY LA TECNOLOGIA, F.S.P., FECYT, Haut Conseil De L'evaluation De La Recherche Et De L'enseignement Superieur (HCERES), Carlos III University of Madrid, ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS, Communication & Information Technologies Experts Anonymos Etaireia Symvouleftikon Kai Anaptyxiakon Ypiresion (CITE), ZENTRUM FUR SOZIALE INNOVATION GMBH, MINISTERIO DE ECONOMIA, INDUSTRIA Y COMPETITIVIDAD

Description

IntelComp sets out to build an innovative Cloud Platform that will offer Artificial Intelligence based services to public administrators and policy makers across Europe for data- and evidence-driven policy design and implementation in the field of Science, Technology, and Innovation (STI). Large STI datasets are processed on the High Performance Computing (HPC) environment part of the European Open Science Cloud (EOSC) initiative. Public administration, STI stakeholders and civil society produce a great amount of dynamic, multilingual, and heterogeneous data so understanding and analysing this data is crucial for evidence-based policy making. The objective of IntelComp is to deliver a platform that provides tools for assisting the whole spectrum of STI policy, i.e., agenda setting, modelling design, implementation, monitoring and evaluation. IntelComp will focus on domains aligned with the European Agenda and the Horizon Europe Missions: Artificial Intelligence, Climate Change and Health. This deliverable is the first version of the Data Management Plan (DMP) of the Intelcomp project produced in the context of Work Package 8 "Project Management and Coordination". It provides an overview of the activities characterizing data management in the project based on the Horizon 2020 policy and FAIR guidelines. This version of the DMP details the types of datasets collected, generated and used within the project, focusing on re-used datasets, and draws a first picture of how they are expected to be handled by / in the IntelComp STI Data Space. In particular the DMP is structured as follows: - Section 1 presents general information on the project and the consortium, - Section 2 provides the dataset description, including how the consortium plans to comply with the FAIR data principles, and - Section 3 describes the (initial) reused datasets. The DMP is produced using Argos DMP service and will be kept as a living document throughout the project's lifecycle with new versions published in Zenodo IntelComp Community when necessary. You may access the machine actionable version of the Argos DMP in zenodo.

Files

DMPA Competitive Intelligence CloudHPC Platform for AIbased STI Policy Making1.json

Additional details

Funding

IntelComp – A Competitive Intelligence Cloud/HPC Platform for AI-based STI Policy Making 101004870
European Commission