European Companies Search Engine

EU funding (€6,999,214): FAIR data from collection to exploitation Hor25 Oct 2024 EU Research and Innovation programme "Horizon"

Text

FAIR data from collection to exploitation

According to the European Research Data Landscape – Final report, a survey involving almost 9,898 responders, highlighted some of the main barriers to management and sharing of research data: time, effort, storage, skills required, and the lack of recognition and data protection. RAISE Suite will develop a system specifically designed to remove barriers to data sharing, replacing technological achievements that do not influence researchers’ attitude towards sharing data. To do so, RAISE Suite will develop the solutions required to automate the process from data collection to dataset generation, guided by a FAIR-by-design principle to remove barriers such as perceived effort, time, as well as skills required for data sharing. At the same time, EOSC-RAISE will be integrated into RAISE Suite, for a platform which supports simple dataset sharing and exploitation, mitigating the sense of lack of recognition and data protection among researchers. Furthermore, RAISE Suite will implement a DMP-guided data collection and management policy. In particular, RAISE Suite will not only adopt a Machine Actionable Data Management Plan (ma-DMP), but further extend it to support designated actions, τurning the persistent identifier DMP-ID into the main reference point for the whole data lifecycle, following research activities, making the connections with underlying algorithms and data, and updating the DMP accordingly from collection, depositing and storing, to discovery, management, processing, reusing and exploitation. RAISE Suite capitalises on the results of a previously funded EC initiative. To this end, RAISE Suite will leverage work done by the EOSC-RAISE project, incorporating its technical platform that moves from open data to data open for processing, introducing the technology required to cover the data lifecycle from the data collection to the dataset generation.


Funded Companies:

Company name Funding amount
Royal Institution FOR THE Advancement OF Learning Mcgill University ?
Ainigma Technologies €305,625
Anagkastikos Synetairismos Diacheiriseos Adiairetou Dasous Mikrokleisouras €148,250
Anthology Ventures JSC €168,590
Aristotelio Panepistimio Thessalonikis €1,076,250
Asociacion Instituto de Investigacion Sanitaria Biogipuzkoa €55,900
Ethniko Kentro Erevnas Kai Technologikis Anaptyxis €278,750
European Network OF Living Labs Ivzw €320,000
Fundacion Centro de Tecnologias de Interaccion Visual y Comunicaciones Vicomtech €473,100
Fundacion Intras €139,688
Innov-Acts Ltd. €190,000
Kykliki Veltistopoiisi ΙΚΕ €230,000
Laurea-Ammattikorkeakoulu Oy €186,313
National Oceanography Centre €230,276
Noosware B.V. €177,750
Openaire Amke €441,250
Panepistimio Dytikis Makedonias €350,000
Socialit Software E Consulting Srl €160,250
Technische Universiteit Eindhoven €189,800
Tecreando B.V. €199,710
Thomas More Kempen VZW €160,000
University OF Macedonia €350,000
University of Southampton €204,375
Vilabs (CY) Ltd. €370,625
Wita Srl €0.00
Xeeti €312,500
Zylk.Net €280,213

Source: https://cordis.europa.eu/project/id/101188337

The filing refers to a past date, and does not necessarily reflect the current state. The latest known state is available on the following page: Royal Institution FOR THE Advancement OF Learning Mcgill University, Montreal, Canada.