Towards a sustainable Open Data ECOsystem: ESR Vacancy Info Pack

“All 15 fully funded PhD positions are part of the EU Horizon 2020 Marie Sklodowska Curie ITN project entitled “ODECO: Towards a Sustainable Open Data ECOsystem” (see www.odeco-research.eu). ODECO is a four-year project involving 15 PhD projects covering each a specific part of the open data ecosystem. The central aim of the ODECO consortium network is to train the next generation of creative and innovative early stage open data researchers, to unlock their creative and innovative potential to address current and future challenges in the creation of user driven, circular and inclusive open data ecosystems….”

ODECO – Towards a sustainable Open Data ECOsystem

“ODECO is a 4-year Horizon 2020 Marie Sk?odowska-Curie Innovative Training Network initiative (H2020-MSCA-ITN-2020, grant agreement 955569). The central aim of the ODECO consortium network is to train the next generation of creative and innovative early stage open data researchers, to unlock their creative and innovative potential to address current and future challenges in the creation of user driven, circular and inclusive open data ecosystem.

The programme runs between October 2021 and September 2025 and will deliver 15 PhD degrees, in joint supervision and training between the public and private sectors.”

Fully funded PhD Position in Paris on Open Data Licensing | EURAXESS

“This fully funded PhD position is part of the EU Horizon 2020 Marie Sklodowska Curie ITN project entitled “ODECO: Towards a Sustainable Open Data ECOsystem” (see www.odeco-research.eu). ODECO is a four-year project involving 15 PhD projects covering each a specific part of the open data ecosystem. The central aim of the ODECO consortium network is to train the next generation of creative and innovative early stage open data researchers, to unlock their creative and innovative potential to address current and future challenges in the creation of user driven, circular and inclusive open data ecosystems.

Current developments in the field of open data are characterised as highly fragmented. Open data ecosystems are often developed in different domains in isolation of each other and with little involvement of potential users, resulting in approaches that significantly limit open data reusability for users. This reduces innovation and the ability to create new valued added goods and services. Isolated domains also undermine interoperability for users acting as a barrier to data sharing. Efforts are also uncoordinated in open data training and research, where multidisciplinary approaches are scant….”