Junior Research Engineer in the field of open data ecosystems M/F
BE-GOOD (Building an Ecosystem to Generate Opportunities in Open Data) is a pioneering INTERREG NWE project aiming to unlock, re-use and extract value from Public Sector Information (PSI) to develop innovative data-driven services in the area of infrastructure & environment.
BE-GOOD uses a novel demand-driven approach, starting with public service delivery challenges common for public bodies across NWE to unlock appropriate datasets and engage with the marketplace.
BE-GOOD's main outputs will be: 12 novel commercial PSI-based services prototyped operationally. Examples include applications, visualizations, software, or algorithms for traffic management, air and water quality monitoring and infrastructure maintenance planning.
The BE-GOOD approach is based on identifying ´Challenges´ for public sector service delivery that could be addressed through better use of data. It will then source solutions from the marketplace.
LIST is the lead technical partner of BE-GOOD. LIST will develop the guidance and joint transnational methods to release data, allow data sharing and interoperability transnationally, and engage with solution providers to design and build open data ecosystems.
We are looking for one highly motivated researcher to perform a key role and actively contribute to the research and technological activities of LIST in BE-GOOD:
- Independently advice the project coordinator and challenges owners on technical and methodological issues
- Identify and tackle major barriers to market uptake for PSI-based services
- Review and monitoring of the challenges maturation and ecosystems evolution
- Support trans-national cooperation between the partners
- Evaluate implementation process and business cases
- Define the BE-GOOD methods
- Disseminate the project results in the academic and professional communities
- Master Degree Information Science (or related field)
- Proven experience in open data related fields
- Proven track of scientific publications
The researcher is expected to show proven competencies and clear interest in the following domains:
- Open data maturity models
- Ecosystems modelling
- Impact assessment
- Risk management in open data projects (publication and reuse)
- Open data standards, Open data quality
- Open data re-use methodologies
- Open data re-user engagement
- Open data contests (models, benefits, failures, evaluation criteria of the proposals)
- Good knowledge of past and ongoing open data initiatives
- Design and analysis of questionnaires and interviews
Autonomy, pro-activity and ability to work in a team are mandatory.
- Written and spoken French and English
This job comes from a partnership with Science Magazine and