
In 2023, Flanders Hydraulics (FH) implemented a Research Data Management (RDM) policy in order to improve the quality, security and availability of it’s research data, with extra emphasis on data governance and the FAIR principles (Findable, Accessible, Interoperable, Reusable). With support of the FOSB-architecture budget, two priorities were defined: improving FAIRness and developing a security policy for data accessibility. In order to increase data findability, FH developed a tailored DMP-template based on the Flemish Standard DMP, updated it’s research process flow and carried out an assessment of the current CRIS-system. Alongside these actions, a training and coaching programme was also established to promote FAIR awareness and behavioural change among researchers. Data Accessibility was improved via introducing VO data classification and an open data decision tree. Steps were taken to increase data Interoperability through ensuring metadata structure and readability in the CRIS system, additionally aiming to improving data flow to FRIS. The security policy includes a detailed ‘as is’ and ‘to be’ analysis, as well as guidelines for data classification and access rights. Processes for access allocation, including periodic reviews, were also developed. Although some aspects of this work are still being implemented, such as the optimisation of user rights and an impact analysis of management measures, important steps were nonetheless taken in the effective implementation of a security policy which is in line with Flemish government guidelines. Our policy aims to drive the creation of efficient and secure data infrastructure within FH.
Network Day 2025
Network Day 2025
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
