RDM Support @UM

FAIR and Community for Data Driven Insights

FAIR and Community for Data-Driven Insights

Maastricht University (UM) aims to implement the FAIR data principles in order to increase the recognition of high-quality research data and to create additional value in potential reuse of published research and the underlying data.

UM is committed to working with its researchers to develop appropriate and efficient strategies for long-term preservation of research data, and to ensure that reuse of these data can occur in a responsible manner.

In doing so, UM aims to become a “FAIR university”.

We need your support to achieve that goal.

What is FAIR?

 

FINDABLE
Data are assigned future proof identifiers and have rich metadata to help people and machines find the content they are looking for.

ACCESSIBLE
Data can be easily retrieved using their identifiers, either because they are open data, or because the procedure to access restricted data are clearly delineated.

INTEROPERABLE
Data and their metadata are represented in a way that machines can help people use the content.

REUSABLE
Data and their metadata have clear provenance, terms and conditions, and meet community expectations.

What is already happening?

 

In the Netherlands, the Association of Universities in the Netherlands (VSNU) together with the funding agencies NWO and KNAW, the Ministry of Education, and many others seek to ensure full open access to publications by 2020.

The push for open access and open science includes major infrastructure projects as well as frameworks for training and rewarding researchers (on an institutional and individual level, including performance evaluation). International funding bodies are also promoting FAIR by funding infrastructure and including open publication among the criteria for funding research.

Maastricht University is taking a pro-active approach to create a university-wide established data management plan, hiring data stewards, running pilot projects across faculties, and providing researchers with access to training programmes and extra data storage.

Our friends and colleagues in the YERUN [LINK] join us in our commitment to systemic change towards Open Science – we want to support each other in that endeavour and share our experiences. We will collaborate on training, incentivising, and rewarding young researchers participating in Open Science, and participate in the European Open Science Cloud.

What can you do?

 

Keep its principles and UM’s commitment and support in mind whilst writing the data management paragraph on a funding application.

Make sure your publication is accessible via our repository (either right away or after a publisher’s embargo has expired.)

FAIR principles

Collaborative
OPEN
Research
Education

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Contact & Support

 

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