Good research requires responsible data management.

In short, data management can be defined as the creation, storage, maintenance, disclosure, archiving and sustainable preservation of research data. Not only would it be terrible if all your important research data would be lost. And not only can you save a lot of time if you can retrieve your data more easy. But if we can connect data sets, we can see the bigger picture, find solutions that cannot be found in specialized areas alone. Innovation happens where disciplines meet. The innovative power of research depends on our ability to connect datasets.
DataHub offers the tools and services to help you with this.

News

08-04-2020
New, secure service by connecting DataHub with DataverseNL.
Make your research data openly available for new research.

As a result of a joined effort by DataHub and Maastricht University Library researchers using the DataHub storage services now have the opportunity to make their data collection openly available via DataverseNL. From now on, with a push of a button a researcher can copy a data collection or parts of a data collection from DataHub to DataverseNL including the descriptive metadata of the data collection. The data than can be published as open access or with restrictions (i.e. access upon request).

The process is arranged in a way that every data collection will be curated by a data steward from the University Library before the data collection is published. This minimises the risk of publishing sensitive data and increases the quality of the descriptive metadata of the data collection.

Maastricht University and Maastricht UMC+, but also more and more funders and publishers, foster Open Science and the creation of FAIR research data. DataHub and Maastricht University Library provide storage solutions and research data management services. They both work according to the FAIR principles and help you making data Findable, Accessible, Interoperable and Reusable. With this service, researchers from both Maastricht University and Maastricht UMC+ are able to meet the demands of funders and publishers to make data publically available.

Getting started

People who already have an account at DataHub, can contact their data steward to get their research data project(s) enabled for this feature. All others can contact either DataHub or the University Library to get things started.

About DataHub and the University Library

DataHub provides data management services for studies in both the Faculty of Health Medicine and Life Sciences of Maastricht University and Maastricht UMC+. For security reasons the FAIR data process is focused on securely sharing data within the MUMC+ life sciences community. Nevertheless, it may be desirable to publish data collections to a larger community and to make them publically available, in accordance with ethical conditions and legal requirements.

Maastricht University Library provides DataverseNL as a solution for storage during and after the research project with the ability to make research data publically available (worldwide). Dataverse is developed by the Dataverse Team at the Institute for Quantitative Social Science (IQSS) at Harvard University and is an open source web application to share, preserve, cite, and explore research data. Sharing data in Dataverse increases visibility and researchers receive appropriate credit via a data citation with a persistent identifier. DataverseNL is a project on national level in a partnership with DANS (KNAW), 9 Dutch Universities, 2 universities of applied science and 3 research institutes.

More information

Excited to learn more about this new service or interested in using this new service? Please contact the data steward of your faculty or contact DataHub or the University Library directly.

DataHub: datahub@maastrichtuniversity.nl
Maastricht University Library

18-03-2020
Coronavirus (COVID-19): DataHub infrastructure

The coronavirus affects us all. This exceptional situation demands a lot from us in terms of adaptability and improvisation. We would like to inform you that you can use the DataHub infrastructure as you are used to. Read more.

Choose the level that is right for you

ESSENTIAL A simple way to get started with research data management.	STANDARD For researchers that work with personal data or want to take research data management one step further.	ADVANCED For researchers that want to leverage the power of data and dive deep into data sets.
1H of free data management advice Data management section Safe data storage Data management knowledge Full data management plan Data management plan support Custom storage facilitites Data stewardship support Data explorer Data structuring tools Basic data anonymisation tools Advanced data anonymisation tools Collaboration facilities Patient data / e-health tools Imaging Data consultancy	1H of free data management advice Data management section Full data management plan Safe data storage Custom storage facilitites Data management knowledge Data stewardship support Data explorer Data structuring tools Data management plan support Basic data anonymisation tools Advanced data anonymisation tools Collaboration facilities Patient data / e-health tools Imaging Data consultancy	1H of free data management advice Data management section Full data management plan Data management plan support Safe data storage Custom storage facilitites Data management knowledge Data stewardship support Data explorer Data structuring tools Basic data anonymisation tools Advanced data anonymisation tools Collaboration facilities Patient data / e-health tools Imaging Data consultancy
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About DataHub

At DataHub, we provide data management services for (non-) clinical studies. DataHub is an institutional data broker that provides data management services to researchers from the academic hospital and university. Our cross-organisational infrastructure enables researchers from multiple disciplines to reuse valuable data from the hospital, the university, and beyond. DataHub works according to the FAIR principles, which specify that data and metadata should be findable, accessible, interoperable and reusable. We continuously improve our services in order to provide added value to researchers who want to do more with their data.