Data & software management pillar

The guiding principle for research data is: open where possible, closed where necessary. Research data and code (insofar as this is possible), algorithms and software that are associated with scientific publications are managed and stored in a retrievable, accessible, interoperable and reusable way whenever possible. The provides researchers with a platform to meet these requirements. When it comes to the management of research data, scientists are supported by the at the research schools. The leading Digital Competence Centre operates as a knowledge centre and liaison department.

The goal of the Responsible Data and Software Management Working Group is to evaluate and strengthen the Research Data Management’s (RDM) infrastructure and the support that it offers, which has become more effective in recent years. All of this is being done in an attempt to adapt to national and international RDM developments and the needs of researchers at uu77.

What are we working on?

Strengthening the collaboration and enhance the findability of support and information with respect to Research Data Management (RDM), with additional focus on knowledge building, the professionalisation of data stewardship and extended support for research software.
Rolling out and enhancing the RDM infrastructure (such as Radboud Data Repository (RDR) and Research Data Management (RDM) for Students), including data curation, support and functionality.
Keeping up with national and international infrastructure developments, such as the and the Dutch Open Research Information Agenda.
Improving information on dataset archiving, collecting external dataset information automatically and simplifying the internal registration process.
Monitoring and evaluating RDM policy implementation and compliance.
: in addition to making data findable and accessible, promoting interoperability and reusability through such initiatives as exchange of knowledge and collaboration between the Open Science and Programmes.

View the concrete action points of this working group

Practical information for researchers

Processing research data

Contact

If you have any practical questions about data & software management, please visit the practical information page above. If you have any questions for the Responsible Data and Software Management Working Group within the Radboud Open Science Programme, please contact Inge Slouwerhof, inge.slouwerhof [at] ru.nl (inge[dot]slouwerhof[at]ru[dot]nl).

Examples from practise

Radboud Data Repository

Radboud Data Repository (RDR) is a data repository in which uu77 researchers can archive and/or publish their research data. Nearly 5,500 researchers use the repository to manage their research data. It contains over 3,350 data collections, which are in editable condition, about 360 internally archived collections and over 500 published collections that are accessible to the general public.

Radboud Faces Database

The Radboud Faces Database (RaFD) is a set of photographs of 67 models (which includes Caucasian men and women, Caucasian children of both sexes, and Moroccan Dutch men), who are showing eight different emotional expressions. The RaFD is an initiative from uu77’s Behavioural Science Institute, and can be used freely for non-commercial scientific research by researchers who work for an officially accredited university.

Open Matrices

Fluid reasoning is the ability to solve new, abstract problems without any specific prior knowledge. Your level of fluid reasoning ability can predict how successful you are in school, how healthy you are and what your socio-economic situation is. Unfortunately, existing tests such as the Raven’s Matrices are expensive and they have a limited number of questions, which means that they are not readily accessible for everyone. The Donders Institute’s Open Matrices Project aims to develop an unlimited set of questions and make them available worldwide so that these tests can be used by everyone. More about Open Matrices

Global Data Lab

The Global Data Lab (GDL) is an independent data and research centre at uu77’s Nijmegen School of Management. With more than 500 household surveys from low- and middle-income countries, the GDL has information on more than 35 million people in over 130 countries. The GDL conducts research and develops specialised databases, indices and tools that are used to monitor and analyse the status and progress of societies.

Hoe verbeteren we de zorg voor kwetsbare ouderen?

TOPICS-MDS

The Older Persons and Informal Caregivers Survey – Minimum DataSet (TOPICS-MDS) is a public database from Radboud university medical center that contains information on the physical and mental health and well-being of older persons and informal carers throughout the Netherlands. The database was developed at the start of the National Programme for Elderly Care on the initiative of ZonMw (The Netherlands), partly to ensure a uniform collection of data and to consequently promote comparability between studies. Fifty-three different research projects have contributed data to this initiative, which has resulted in a pooled dataset of >43,000 older people and >9,000 informal carers. The dataset can be reused free of charge.

ABRIM

The Donders Institute’s Advanced BRain Imaging on ageing and Memory (ABRIM) MRI collection contains data from 295 participants aged between 18 and 80 years. The participants in this project underwent a multi-modal MRI scan and took part in behavioural research. The collection offers both raw and pre-processed MRI data and includes information on age, gender, height and weight. The data is available to registered users.