Understanding Society

Tilburg University is convinced that it can contribute to solving social issues by developing and transferring knowledge and bringing together people from various disciplines and organizations.

Open Science

Tilburg University aims for its research to be published in such a way that is freely accessible. By sharing data, software and material, and by making peer review transparent and accessible, our researchers enter into dialog with society and raise the impact of their research. Besides this, open science, as it is called, contributes to the reliability and accuracy of the research. Also as a member of the VSNU, the Association of Universities in the Netherlands, we actively pursue the further development of open science.

data storage

Certified Data Repositories

Tilburg University’s research data are stored securely, together with all the information that is needed for their reutilization and verifiability. Four of our data repositories have already received the CoreTrustSeal quality label, or its earlier version, the Data Seal of Approval. This international quality label certifies that the way the data are stored meets the quality requirements that guarantee sustainability and transparency. The data in these repositories are available for academic research.

PROFILES Registry (Tilburg University and IKNL)

"Patient Reported Outcomes Following Initial treatment and Long term Evaluation of Survivorship (PROFILES)" is a registry for the study of the physical and psychosocial impact of cancer and its treatment from a dynamic, growing population-based cohort of both short and long-term cancer survivors. Researchers from the Netherlands Comprehensive Cancer Centre (IKNL) and Tilburg University work together with medical specialists from national hospitals in order to set up different PROFILES studies, collect the necessary data, and present the results in scientific journals and (inter)national conferences.

PROFILES is a tool that enables data collection management; from inviting patients to participation in studies, to collecting patient-reported outcomes data via web-based or mailed questionnaires, and linking these data with clinical data. PROFILES contains a large web-based component and is linked directly to clinical data from the population-based Netherlands cancer registry. The availability of a control cohort of approximately 2000 persons from the general population who complete the same basic questionnaire annually will provide the opportunity to estimate the unique impact of cancer, beyond that of normal aging and comorbidities.

Dr. Alison Pearce, Research Fellow at University of Technology Sydney in Australia, about PROFILES Registry: “The PROFILES Registry data is easy to access, while maintaining rigorous processes for confidentiality and ensuring the data is used for high quality research. There is nothing like it in Australia, so the PROFILES Registry is an excellent resource for Australian cancer researchers. The PROFILES Registry also has a team of researchers and experts who can collaborate on projects using their data, meaning the data is used efficiently and interpreted appropriately”.

LISS Panel Data (CentERdata)

Tilburg University Dataverse is the central online repository for research data at Tilburg University, managed by the Research Data Office (RDO) at Library and IT Services (LIS). Besides storing data, Dataverse allows you to share data with other scientists. The repository is part of the DataverseNL network of several Dutch universities and institutions. Data management is in the hands of the member organizations, while DANS, the overarching national Data Archiving and Networked Services organization, manages the network.

To ensure that archived data can still be found, accessed and used in the future, Tilburg University Dataverse is CoreTrustSeal certified. This data seal is granted to data repositories that meet a number of clear criteria in the field of quality, preservation and accessibility of data. Tilburg University Dataverse is the first institution within the DataverseNL network to obtain the quality mark.

Before data sets are published, data curators of the Research Data Office check them for the use of sustainable file formats, complete documentation with the data sets, and the occurrence of personal data.

Veni laureate Lisanne Huis in 't Veld is associated with the department Cognitive Science and Artificial Intelligence at the Tilburg School of Humanities and Digital Sciences. She is also senior postdoc researcher at the department of Donor Studies at Sanquin Research. Writing her data management plan for NWO she chose to deposit her data sets in Dataverse at the end of her research project:

“Writing the DMP forced me to think carefully about the type of data I was going to collect during my project, and how I should store the different types of complex data in such a way that they can be reused by other researchers. As the main research technique (Infrared Thermal Imaging) is novel and potentially privacy sensitive, I need to store it at a safe location and in several formats each with a different level of accessibility. Additionally, the data will take up a lot of space and requires detailed metadata to be of use.”

he Social sciences) consists of 4500 households, comprising 7000 individuals. The panel is based on a true probability sample of households drawn from the population register by Statistics Netherlands. Panel members complete online questionnaires every month of about 15 to 30 minutes in total. They are paid for each completed questionnaire. Part of the interview time available in the LISS panel is reserved for the LISS Core Study.

This longitudinal study is designed to follow changes in the life course and living conditions of the panel members. In addition to the LISS Core Study there is ample room to collect data for different research purposes. Many disciplines, from linguistics to medical sciences, have taken up the opportunity to use the research infrastructure. The LISS panel has been in full operation since October 2007.

DNB Household Survey (CentERdata)

The DNB Household Survey is a collection of data gathered from panel research, available for researchers to study psychological as well as economic aspects of financial behavior. This panel survey was launched in 1993 and comprises information on work, pensions, housing, mortgages, income, possessions, loans, health, economic and psychological concepts, and personal characteristics of 2,000 households. The DHS data are freely accessible for academic research purposes.

Tilburg University Dataverse (LIS)

Tilburg University Dataverse is the central online repository for research data at Tilburg University, managed by the Research Data Office (RDO) at Library and IT Services (LIS). Besides storing data, Dataverse allows you to share data with other scientists. The repository is part of the DataverseNL network of several Dutch universities and institutions. Data management is in the hands of the member organizations, while DANS, the overarching national Data Archiving and Networked Services organization, manages the network. Tilburg University Dataverse was the first institution within the DataverseNL network to obtain the quality mark.

To ensure that archived data can still be found, accessed and used in the future, Tilburg University Dataverse is CoreTrustSeal certified. This data seal is granted to data repositories that meet a number of clear criteria in the field of quality, preservation and accessibility of data. Tilburg University Dataverse is the first institution within the DataverseNL network to obtain the quality mark.

Before data sets are published, data curators of the Research Data Office check them for the use of sustainable file formats, complete documentation with the data sets, and the occurrence of personal data.

Veni laureate Lisanne Huis in 't Veld is associated with the department Cognitive Science and Artificial Intelligence at the Tilburg School of Humanities and Digital Sciences. She is also senior postdoc researcher at the department of Donor Studies at Sanquin Research. Writing her data management plan for NWO she chose to deposit her data sets in Dataverse at the end of her research project:

“Writing the DMP forced me to think carefully about the type of data I was going to collect during my project, and how I should store the different types of complex data in such a way that they can be reused by other researchers. As the main research technique (Infrared Thermal Imaging) is novel and potentially privacy sensitive, I need to store it at a safe location and in several formats each with a different level of accessibility. Additionally, the data will take up a lot of space and requires detailed metadata to be of use.”