Understanding Society

Tilburg University is er van overtuigd dat zij kan bijdragen aan het oplossen van maatschappelijke vraagstukken door het ontwikkelen en overdragen van kennis en het samenbrengen van mensen uit verschillende vakgebieden en organisaties.

Open Science

Tilburg University streeft ernaar haar onderzoek zo veel mogelijk vrij toegankelijk te publiceren. Door data, software en materiaal te delen en peer review transparant en toegankelijk te maken, treden onze onderzoekers in dialoog met de samenleving en verhogen zij de impact van hun onderzoek. Bovendien draagt deze open science bij aan de betrouwbaarheid en nauwkeurigheid van het onderzoek. Ook als lid van de Vereniging van Universiteiten (VSNU) streven we actief naar verdere ontwikkeling van open science.

data opslag

Gecertificeerde data-archieven

De onderzoeksdata van Tilburg University worden veilig worden opgeslagen samen met alle informatie die nodig is voor hergebruik en controleerbaarheid van de data. Vier van onze archieven voor onderzoeksdata (datarepositories) hebben inmiddels het keurmerk CoreTrustSeal of (de eerdere versie) Data Seal of Approval behaald. Dit internationale keurmerk houdt in de data voldoen aan kwaliteitskenmerken die duurzaamheid en transparantie waarborgen. De data in deze archieven zijn beschikbaar voor de wetenschap.

PROFILES Registry (Tilburg University en 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)

The LISS panel (Longitudinal Internet Studies for the 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)

De DNB Household Survey is een dataverzameling van een panelonderzoek die het mogelijk maakt om psychologische en economische aspecten van financieel gedrag te bestuderen. De data bevatten informatie over werk, pensioen, wonen, hypotheken, inkomen, bezittingen, leningen, gezondheid, economische en psychologische concepten en persoonlijke eigenschappen. De data worden verzameld sinds sinds 1993 bij 2000 huishoudens. De data van de DHS zijn vrij beschikbaar voor wetenschappelijk gebruik.

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 researchers to share data with other scientists. The repository takes part of the DataverseNL network of several Dutch universities and institutions. The data management is in the hands of the member organizations, while the national organization Data Archiving and Networked Services (DANS) 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.”