1. The project should be in line with the vision and broad scope of the BMS lab: It should be related to social sciences and the use of technology to further study human behavior.
    • Contribution to our BMS LAB identity;
    • Innovativeness, creativity, pioneering;
    • Involves a suiting multidisciplinary consortium;
    • Is likely to have an impact on society;
    • Is realistic, feasible, and scientifically rigorous
  2. You have to apply for ethical approval if data of participant is stored on BMS Lab services longer then 1 week.
  3. You are responsible for anonymizing your data.
  4. A valid OFI number has to be present in case funding is available.
  5. The BMSLab can only accept inquiries if it fits with the BMS Lab staff current expertise.


In 2015 the UT published the Research data policy UT. (link) This document sets out minimum criteria for the management and storage of data. Since the way in which research data is handled varies from one academic discipline to another, it is up to each faculty to supplement the university’s policies by setting up their own faculty data policy. These policies specify how scientists within the faculty are required to handle research data. Because of national and international laws, regulations and funder requirements, data management soon becomes very important for research department and researchers.

BMS data policy

The BMS data policy is available in Dutch & English (link). Many steps in improving the infrastructure, facilities and support have already been taken, which can be found on the BMS LAB website and IGS datalab website.

Good data management

Good data management is important, because it:

  • safeguards the quality of your research;
  • complies with funder requirements;
  • increases the impact and integrity of your research; and as such,
  • contributes to the BMS/UT’s research reputation.

The BMS faculty has, together with the IGS datalab and BMS-lab, many facilities for support in data management, tools for data collection, software/hardware for data analysis, data storage, processing and sharing of data. Furthermore, LISA provides support on research data management issues, and informs about the UT open science fund, consisting grants for your open access (OA) publications and OA research data.

Additional frameworks for the proper handling of data

The advisory report (link) formulated by the DSW Committee (Deans of social sciences faculties) concerning academic integrity, data storage and reproducibility (dated 06/01/2016). This advisory report is based on an appraisal of the data protocols used by the Social Science faculties of nine Dutch universities. There is consensus on a number of principles. The DSW Data Committee recommends that these be used as minimum standards. BMS has adopt these standards in their datamanagement policy.

For your research

With effect from 1 October 2016, before starting any research on human subjects, all BMS researchers and students are required to submit an application to the faculty’s Ethics Committee.

In 2015, an information security policy for the entire University of Twente was adopted which should be followed. In addition, BMS data policies should be followed which build upon these.

In addition, under the Data Leaks Reporting Obligation (Meldplicht Datalekken) (which was deployed on January 1th, 2016), it is mandatory for University of Twente staff to report all data leaks (known or suspected). This reporting requirement is the result of an amendment to the Personal Data Protection Act (now current). As from 25th of May 2018, the general data protection regulation (algemene verordening gegevensbescherming (AVG)) applies. This means, that from that date there is only one privacy law across EU. The Personal Data Protection Act (Wet bescherming persoonsgegevens (Wbp) will no longer be relevant.