Who won the 2016 Dutch Data Prize?

The Dutch Data Prize awards the efforts of researchers who collect and document data in order to make the data accessible to others.

Winners and Nominations

This year, prizes are awarded in three categories: 1) humanities and social sciences, 2) exact and technical sciences and 3) medical and life sciences.
BoschDoc, AHCODA-DB and OpenML won the Data Prize 2016
The following researchers/research groups were nominated for the Dutch Data Prize 2016:

Humanities and Social Sciences category

  • BoschDoc (winner)
    R.C. Hage, A.M. Koldeweij , Radboud University, Faculty of Arts – Art
    BoschDoc brings together all known written sources about Hieronymus Bosch, at least until 1800. Interest in this painter is more than just hype, and this database offers academics and other interested parties an easy way to become acquainted with the historical sources on the subject, including all associated information.
  • ETCBC database of the Hebrew Bible
    Prof.dr. W.T. van Peursen, VU University Amsterdam, Faculty of Theology
    This database contains the full text of the Hebrew Bible (the Old Testament), complete with extensive philological annotations.
  • UCU Accent Project (LUCEA)
    R. Orr en H. Quené, Utrecht University
    This dataset has been collected in order to research phonetic convergence in English accents in a multilingual environment, University College Utrecht.

Medical and Life Sciences category

  • AHCODA-DB (winner)
    B. Koopmans, Sylics

    Behavioural tests on genetic mouse strains; (raw and processed) data about 21 different genetic mouse strains (N=1459 mice in total) from 17 classic tests and 17 new automated tests (2419 parameters in total).
  • FEM (Forest Ecology and Forest Management) Growth and Yield Data
    J. den Ouden, Wageningen University

    This dataset contains measurement data from a large number of permanent test areas in forests covering a range of tree species and forest types for the 1923-2000 period; very extensive (standardised) measurements of individual trees.
  • Radiomics for Lung
    A. Dekker, MAASTRO Clinic

    Collection of CT scans and clinical data from 422 lung cancer patients (a total of 50k images and 25 GB).

Exact and Technical Sciences category

  • OpenML (winner)
    J. Vanschoren, Eindhoven University of Technology
    OpenML collects (experimental) data in the field of machine-learning algorithms and their specific use/efficiency in various scientific domains. The aim is to develop and validate algorithms and models, partly by reusing machine-learning methods and techniques across various domains.
  • DURAARK Dataset
    Thomas Krijnen, Eindhoven University of Technology

    This set combines expert-modelled building models and point cloud scans with a view to conducting a systematic analysis based on new and published metadata schemes. The data and derived models can be used, among other things, in designing buildings that are more suitable for habitation and to gain greater understanding of how existing buildings are used in reality.
  • World Energy Grid
    G. Schoof, RU Groningen
    This dataset is a geographically accurate topological model of the European electricity supply. An open dataset of this kind is essential to the academic community for researching, for example, the effect of the integration of renewable energy on the stability, cost and efficiency of the electricity supply. Access to this data makes new, data-driven academic research possible, including the development of new models and societal impact studies.


The winners received a sculpture and €5,000, to be spent on making their datasets more accessible, e.g. by organising a symposium or putting the data online.

Award ceremony

The award ceremony was held on Wednesday afternoon, 9 November, at NWO (building Java) in The Hague.


Time             Activity
14.00   Welcome
14.15Kick off plenary program
• Word of welcome - Peter Doorn, director DANS (slides)
• Importance of Research Data Netherlands & National Coordination Point Research Data Management for researchers - Ingeborg Verheul, Coordinator National Coordination Point Research Data Management, SURFsara (slides)
• The increasing need to work with the private sector - Alastair Dunning, coordinator 4TU.Centre for Research Data (slides)
14.45Break with poster presentations by the nominees
BoschDoc - ETCBC - LUCEA (humanities and social sciences)
AHCODA - FEM - Radiomics (medical and life sciences)
DURAARK - OpenMLWorld Energy Grid (exact and technical sciences)
• Radboud University case: research data management support as main activity of library support - Mijke Jetten, Project Manager research data management, Library Radboud University (slides)
• Showcase: research data management in an academic hospital - Rudy Scholte, Head data management, Academic Medical Center Amsterdam (slides)
• Quick course: online search and find - Ewoud Sanders, language historian en journalist (slides)
16.15    Award ceremony - José van Dijck, President KNAW and President of the Dutch Data Prize jury 
16.30Drinks and networking



Judging panel

The jury for the Dutch Data award was this year composed of:

  • prof. dr. J.F.T.M. (José) van Dijck, president KNAW
  • prof. dr. Th.L.M. (Theo) Engelen and prof. dr. F.M.G. (Franciska) de Jong (humanities and social sciences)
  • prof.dr. J. (Jakob) de Vlieg and prof. dr. H. (Ed) Brinksma (exact and technical sciences)
  • prof. R.P. (Ronald) Stolk, MD PhD and prof. M. (Marcel) Reinders (medical and life sciences). 

Who was eligible for nomination?

In order to be eligible for the Dutch Data Prize, the nominee's data must meet the following conditions:

  • The data must be in a 'trustworthy digital repository', such as a DSA-certified repository;
  • The data, or the research potential enabled by them, must be of (inter)national importance;
  • The data must make it possible to answer new research questions or identify new answers to old questions;
  • The manager or depositor of the data has made efforts to ensure that the data will be accessible and usable for others in the long term (for example demonstrated by high-quality metadata/documentation);
  • The data must be used extensively, or have this potential.


If you have any questions about the Data Prize, please contact Robin Duinker.

Enthousiast winners last years 

  • "Show how good your database or dataset is! For us, the Data Prize has been a jewel in our crown.” Kees Mandemakers, 2010 Data Prize winner
  • "Being awarded the Data Prize, even being nominated, underlines the importance of your work. It feels good.” Maarten Marx, 2012 Data Prize winner
  • "Winning the Data Prize indicates that we are on the right track.” Mark van Koningsveld, 2012 Data Prize winner
  • "The Data Prize is a confirmation that we’re heading in the right direction.” Martine de Bruin, 2014 Data Prize winner
  • "Winning the Data Prize allows us to make important improvements we have long desired.” Marijke Dekker, 2014 Data Prize winner

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