During the ceremony on 9 November, researchers of the BoschDoc database were awarded the prize in the humanities and social sciences category. Prof. José van Dijck spoke highly of BoschDoc, containing written sources dating back to 1800, about the late medieval painter Jheronimus Bosch. When explaining the jury's verdict, she highlighted the accessibility of the data. "Thanks to this impressive initiative, a large audience can easily access information from historical sources." The jury also considered the importance of the data's heritage when making its decision. "This database improves the perception of Dutch cultural heritage abroad. The researchers anticipated international interest in the painter by providing the sources in Dutch, English and Spanish. By establishing a link to the 2016 Bosch exhibition, BoschDoc has managed to introduce a wide audience to science, and that deserves the Data Prize."
In their acceptance speech winners A.M. Koldeweij, L. Scholten and R.C. Hage expressed their gratitude and stated that the verifiability of this historical material is very important to them.
AHCODA-DB won the prize in the medical and life sciences category. AHCODA-DB collects and publishes data from behavioural tests conducted on genetic mouse strains. "AHCODA-DB is an extremely rich data set. It plays an extremely important role in complementing data that have already been collected, in replications, comparisons and preparation for new research", according to José van Dijck. AHCODA-DB's outstanding interface also won praise. The jury chair furthermore emphasized the usefulness of data sharing in a scientific context and the pioneering role of this database. Making both published and unpublished data available is more efficient as it saves a lot of time, money and in this case, even spares the lives of animals. "This data set is a pioneer and a shining example in the provision of animal-testing data. AHCODA-DB is therefore a very deserving winner in this category and sets a great example for other fields of research."
M. Loos en A. Steenbergen, colleagues of the winning researcher B. Koopmans, stated that behaviour pattern tests are always published, but are difficult to find. They were pleased to contribute as a commercial company to sharing data with the public.
OpenML was crowned winner in the exact and technical sciences category. OpenML is an Open Science platform on which experimental data is collected from the field of machine learning algorithms. The jury was very impressed by the wide scope of the data; it covers various different disciplines in various scientific fields. According to the jury, the data are extremely well documented. As the chairman explained: "We awarded the prize to OpenML because it is a great example of the link between data science and practice. It also exemplifies the broad applicability of machine learning on any data sets you wish to use." She referred to the reusability of the platform: "OpenML facilitates the reuse of hundreds of thousands of existing machine learning experiments to respond to new research questions." Thousands of people are already using the data made available by OpenML, in both the academic and commercial sectors. "Another reason why we could not oversee this winner", the chairman added.
J. Vanschoren emphasized the importance of open data and the cooperation between the private and public sector in making data accessible. He was pleased that this is being brought into focus by winning the Data Prize.
All nine Data Prize nominees were thanked for their contribution to sharing and making research data accessible for reuse.