The QUEST 1,000 € Open Data Reuse Award
Make use of Open Data!
Open data sharing to increase robustness and value in biomedical research is becoming increasingly common. It is requested by many funders and journals, and both the Charité and the MDC have also signed the Berlin Declaration, which endorses the open sharing of research data. The rapidly growing amount of openly available data has also spurred the development of dataset search engines, which allow the location of relevant datasets. Corresponding to this development, the number of publications based on secondary data analysis, reusing open data, is also on the rise. However, it is still uncommon in many areas of biomedical research to base a study on secondary analysis of raw data. Thus, the QUEST Open Data Reuse award rewards publications which made use of publicly available datasets. The goal is to raise awareness for the importance of data as first-class research outcomes and the potential that data reuse has for contributing to innovation, interdisciplinarity and scientific progress.
The following criteria must be met for a publication to be eligible:
- The publication is predominantly based on reused data.
- The data were not generated by any of the co-authors (except if the collaboration itself was sparked by the respective co-author(s) sharing the reused datasets).
- The data used might be raw or pre-processed, but must be at a level of granularity substantially exceeding summary statistics.
- The majority of data was provided openly via public repositories, which can be all-purpose, disciplinary, or institutional repositories; thus, conversely, publications are not eligible if data in their majority were shared personally, for pay, or under a data sharing agreement or other usage restrictions.
- The dataset(s) used are properly acknowledged.
QUEST is giving away this award of 1,000 € to first/last/corresponding authors (BIH, MDC or Charité affiliation) of preclinical or clinical research papers published from 2017 onwards. Each paper can only receive one of the QUEST awards, and every researcher may apply for each award only once. Publications of authors (independent of the author’s position) which are also QUEST employees cannot be considered.
The award (travel costs or consumables) will be administered through MDC or Charité. Prizes can be spent until the end of 2019. Awards are given on an ongoing basis. Awardees will be featured on the QUEST web pages.
To claim your award, send an email with a short statement and the publication as attachments to firstname.lastname@example.org.
Publications of authors (independent of the author´s position) which are also QUEST employees cannot be considered.
Each researcher may apply to every call only once.
Open Data Reuse Award
- The publication "Pulmonary dysfunction and development of different cardiovascular outcomes in the general population" receives an Open Data Reuse Award. The publication is completely based on openly available data from the English Longitudinal Study of Ageing (ELSA). The authors used these data to investigate the pathobiology involved in the co-development of pulmonary dysfunction and cardiovascular disease. The article was published in 2018 in Archives of Cardiovascular Diseases (DOI: 10.1016/j.acvd.2017.07.001). Applicant: Dr. Bob Siegerink, Centrum für Schlaganfallforschung Berlin (CSB), Charité - Universitätsmedizin Berlin.
- The publication "CADD: predicting the deleteriousness of variants throughout the human genome" receives an Open Data Reuse Award. The publication describes the newest version of “Combined Annotation Dependent Depletion”, a tool for assessing human genomic variants. For its improvement, data from over 40 publicly available sources have been used, e.g. EBI ENSEMBL, ENCODE, and gnomAD. CADD is freely available online, with all code and data underlying it. The article was published in 2019 in Nucleic Acids Research (DOI: 10.1093/nar/gky1016). Applicant: Philipp Rentzsch, Computational Genome Biology, Berlin Institute of Health and Charité – Universitätsmedizin Berlin.