The 1,000 € QUEST Open Data Award (CLOSED)

Make your data FAIR - Findable, Accessible, Interoperable, and Re-usable!

 

--- (In 2019, the making available of Open Data in all publications will be rewarded - without a separate application by the author - with additional funds if a first and/or last authorship of the Charité or the MDC exists. The permitted publication period is 2015-2017. At the Charité this takes place in parallel to the "LoM" distrubtion (performance-oriented allocation of funds), at the MDC via a separate allocation of funds.) ---

Spurred by the increased ease of making data available, and growing concerns regarding a lack of transparency and robustness of research, calls for open data as a standard practice are occurring across biomedicine. Sharing data allows to aggregate data across multiple investigations and gives rise to the opportunity for novel methodologies and insights through aggregation and big data, and increases credibility of science and the findings. 

Many journals (e.g. Nature) and funders (e.g. European Union) are promoting open data and the FAIR principles. Unfortunately, implementation and uptake by the community have been patchy and sluggish.

To foster FAIR data, QUEST is giving away these awards of 1,000 € to first/last/corresponding authors (BIH, MDC or Charité affiliation) of research papers which have unconditionally shared their original data by citing them in the references of the paper via the persistent identifier of an open repository containing the annotated data. Data must be annotated and enriched with sufficient meta data (or common data elements) and accessible to automated extraction. Eligible repositories include Dryad, Figshare, Zenodo, and many other open repositories. Basic, translational as well as clinical studies are eligible. Papers must have been published 2016 onwards. 

The award (travel costs or consumables) will be administered through MDC or Charité. Prizes awarded from October 2018 onwards 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 to quest@bihealth.de.

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. 

FUNDED PUBLICATIONS

Open Data Award

  1. The publication "Polyglycerol-opioid conjugate produces analgesia devoid of side effects" receives a QUEST Open Data Award for providing access to the raw data of the findings of this preclinical study. Raw data can be found via an attached DOI and is made accessible below each figure or table. The article was published 2017 in Elife (DOI:10.7554/eLife.27081). Applicant: Prof. Christoph Stein, Klinik für Anaesthesiologie und operative Intensivmedizin, Charité Universitätsmedizin Berlin.

  2. The publication "A nontoxic pain killer designed by modeling of pathological receptor conformations" receives a QUEST Open Data Award for providing access to the raw data in this preclinical study. Access is indicated in the acknowledgment section. The article was published 2017 in Science (DOI: 10.1126/science.aai8636). Applicant: Giovanna Del Vecchio, PhD, Klinik für Anästhesiologie und operative Intensivmedizin, Charité Universitätsmedizin Berlin.

  3. The publication "Widespread activation of antisense transcription of the host genome during herpes simplex virus 1 infection" receives a QUEST Open Data Award for the transparent and reproducible provision of the gene database. The data are accessible, findable as well as reusable to other research groups or individuals. The article was published 2017 in Genome Biology (DOI:10.1186/s13059-017-1329-5). Applicant: Dr. Emanuel Wyler, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association.

  4. The publication "High Zika Virus Seroprevalence in Salvador, Northeastern Brazil Limits the Potential for Further Outbreaks" receives an OPEN DATA award for the publicly accessible and findable provision of the codes for the prediction model as well as the underlying database - the cumulated number of incident cases. With the provided information, it is possible to reproduce the model that lead to the reported results. Furthermore, other researchers investigating patterns in Zika Virus epidemiology can use and further develop the model. The sharing of the raw data and the model contributes to the comparability of regional data and supports the timely implementation of preventive and disease control measures. The article was published 2017 in mBio (DOI:10.1128/mBio.01390-17). Applicant: Prof. Drexler, Institute of Virology, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.

  5. The publication "RNA polymerase II primes Polycomb-repressed developmental genes throughout terminal neuronal differentiation" receives an OPEN DATA award for providing access to the raw data of the study. The publication reports in a data availability section the deposit of the raw data to a repository, the genomic expression omnibus (GEO) from where datasets can be searched and downloaded for reuse. The article was published 2017 in Molecular Systems Biology (DOI: 10.15252/msb.20177754). Applicant: Elena Torlai Triglia, Berlin Institute for Medical Systems Biology at the Max-Delbrück-Center for Molecular Medicine (MDC) in the Helmoltz Association.

  6. The publication "Same‑day genomic and epigenomic diagnosis of brain tumors using real‑time nanopore sequencing" receives an OPEN DATA award for the provision of findable and publicly accessible raw data as well as scripts, which allows third parties to reproduce all of the findings that are reported in this study. The article was published 2018 in Acta Neuropathologica (DOI: 10.1007/s00401-017-1743-5). Applicant: Dr. Philipp Euskirchen, Department of Neurology, Charité Universitätsmedizin and Berlin Institute of Health (BIH).

  7. The publication "Microscale 3D liver bioreactor for in vitro hepatotoxicity testing under perfusion conditions" receives an OPEN DATA award for providing access to the raw data underlying the results of this study. The raw data are deposited on the repository Zenodo (zenodo.org). Access is indicated in the results section and a link to the data is provided below each figure making the data findable as well as relatable to the displayed figure. The article was published 2018 in Bioengineering (DOI: 10.3390/bioengineering5010024). Applicant: Nora Freyer, M.Sc., Berlin-Brandenburg Center for Regenerative Therapies (BCRT), Charité Universitätsmedizin Berlin. 

  8. The publication "Genomic Characterization of Murine Monocytes Reveals C/EBPb Transcription Factor Dependence of Ly6C– Cells" receives an OPEN DATA award for providing access to the raw data of the study. In a data availability section, the authors report the deposit of the raw data to a repository, the genomic expression omnibus (GEO) from where datasets can be searched and downloaded for reuse. The article was published 2018 in Immunity (DOI: 10.1016/j.immuni.2017.04.018). Applicant: Dr. Alexander Mildner, Max Delbrück Center for Molecular Medicine, 13125 Berlin, Germany. 

  9. The publication "Priming in a shape task but not in a category task under continuous flash suppression" receives an OPEN DATA award. The authors provide open access to the raw data of the relevant findings by uploading the data files to the repository figshare. The data availability is indicated in the footnote section of the publication. The article was published 2016 in the Journal of Vision (DOI: 10.1167/16.3.17). Applicant: PD Dr. Guido Hesselmann, Visual Perception Laboratory, Department of Psychiatry & Psychotherapy, Charité Universitätsmedizin Berlin, Charité Campus Mitte.

  10. The publication "The Drosophila embryo at single-cell transcriptome resolution" receives an OPEN DATA award. The authors provide open access to the raw data underlying their results by uploading the data files to the GEO database. Further, code of the computational analysis is freely available on GitHub. Data availability is indicated in the acknowledgements section of the publication. The article was published 2017 in Science (DOI: 10.1126/science.aan3235). Applicant: Dr. Nikos Karaiskos, Systems Biology of Regulatory Elements Berlin, Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine.

  11. The publication Loss of the hematopoietic stem cell factor GATA2 in the osteogenic lineage impairs trabecularization and mechanical strength of bone receives an OPEN DATA award. The authors provide open access to the raw data underlying their results by uploading the data files to the GEO database. Additional data were shared as supplemental material to the publication. The article was published 2018 in Molecular and Cellular Biology (DOI: 10.1128/MCB.00599-17). Applicant: Prof. Dr. Michael Schupp, Institute of Pharmacology, Charité Universitätsmedizin Berlin.

  12. The publication DNA methylation-based classification of central nervous system tumours receives an OPEN DATA award. The authors developed a classifier for tumours of the central nervous system, based on DNA methylation, and this classifier is made freely available online. In addition, the sequencing data used for its development and validation are shared via the GEO database, and all data underlying the publication’s figures are provided in the online version. The article was published 2018 in Nature (DOI: 10.1038/nature26000). Applicant: Prof. Dr. David Capper, Institute of Neuropathology, Charité Universitätsmedizin Berlin.

  13. The publication “Uncertainty Quantification for Non-invasive Assessment of Pressure Drop Across a Coarctation of the Aorta Using CFD” receives an OPEN DATA award. The study conclusions were based in large part on aortic geometries from patients, and these were made freely available via the Figshare repository. The public availability of the raw data is clearly stated within the article, and a link provided. The article was published 2018 in Cardiovascular Engineering and Technology (DOI: 10.1007/s13239-018-00381-3). Applicant: Jan Brüning, Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité – Universitätsmedizin Berlin.

  14. The publication “Hodge decomposition of wall shear stress vector fields characterizing biological flows”receives an OPEN DATA award. The study presents a specific type of decomposition as a tool for the analysis of wall shear stress, applicable to coarctations of the aorta. The model data and source code were provided via the Dryad repository, and the data are clearly linked from the article. The article will be published in Royal Society Open Science in early 2019. Applicant: PD Dr.-Ing. Leonid Goubergrits, Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité – Universitätsmedizin Berlin.