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In 2019 wird das Verfügbarmachen von Open Data in allen Publikationen – ohne gesonderten Antrag durch den/die Autor:in – mit zusätzlichen Mitteln inzentiviert, wenn Erst- und/oder Letztautor:innenschaft der Charité oder des MDC besteht. Der zulässige Publikationszeitraum ist hierbei 2015 - 2017. An der Charité erfolgt dies parallel zur LoM (Leistungsorientierte Mittelvergabe), am MDC über eine separate Mittelvergabe.

Da Daten immer einfacher zugänglich sind und die Bedenken aufgrund einer mangelnden Transparenz und Belastbarkeit in der Forschung steigen, wird Open Data in der Biomedizin immer häufiger als Standardpraxis gefordert. Die gemeinsame Datennutzung ermöglicht eine Zusammenführung der Daten von mehreren Untersuchungen. Sie bereiten durch Datenaggregation und Big Data den Weg für neue Methoden und Erkenntnisse, wodurch die Glaubhaftigkeit der Wissenschaft und der Ergebnisse gesteigert wird.

Viele Fachzeitschriften (z. B. Nature) und Fördergeber:innen (z. B. Europäische Gemeinschaft) fördern Open Data und die FAIR-Grundsätze. Leider waren die Umsetzung und die Akzeptanz seitens der wissenschaftlichen Gemeinschaft bis jetzt uneinheitlich und langsam.

Um das Konzept der FAIRen Daten zu fördern, verleiht QUEST diesen Preis im Wert von je 1.000 € für die Erst-/Letzt-/Korrespondenzautor:innen (mit BIH, MDC oder Charité Affiliation) von Forschungsarbeiten, die ihre Originaldaten in Form von Zitaten in den Referenzen der Veröffentlichung über persistente Identifier eines Open Repository (offenes Archiv), in dem die aufbereiteten Daten hinterlegt sind, zur Verfügung stellen. Die Daten müssen aufbereitetet und mit ausreichenden Metadaten (oder mit gemeinsamen Datenelementen) angereichert und für eine automatisierte Extraktion zugänglich sein. Zu den zulässigen Repositorien gehören Dryad, Figshare, Zenodo und viele andere offene Repositorien (offene Archive). Es sind Veröffentlichungen aus der präklinischen, translationalen sowie klinischen Forschung zur Teilnahme berechtigt. Es werden Veröffentlichungen ab Januar 2016 akzeptiert. 

Die Preismittel (Reisekosten oder Verbrauchsmittel) werden vom MDC oder der Charité verwaltet. Die Preismittel, die ab Oktober 2018 vergeben werden, können bis Ende 2019 ausgegeben werden. Die Preise werden fortlaufend vergeben. Die Preisträger:innen werden auf den QUEST-Internetseiten veröffentlicht.

Um sich für den Preis zu bewerben, schreiben Sie bitte eine E-Mail mit einer kurzen Stellungnahme und der Veröffentlichung an quest@bihealth.de.

Publikationen mit Autor:innen (unabhängig von der Autor:innenposition), die auch Mitarbeiter:innen des QUEST Centers sind, können nicht berücksichtigt werden.

Jede/r Wissenschaftler:in kann sich nur einmal pro Preis bewerben.

Geförderte Publikationen: 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.

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