Frank Oliver Glöckner, Michael Diepenbroek, Dietmar Schomburg, Jörg Overmann, Antje Chang, Ida Schomburg, Lisa Jeske, Sandra Placzek, Janine Felden, Ivaylo Kostadinov, Lorenz Reimer, Uwe Schindler, (BioData) Daniel Arend, Uwe Scholz (GCBN) Wolfgang Müller (de.NBI-SysBio)
03-09-2018 to 07-09-2018, 9:00-18:00
Braunschweig Integrated Centre of Systems Biology (BRICS)
Research Data Management has been recognised as a central part of “Good Scientific Practice” already many years ago. In 2007 the OECD (Organisation for Economic Co-operation and Development) published recommendations that data from publicly funded research has to become publicly available. This was followed by a series of publications on the international and national level that emphasise the value of data sharing and publication for innovation and economy. The ability to compare and integrate research data will not only fuel individual research projects but is a cornerstone to address broad questions in health and disease management and global change.
The vision that we want to promote in the summer school is that 1) any scientist has easy access to research data, 2) scientists can share data across borders, 3) structures for long-term archiving are established, 4) infrastructures for data acquisition and management are available including specialists that support researchers with all aspects of the Data Life Cycle and 5) publishing of research data promotes the scientific reputation and career path.
The goal of this de.NBI summer school is to raise awareness for the importance of proper research data management in general but will also provide a practical toolbox for the acquisition, curation, documentation, archiving and publication of research data following the FAIR (Findable, Accessible, Interoperable and Re-usable) data principles. Furthermore, a practical training on accessing the data for re-use and integration are part of the learning goals.
The training course is targeted towards early career scientists like PhD students and Postdocs who want to share, archive and publish their research data.
No programming skills are necessary.
Basic knowledge about research data management would be a plus.
Research Data Management, Data Management Plan, Data Life Cycle, Ontologies, Standards, Data curation, Data archiving and publication, Data licensing, CBD, Nagoya protocol
GFBio, PANGAEA, BRENDA, SILVA, BacDive, e!DAL/PGP, SABIO-RK & FAIRDOM
Frank Oliver Glöckner