Register for the Beilstein Open Science Symposium 2020 - it's free and online!
Kirstine's bookmarks 2020-10-16
Summary:
Register for the Beilstein Open Science Symposium 2020 - it's free and online!
Enabling Open Science Online Symposium Beilstein Open Science Symposium 2020 October 27 & 28, 2020 / 3 - 6 pm (CET, UTC+1) Registration is free! Go to the symposium's website.
Scientific Program:
Martin G. Hicks and Carsten Kettner / Beilstein-Institut
Topics of the 2020 Symposium
This symposium will bring together information and data scientists, laboratory research scientists, publishers, funders and other interested parties to review critically their needs and concerns and discuss how they see the future of of Open Science developing. Open Science is aimed at improving the efficiency, quality and speed of scientific research through open and collaborative ways of sharing and communicating knowledge and data. Whether we are addressing specific global challenges such as medicines, sustainable energy generation and storage, food, better and cleaner water supplies, or more general ones such as global warming, we need to develop solutions at a faster pace than has been done up to now. To enable this, we need to build bridges and take down barriers. Driving research collaborations effectively requires new and powerful infrastructures to not only be developed, but also to be accepted by the wider research community. This includes the development of standards for data reporting, meta-data and exchange formats that allow easy indexing and findability, as well as the use and exchange of data and information (FAIR Data) particularly within an interdisciplinary environment. Technical innovations are, however, only part of the story; just as important are the changes in culture and incentives that will make depositing and sharing data the norm.
Speakers Confirmed
Stuart Chalk / University of North Florida, Jacksonville, USA
Mercè Crosas / Harvard University, Cambridge, USA
Henning Hermjakob / EBI Hinxton, UK
Heather Joseph / SPARC, Washington, USA
Thomas Lemberger / EMBO Press, Heidelberg, Germany
Jürgen Pleiss / University of Stuttgart, Germany
Roškar Rok / Swiss Data Science Center, Zurich, Switzerland
Vin Scalfani / The University of Alabama, Tuscaloosa, USA
Andrej-Nikolai Spiess / University Hospital Hamburg-Eppendorf, Germany
Katy Wolstencroft / Leiden University, The Netherlands