READY FOR BIODATA MANAGEMENT? IS HOSTING A BACK-TO-BACK ONLINE EDITION OF THE "INTRODUCTION TO DATA MANAGEMENT PLANS" AND "ADVANCED DATA MANAGEMENT PLANS" COURSES ON OCTOBER 12TH AND 13TH.
Day 1: "Introduction to Data Management Plans" is an introductory course aimed at disseminating Data Management best practices and teaching the basics of making and using Data Management Plans (DMPs) in the context of research activities. It features two introductory lectures, respectively on Research Data Management and DMPs, followed by a hands-on DMP exercise where participants will form groups to fill in a DMP for a mock research project, using Google Spreadsheets. The produced DMPs will then be reviewed and discussed.
Day 2: "Advanced Data Management Plans" is a follow-up course aimed at empowering participants to make their own real Data Management Plan according to the Science Europe DMP Template (adopted by FCT) on an online platform. It features three lectures covering advanced concepts in data management, the Science Europe DMP Template, and Data Stewardship Wizard (the DMP creation tool that participants will use), followed by a hands-on session where participants create their DMP, either alone or in pairs, with assistance from the teachers. Participants are encouraged to bring their own research projects to be the object of their DMP.
Both courses will be delivered online, in real time, via Zoom.
For prior and/or further discussion around this topic use our Forum thread.
Researchers, Lab Managers, PhD and Master Students, other science professionals.
No prior knowledge required for day 1.
Basic knowledge of data management or participation in day 1 expected for day 2.
Maximum number of participants: 20
13:30 Lunch break
13:30 Lunch break
João Cardoso (BioData.pt/INESC-ID)
Daniel Faria (BioData.pt/INESC-ID)
Participants can register for one day or both through this form.
After registration, they will be required to pay a registration fee as listed in the table below.
The Ready for BioData Management? is one of the main outputs of the ELIXIR-CONVERGE project. This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement No 871075.