| Tuesday, 26 November 2019 |
| How to increase FAIRness of your research - an HBP training course about data sharing |
| SESSION 1: INCREASE FAIRness - GENERAL RULES AND GUIDELINES |
08:30
| | Registration | |
09:00
| | Welcome & Introduction: what is FAIR? | |
09:15
| | Order your data universe - 11 rules for organising data. | |
09:30
| | Exercise 1.1: creating a consistent repository for an example data set. | |
10:00
| | Tell the story of your repository - guidelines for a meaningful data descriptor. | |
10:15
| | Leave a trail of metadata - readable clues for humans and machines | |
10:30
| | Coffee Break |
11:00
| | Exercise 1.2: extract and organise metadata from an example data set. | |
11:30
| | Spinning the research web - rules for creating metadata graphs. | |
11:45
| | Exercise 1.3: built a metadata graph that describes the example data set. | |
12:15
| | Round table: summary of solutions / discussions / questions | |
12:30
| | Lunch Break |
| SESSION 2: INCREASE FAIRness - IMPROVE YOUR OWN RESEARCH |
13:30
| | Forming interest groups: who brought what? | |
13:45
| | The HBP Knowledge Graph (KG) system - how to edit and how to search. | |
14:15
| | MINDS as building blocks of the KG - what you enter and what you see. | |
14:30
| | Exercise 2.1: integrate a MINDS representation for your own data in the KG. | |
15:30
| | Coffee Break |
16:00
| | SAND as block extension of the KG - towards visual integration of your data in the HBP atlas viewers. | |
16:15
| | ... continue Exercise 2.1 | |
17:00
| | Round table: summary of solutions / discussions / questions | |
18:00
| End of the training course |
19:30
| Social dinner shared with parallel events @Kulturbrauerei, Heidelberg old town (see map) |
Contact: bjoern.kindler@kip.uni-heidelberg.de