Next events of the Göttingen eResearch Alliance: GRO.data, 02 & 15 Dec 2020
GRO.data is a research data repository available free of charge for the members of the Göttingen Campus.
Data Management Planning in the context of the service GRO.plan.
Date: 02 December 2020
Time: 14h – 15:30h
Place: BigBlueButton – https://meet.gwdg.de/b/tim-pqh-amd-muj
Topic: Introduction to Data Management Planning with GRO.plan
Lecturer: Timo Gnadt
Description: Do you need to write a Data Management Plan for a research proposal? Have you ever wondered what exactly should be the contents of such a plan? Do you need help in finding suitable answers to data management requirements from your funding agency?
Get to know various aspects of Data Management Planning, and learn how to use the tool GRO.plan for writing, administrating and tracking your Research Data Management Plan throughout your project(s).
Working with GRO.data – the research data repository for the Göttingen Campus.
Date: 15 December 2020
Time: 11h – 12:30h
Tool: BigBlueButton – https://meet.gwdg.de/b/pet-dq7-3jd
Lecturer: Péter Király
- Data upload
- Metadata scheme
- Changing data in the repository
- Publishing data
- Q & A
GRO.data is a research data repository available free of charge for the members of Göttingen Campus. Its purpose is to enable publication of research data alongside with their description (metadata). The data gets a persistent identifier (DOI), and its metadata are propagated to the central DOI database, which is used by different discovery services. GRO.data provides versioning, data citation, file previews, assignment of licenses, restricting files (and granting access). It also provides place for organizations (departments, research groups, journals) to manage member participations via customisable roles and responsibilities. Almost all the functionalities of the service are available via APIs, so one can easily build an automated communication channel between a research software (such as document management systems, lab notebooks) and GRO.data. GRO.data is based on the open source Dataverse tool.