Veranstaltung
Introduction to GRO.data| Titel der Veranstaltung | Introduction to GRO.data |
| Reihe | eResearch Lab |
| Veranstalter | Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) |
| Referent/in | Péter Király |
| Einrichtung Referent/in | Gesellschaft für wissenschaftliche Datenverarbeitung |
| Veranstaltungsart | Fortbildung |
| Kategorie | Forschung |
| Anmeldung erforderlich | Nein |
| Beschreibung | The tutorial introduces the usage of GRO.data alongside the basic concepts of research data management (data, metadata, data collection, data citation, persistent identifiers etc.). It shows how to log in, create a dataset, metadata, how to collaborate with peers. The format is a mixture of presentation and a hands-on session. Duration: 1 -1,5 hour (depending on the questions and the special use cases of the audience) Requirement(s): notebook (only if one would like to participate in the hands-on session) Date: 08 SEP 2020 Time: 14h – 15:30h Tool: BigBlueButton – https://meet.gwdg.de/b/pet-dq7-3jd Lecturer: Péter Király Language: English Topics: Data upload Metadata scheme Changing data in the repository Publishing data Description: 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. Service URL: https://data.goettingen-research-online.de/ |
| Zeit | Beginn: 08.09.2020, 14:00 Uhr Ende: 08.09.2020 , 15:30 Uhr |
| Ort | https://meet.gwdg.de/b/pet-dq7-3jd |
| Kontakt |
39-30271 Lena.Steilen@gwdg.de |