08/09/2020: Einführung in das Dataverse Repositorium (GRO.data).

Mit Dataverse können Forscherinnen und Forscher ihre Forschungsdaten dauerhaft sichern, sie nachhaltig und qualitätsgerecht öffentlich im Open Access zur Verfügung stellen (publizieren). Die Forschungsdaten erhalten bei der Datenpublikation einen persistenten Identifikator.

Jede Forscherin und jeder Forscher der Stiftung Universität Hildesheim kann ihr/sein institutionelles Konto nutzen (‘Log-In’ über die Academic Cloud: https://academiccloud.de/) und ein persönliches „Dataverse“ anlegen, um Forschungsdaten als „Datasets“ hochzuladen. Der Service GRO.data wird von der GWDG gehostet, die sich um Datensicherheit und -schutz, einschließlich Backups und Zugriffskontrolle sowie um die Verfügbarkeit und Zuverlässigkeit, kümmert.

Péter Király von der eResearch Alliance gibt am 8. September 2020 eine Einführung in GRO.data (Sprache: Englisch).

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

Weitere Informationen finden Sie unter diesem Link:

https://www.eresearch.uni-goettingen.de/news/08-09-2020-introduction-to-gro-data/

08/09/2020: Introduction to GRO.data – Dataverse – Research Data Repository.

Happily spreading the word to inform interested colleagues and researchers about the next event of the eResearch Lab which will be on 8th September 2020.

The topic is working with GRO.data the research data repository based on Dataverse, the repository software also used at Hildesheim University Foundation in cooperation with the eResearch Alliance in Göttingen.

https://www.uni-hildesheim.de/bibliothek/forschen-publizieren/dataverse/

Here are the details:

Date: 08 SEP 2020
Time: 14h – 15:30h
Tool: BigBlueButton – https://meet.gwdg.de/b/pet-dq7-3jd
Lecturer: Péter Király
Language: English

08/09/2020: Introduction to GRO.data

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/

Introduction to GRO.data, the research data repository of the Göttingen Campus

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)