databases > DOI:10.25504/FAIRsharing.nv6mrg
Update in progress: note to all users. FAIRsharing is always available for you to search and discover databases, standards and data policies. However, for producers of these resources who maintain or wish to add new records, please note that editing is disabled until September while we migrate our data to our new, improved system. Read our blog post or get in touch with us for more details.
21/09/21 Ongoing Network Maintenance: From the 21st of September FAIRsharing may be offline at various point during the day; we apologise for any inconvenience.

ready G-Node Data Infrastructure Services

Abbreviation:GIN

Recommended
General Information
The German Neuroinformatics Node's data infrastructure (GIN) services provide a platform for comprehensive and reproducible management and sharing of neuroscience data. Building on well established versioning technology, GIN offers the power of a web based repository management service combined with a distributed file storage. The service addresses the range of research data workflows starting from data analysis on the local workstation to remote collaboration and data publication.

Homepage http://gin.g-node.org

Countries that developed this resource Germany

Created in 2016

Taxonomic range

Knowledge Domains 

User-defined Tags





How to cite this record FAIRsharing.org: GIN; G-Node Data Infrastructure Services; DOI: https://doi.org/10.25504/FAIRsharing.nv6mrg; Last edited: Oct. 12, 2020, 11:57 a.m.; Last accessed: Sep 25 2021 11:10 p.m.


This record is maintained by twachtler  ORCID

Record added: Oct. 13, 2017, 3:30 p.m.
Record updated: Oct. 12, 2020, 11:40 a.m. by The FAIRsharing Team.

Show edit history


Support

General

Additional Information



Access / Retrieve Data

Conditions of Use

Applies to: Data use

Data Access


REST Web Services



Publications

No publications available


Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

No semantic standards defined

Models and Formats

Identifier Schemas

Metrics

No metrics standards defined


Related Databases

No related databases defined