Contribute to GEOROC

Contribute Data

If your data are not yet included in GEOROC, we invite you to submit data files that accompany one of your past publications or a new manuscript to the DIGIS Data Repository.

The DIGIS Data Repository is a research data repository in the Earth Sciences domain with a specific focus on geochemical data. It is jointly curated by DIGIS and GFZ Data Services and hosted as a GFZ Data Services repository. The DIGIS Data Repository archives, publishes and makes accessible user-contributed, peer-reviewed research data that fall within the scope of the GEOROC and similar databases.

Please note that it is DIGIS policy to publish datasets only if they are associated with a research publication. Any exceptions from this rule requires exceptional justification and a case-specific decision by DIGIS data curators.

Further details and data submission templates are available in the repository guidelines and policies. For any inquiries or issues, please contact the DIGIS curatorial staff at digis-info@uni-goettingen.de.

There are different types of datasets you can publish with the DIGIS Data Repository:

1. New Datasets:
First publication of new analyses associated with a new manuscript as part of the journal submission and review process.

2. Expert Datasets:
First publication of new data combined with a compilation of data from previous publications, associated with a manuscript in the journal submission and review process.

3. Compiled Datasets:
Data aggregated from previous publications including only previously published data. The value of such data collections serves a specific research topic and is based on data selection, filtering and (re)structuring according to the scope of an associated published journal article.

4. Collected Datasets
Collection of data on the same samples, however, from a range of different previous publications. Such data collection may or may not be associated with a published manuscript or the journal submission and review process. Data collections from scattered publications on the same sample materials serve the community to enhance the value of each published individual data and the associated analyzed samples.