Contribute data to the WoSIS effort
Your soil profile data can contribute to improving world soil information!
Below we describe how you and your organisation may share soil profile data for consideration in the World Soil Information System (WoSIS) and related global soil mapping activities (SoilGrids) for the greater benefit of the international community.
A wide range of data providers have already contributed data to the WoSIS effort, for which we are grateful. Nonetheless, many countries are still poorly represented in WoSIS. Such geographic and soil taxonomic gaps can only be filled with your participation!
Soilgrids portal showing number of profiles in WoSIS per country
By contributing additional point data, improved digital soil maps (SoilGrids) for the world can be generated; for specific regions or countries, these can be used as a covariate to improve prediction of soil properties through a digital soil mapping approach .
Profile-related data for consideration in WoSIS may be submitted in various ways:
1. For digital data sets, please send us an e-mail with a short data set description as well as the URL to the digital data set or the compressed dataset itself as attachment.
2. Analogue data should be entered using a template with standardised variable names. Preferred formats are described in the WoSIS Procedures Manual. Default templates are available in two formats (LibreOffice and MicroSoftOffice), see here.
We recommend you contact the WOSIS support team before preparing a dataset  in order to discuss important details and to ensure that your (and our) time is wisely spent.
ISRIC strongly encourages all contributors to assign a DOI (Digital Object Identifier) to their unique datasets. DOI's provide persistent access to a dataset and assign the dataset a unique identifier which can then be cited in WoSIS and elsewhere. There are several international organisations that issue DOI's such as Dataverse (via DANS or Harvard), Pangaea or Zenodo. In specific cases, ISRIC WDC-Soils can also mint DOI's for datasets.