Data Mining

The term data mining refers to the process of gathering data, analyzing it and summarizing it into useful information. The data management system of the GTN-P oversees permafrost data submission, archival, storage, and dissemination of a wide range of permafrost data.

The aim of the GTN-P Database is to include a wide range of permafrost data. Read more on data categories and how they are incorporated in the database:

Quantitative Data (including all kinds of measurements), completed by how you can submit data, how data can be extracted, analysisstatistics and integration

In the future, the Data management system should also include Qualitative Data (Knowledge Products).


Data Management System

The GTN-P database is the free, open-source central database for permafrost monitoring parameters.

Read more on general information on the GTN-P Database and background, aims and framework of the GTN-P Database.

In the development section you find information on system setup, database versions, infrastructure, data modelisation, visualization and issues.

Additional applications include web services and netCDF.

Policy: Read more on data policies, data security and citation rules.


Permafrost Thesaurus

The data management system is organized along a controlled vocabulary in order to reduce ambiguity and the contribution to common grounding and shared understanding. We also link to the permafrost thesaurus, a glossary of nearly 600 permafrost-related terms. The work on a permafrost ontology, an organized vocabulary showing the interrelationships of terms, is in progress.


Factsheet GTN-P Database

On a  continuously updated fact sheet we present the status of the GTN-P database showing the amount of included data.

Strategy and Implementation Plan