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The OpenEarth philosophy related to data involves that important data sets, rather than working on a project-by-project basis, should be collected and be made available in a project-superceding manner.

OpenEarth intends all datasets to conform with a number of basic quality criteria:

  • data is not just numbers and meta-information, but consists of raw data produced by the measuring equipment (e.g. volts) + processing scripts.
  • raw data should be stored in the OpenEarthRawData repository enabling version control
  • raw data should then be enriched with metadata and processed into useful data products (netCDF) using transformation scripts also put under version control in a repository
  • resulting data products should conform to the best open source standards available
  • data products should be made available easily via webbased interfaces but also with automated procedures for widely-used data processing languages (matlab, IDL, python, fortran, C, java)
  • data products are primarily meant for dissemination, raw data and scripts are primarily meant for archiving.

To achieve this international standards are embraced like:

The data collection procedure and the relation between those standards is explained in the OpenEarth Data Standards document, developed in the framework of the EU FP7 Project MICORE. Currently data sets are being uploaded to the OPeNDAP test server. Examples from open datasets from the internet on OpenEarth include:

Numerous other datasets have been or are being uploaded continually in the MICORE and Building with Nature research programmes.

Some related initiatives (which OpenEarth does not intend to compete with, but to share with and to learn from):

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