Short description
The IG 'Geology & Geophysics'
(I3G) within the framework of NFDI4Earth addresses the growing digital requirements
of the individual disciplines and sub-disciplines within geological and
geophysical sciences. The I3G focuses on the data infrastructure needs
of scientists and engineers who are open to share their data and
software developments across disciplinary boundaries.
Topics
1. Data Queries focusses on
improving metadata schemes on information systems and archives, as well as
fuzzy search algorithms, spatial queries and queries referring to
time-depth-litho relationships. This topic will tackle the consequent
implementation of DOIs, ORCIDs and other national or international persistent
identifiers in repositories. It has strong links to INSPIRE, OGC-CWS, OWL, RDF
and Open Science initiatives.
2. Data Services will tackle
standardization issues for interoperability, develop algorithms for data
visualization, selection, including innovative concepts such as 3D subsurface
data services, ontologies, artificial intelligence and machine learning.
3. Data Formats and Vocabularies covers all efforts in establishing, improving and promoting Open Data
formats for geoscientific data. For example, the BoreholeML markup language
developed by the Geological Surveys in Germany is successfully used for the
exchange of borehole data. However, other exchange formats also exist (e. g. GeoSciML, SEP-3 etc.) and conversion tools need
to be developed. Other examples are vocabularies (e.g. LithoLex of the German
Geological Survey BGR). Connecting such vocabularies to information systems or
databases would significantly increase their usefulness.
4. Analytics will develop data
analytics frameworks for data curation and processing. Envisioned use cases are
for instance geostatistics, parallel simulations or the introduction of
knowledge discovery and machine learning or artificial intelligence approaches
for optimized or (semi-)automated seismic data interpretation and attribute
analysis. Another field of interest is the development of artificial
intelligence algorithms for the interpretation of logs and time series.
5. Analogue to Digital focuses on imaging
methods to rock and mineral samples as well as outcrops and their inclusion in
digital collections (e.g. IGSN, OutcropWizard). Machine learning algorithms
could be applied to scanned logs and seismic recordings in order to decipher
analogue data resources. The objective is to preserve data and knowledge about
the subsurface.
6. Quality covers all
measures to assess or improve the usability, certainty, precision, and
unambiguousness of data. Geoscientists often face the problem that complex data
products like maps or 3D models do not come with a comprehensive documentation
of all raw data included and processing steps applied and neither with a
documentation of model uncertainty. Standardized workflows, versioning and
documentation templates are envisaged to help to assess the usability and
optimization potential of complex data products. Further measures establish
common criteria to evaluate the qualities of geoscientific data. In the future,
scientific data products will go through a peer-review process like today's
scientific papers.
7. Multi-purpose 3D information systems will combine all of the above-mentioned tasks in the
effort to develop a best practice example of an online information system for
parameterized 3D geological models for spatial subsurface planning of
economically and socially relevant geoscientific topics based on existing
platforms (e.g. GeotIS, GeORG, WSM, etc.).
Illustrating material & further links
N4E-Konferenz_Block-III_SIG-4_G&G_Earth_Agemar (slides from 1st N4E conference Nov-2020)
N4E-I3G_Executive_Summary_20200930
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Current agenda and next meetings resp.
still open
Contact
Thorsten Agemar - LIAG, Hannover
Florian Bauer - KIT, Karlsruhe