Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 15, issue 1
Articles | Volume 15, issue 1
https://doi.org/10.5194/gi-15-165-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-15-165-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 1
Research article
 | 
20 May 2026
Research article |  | 20 May 2026

A database-driven research data framework for integrating and processing high-dimensional geoscientific data

Dennis Handy, W. Marijn van der Meij, Mirijam Zickel, and Tony Reimann

Viewed

Total article views: 3,382 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,816 1,353 213 3,382 190 195
  • HTML: 1,816
  • PDF: 1,353
  • XML: 213
  • Total: 3,382
  • BibTeX: 190
  • EndNote: 195
Views and downloads (calculated since 07 Oct 2025)
Cumulative views and downloads (calculated since 07 Oct 2025)

Viewed (geographical distribution)

Total article views: 3,382 (including HTML, PDF, and XML) Thereof 3,353 with geography defined and 29 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Jun 2026
Download
Short summary
Geoscientific projects often struggle to manage complex data effectively, resulting in valuable information being lost due to poor findability and accessibility. To address this, we present a comprehensive research data framework for storing and processing data throughout a project, from fieldwork to data analysis. This ensures that datasets are clearly defined, reproducible and adhere to the FAIR principles (findability, accessibility, interoperability and reusability).
Read more
Share