Geospatial User Feedback: how to raise users’ voice and collectively build knowledge at the same time

Alaitz Zabala*, Joan Masó, Lucy Bastin, Gregory Giuliani, Xavier Pons

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Geospatial data is used not only to contemplate reality but also, in combination with analytical tools, to generate new information that requires interpretation. In this process data users gain knowledge about the data and its limitations (the user side of data quality) as well as knowledge on the status and evolutions of the studied phenomena. Knowledge can be annotations on top of the data, responses to questions, a careful description of the processes applied, a piece of software code or scripts applied to the data, usage reports or a complete scientific paper. This paper proposes an extension of the current Open Geospatial Consortium standard for Geospatial User Feedback to include the required knowledge elements, and a practical implementation. The system can incrementally collect, store, and communicate knowledge elements created by users of the data and keep them linked to the original data by means of permanent data identifiers. The system implements a Web API to manage feedback items as a frontend to a database. The paper demonstrates how a JavaScript widget accessing this API as a client can be easily integrated into existing data catalogues, such as the ECOPotential web service or the GEOEssential data catalogue, to collectively collect and share knowledge.
Original languageEnglish
Article number141
JournalISPRS International Journal of Geo-Information
Issue number3
Publication statusPublished - 5 Mar 2021

Bibliographical note

© 2021 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (

Funding: This work was supported by NEXTGEOSS, e-shape., ERA-Planet and ECOPotential.
These projects have received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 730329, 820852, 689443 and 641762. This work was also
supported by the Spanish MCIU Ministry through the NEWFORLAND research project (RTI2018-
099397-B-C21/C22 MCIU/AEI/ERDF, EU) and by the Catalan Government (SGR2017 1690). Xavier
Pons is a recipient of an ICREA Academia Excellence in Research Grant (2016–2020).


  • Annotations
  • Geospatial data
  • Knowledge
  • Metadata
  • User feedback


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