Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

The Challenges of Reproducibility for Research Based on Geodata Web Services

Massimiliano Cannata
* ORCID logo ,
Maxime Collombin
,
Olivier Ertz
,
Gregory Giuliani
,
Jens Ingensand
,
Claudio Primerano
,
Daniele Strigaro
ORCID logo
Version 1 : Received: 28 December 2023 / Approved: 29 December 2023 / Online: 29 December 2023 (13:51:26 CET)

How to cite: Cannata, M.; Collombin, M.; Ertz, O.; Giuliani, G.; Ingensand, J.; Primerano, C.; Strigaro, D. The Challenges of Reproducibility for Research Based on Geodata Web Services. Preprints 2023, 2023122316. https://doi.org/10.20944/preprints202312.2316.v1 Cannata, M.; Collombin, M.; Ertz, O.; Giuliani, G.; Ingensand, J.; Primerano, C.; Strigaro, D. The Challenges of Reproducibility for Research Based on Geodata Web Services. Preprints 2023, 2023122316. https://doi.org/10.20944/preprints202312.2316.v1

Abstract

Modern research applies the Open Science approach that fosters the production and sharing of Open Data according to the FAIR (Findable, Accessible, Interoperable, Reusable) principles. In the geospatial context this is generally achieved through the setup of OGC Web services that implements open standards that satisfies the FAIR requirements. Nevertheless, the requirement of Findability is not fully satisfied by those services since there’s no use of persistent identifiers and no guarantee that the same dataset used for a study can be immutably accessed in a later period: a fact that hinders the replicability of research. This is particularly true in recent years where data-driven research and technological advances have boosted frequent updates of datasets. Here, we review needs and practices, supported by some real case examples, on frequent data or metadata updates in geo-datasets of different data types. Additionally we assess the currently available tools that support data versioning for databases, files and log-structured tables. Finally we discuss challenges and opportunities to enable geospatial web services that are fully FAIR: a fact that would provide, due to the massive use and increasing availability of geospatial data, a great push toward open science compliance with ultimately impacts on the science transparency and credibility.

Keywords

open science; geospatial web services; reproducibility; FAIR; interoperability; reproducible research;

Subject

Computer Science and Mathematics, Information Systems

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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