DOI
Digital Object Identifiers (DOI)
Scope
- This wiki page summarises relevant facts about DOI and related persistent Identifiers (PID) for the OSGeo communities.
- A DOI is a persistent identifier (PID).
- More infomation about PID for OSGeo is available here in the wiki
Useful background information
- Introduction to DOI (NASA)
- DOI registration 101 @ UC Berkeley (wayback machine memento)
- Introduction to the Zenodo open access repository
- Zenodo FAQ
HowTo information about ORCID (Open Researcher and Contributor ID -> a PID for people)
- ORCID FAQ
- ORDID introduction video
- HOWTO: Register an ORCID (Video tutorial)
- How to set up an ORCID account for credit propagation (e.g. Version-DOI of OSGeo project software releases will automagically appear in the "works" section of the associated ORCID accounts)
Usage examples for people writing articles
DOI
How to include a DOI-based reference to a LaTEX/Overleaf document.
BEWARE: As of now (20230327) it remains to be confirmed that DOI-tags in citations work without the https://doi.org-header. This might (just) reuslt in human readable information, but not machine-readable.
Publication DOI
@article{Chen_2003_Giants, title={On the Shoulders of Giants}, url={\url{https://doi.org/10.1007/978-1-4471-0051-5_5}}, DOI={10.1007/978-1-4471-0051-5_5}, journal={Mapping Scientific Frontiers: The Quest for Knowledge Visualization}, publisher={Springer London}, author={Chen, Chaomei}, year={2003}, pages={135–166} }
Video DOI
@article{Inman_1987, title={GRASS}, url={https://av.tib.eu/media/12963}, DOI={10.5446/12963}, abstractNote={Video presentation explaining the features and capabilities of this computer-based mapping system.}, publisher={Moving Pictures, US Army Construction Engineering Research Laboratory}, author={Inman, Roger J.}, year={1987}, language={en} }
Software Concept DOI (a reference to a software project as a whole)
@article{GRASS_CONCEPT_DOI, title={OSGeo/grass: GRASS GIS 8.2.0}, url={https://zenodo.org/record/5176030}, DOI={10.5281/ZENODO.5176030}, abstractNote={ .. CONTENT OMMITTED FOR BREVITY ..}, year={2022}, month={Jun} }
Software Version DOI (a reference to a particular software release)
@article{QGIS_Contributors_2022, title={QGIS}, url={https://doi.org/10.5281/zenodo.5869837}, DOI={10.5281/ZENODO.5869837}, publisher={Zenodo}, author={QGIS Contributors}, year={2022}, month={Jan} }
ORCID
How to include ORCIDs to a LaTEX/Overleaf document: Include these packages: \usepackage{orcidlink} \usepackage[hidelinks]{hyperref}
\author{ Peter Löwe\,\orcidlink{0000-0003-2257-0517}~\textsuperscript{1}\thanks{Corresponding author}, Markus Neteler\,\orcidlink{0000-0003-1916-1966}~\textsuperscript{2} } (Source: OSGEO, PERSISTENT IDENTIFIERS AND THE SHAPE OF THINGS TO COME)
ROR
TBD: How to include a PID for an institution (like OSGeo) from the Research Organisation Registry (ROR) ?
Added-value services based on DOI
DOI availabe for OSGeo Projects
<Add your project DOI here, while maintaining alphabetical order>
Projects considering a DOI
- degree
- (GeoPython: pycsw)
- (NASA World Wind)
<Add your project here>
This is an incomplete overview over geospatial data sources which can be referenced by DOI. Many more datasets are available in Open Access repositories such as Zenodo
GRASS GIS
- New Orleans Dataset for GRASS GIS https://doi.org/10.5281/zenodo.3359642
- Hilltop Arboretum Landform Dataset for GRASS GIS https://doi.org/10.5281/zenodo.3749397
- Sichuan Dataset for GRASS GIS https://doi.org/10.5281/zenodo.3359645
- The Hills of Governor's Island Dataset for GRASS GIS https://doi.org/10.5281/zenodo.5248688
- Louisiana Dataset for GRASS GIS https://doi.org/10.5281/zenodo.3359620
- Natural Earth Dataset for GRASS GIS https://doi.org/10.5281/zenodo.3968936
- Global Dataset for GRASS GIS https://doi.org/10.5281/zenodo.3359632
- Governor's Island Dataset for GRASS GIS https://doi.org/10.5281/zenodo.5248419
(add datasets here)
QGIS
- Governor's Island Dataset for QGIS https://doi.org/10.5281/zenodo.5701115
- Louisiana Dataset for GRASS GIS https://doi.org/10.5281/zenodo.3359620
(add datasets here)