License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.COSIT.2019.8
URN: urn:nbn:de:0030-drops-111008
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/11100/
Kray, Christian ;
Pebesma, Edzer ;
Konkol, Markus ;
NĂ¼st, Daniel
Reproducible Research in Geoinformatics: Concepts, Challenges and Benefits (Vision Paper)
Abstract
Geoinformatics deals with spatial and temporal information and its analysis. Research in this field often follows established practices of first developing computational solutions for specific spatiotemporal problems and then publishing the results and insights in a (static) paper, e.g. as a PDF. Not every detail can be included in such a paper, and particularly, the complete set of computational steps are frequently left out. While this approach conveys key knowledge to other researchers it makes it difficult to effectively re-use and reproduce the reported results. In this vision paper, we propose an alternative approach to carry out and report research in Geoinformatics. It is based on (computational) reproducibility, promises to make re-use and reproduction more effective, and creates new opportunities for further research. We report on experiences with executable research compendia (ERCs) as alternatives to classic publications in Geoinformatics, and we discuss how ERCs combined with a supporting research infrastructure can transform how we do research in Geoinformatics. We point out which challenges this idea entails and what new research opportunities emerge, in particular for the COSIT community.
BibTeX - Entry
@InProceedings{kray_et_al:LIPIcs:2019:11100,
author = {Christian Kray and Edzer Pebesma and Markus Konkol and Daniel N{\"u}st},
title = {{Reproducible Research in Geoinformatics: Concepts, Challenges and Benefits (Vision Paper)}},
booktitle = {14th International Conference on Spatial Information Theory (COSIT 2019)},
pages = {8:1--8:13},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-115-3},
ISSN = {1868-8969},
year = {2019},
volume = {142},
editor = {Sabine Timpf and Christoph Schlieder and Markus Kattenbeck and Bernd Ludwig and Kathleen Stewart},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/11100},
URN = {urn:nbn:de:0030-drops-111008},
doi = {10.4230/LIPIcs.COSIT.2019.8},
annote = {Keywords: vision paper, Geoinformatics, reproducibility, computational, spatial and temporal information, spatial data science, GI Science}
}
Keywords: |
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vision paper, Geoinformatics, reproducibility, computational, spatial and temporal information, spatial data science, GI Science |
Collection: |
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14th International Conference on Spatial Information Theory (COSIT 2019) |
Issue Date: |
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2019 |
Date of publication: |
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03.09.2019 |