TY - JOUR
T1 - Reproducibility and replicability
T2 - opportunities and challenges for geospatial research
AU - Kedron, Peter
AU - Li, Wenwen
AU - Fotheringham, Stewart
AU - Goodchild, Michael
N1 - Funding Information:
Another approach is to increase the accessibility of confidential data by creating schemes that grant individual researchers access to selected data stored in repositories. In collaboration with the University of Michigan’s Inter-university Consortium for Political and Social Research (ICPSR), Richardson and Kwan (funded by NSF award BCS-1,832,465) are developing standards, practices, and a Geospatial Virtual Data Enclave that will allow individual researchers to access and analyze remotely hosted, confidential spatial data (Richardson ). As important, these researchers are creating a credential system that will allow researchers to access different types of restricted data and track their access. These efforts represent a first step toward overcoming an impediment to R&R: access to original, confidential data. However, both the ICPRS and CASD initiatives only address situations in which data is stored in a repository.
Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - A cornerstone of the scientific method, the ability to reproduce and replicate the results of research has gained widespread attention across the sciences in recent years. A corresponding burst of energy into how to make research more reproducible and replicable has led to numerous innovations. This article outlines some of the opportunities for geospatial researchers to contribute to and learn from the broader reproducibility literature. We review practices developed in related disciplines to improve the reproducibility and replicability of research and outline current efforts to adapt those practices to geospatial analyses. The article then highlights the open questions, opportunities, and potential new directions in geospatial research related to R&R. We stress that the path ahead will likely require a mixture of computational, geospatial, and behavioral research that collectively addresses the many sides of reproducibility and replicability issues.
AB - A cornerstone of the scientific method, the ability to reproduce and replicate the results of research has gained widespread attention across the sciences in recent years. A corresponding burst of energy into how to make research more reproducible and replicable has led to numerous innovations. This article outlines some of the opportunities for geospatial researchers to contribute to and learn from the broader reproducibility literature. We review practices developed in related disciplines to improve the reproducibility and replicability of research and outline current efforts to adapt those practices to geospatial analyses. The article then highlights the open questions, opportunities, and potential new directions in geospatial research related to R&R. We stress that the path ahead will likely require a mixture of computational, geospatial, and behavioral research that collectively addresses the many sides of reproducibility and replicability issues.
KW - Reproducibility
KW - geographic Information Science
KW - replicability
KW - spatial analysis
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U2 - 10.1080/13658816.2020.1802032
DO - 10.1080/13658816.2020.1802032
M3 - Review article
AN - SCOPUS:85088958436
SN - 1365-8816
VL - 35
SP - 427
EP - 445
JO - International Journal of Geographical Information Science
JF - International Journal of Geographical Information Science
IS - 3
ER -