Where Is the Provenance? Ethical Replicability and Reproducibility in GIScience and Its Critical Applications

Tullis, Jason A.; Kar, Bandana

doi:10.1080/24694452.2020.1806029

Where Is the Provenance? Ethical Replicability and Reproducibility in GIScience and Its Critical Applications

Journal Article · Tue Oct 13 00:00:00 EDT 2020 · Annals of the American Association of Geographers

DOI:https://doi.org/10.1080/24694452.2020.1806029· OSTI ID:1684672

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Univ. of Arkansas, Fayetteville, AR (United States). Center for Advanced Spatial Technologies
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

As replicability and reproducibility (R&R) crises develop within emerging convergent inquiry, ethical use of provenance information is central to the establishment and preservation of trust in critical applications of GIScience and geospatial technologies. Today large volumes of geospatial data are generated at high velocity from satellite sensors and unmanned aircraft systems, citizen sensors, geolocation-based data services, global navigation satellite systems, and so on. The extensive use of these data for applications such as disaster and humanitarian response raises the issue of R&R from competing perspectives of location privacy and geospatial data quality. Although geospatial data can be integrated and linked with contextual information to identify individuals’ movements, steps taken to ensure privacy can complicate the multiuser development of high-quality geospatial workflows. Provenance information as digital records of historical (retrospective) and potential future (prospective) geospatial processes is often overlooked, misunderstood, or inadequately addressed. We explore the relationship between provenance information, location privacy, and geospatial data quality in the context of R&R with a focus on disaster analytics. Here, we argue that in the era of big data and deep learning, GIScientists and associated institutions bear greater responsibility both for geospatial workflow quality and for location privacy. Given vastly heterogenous computational landscapes, we provide practical recommendations for ethically driven provenance and R&R research and development within the GIScience community and beyond.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1684672

Journal Information:: Annals of the American Association of Geographers, Journal Name: Annals of the American Association of Geographers Journal Issue: 5 Vol. 111; ISSN 2469-4452

Publisher:: Taylor & Francis; American Association of GeographersCopyright Statement

Country of Publication:: United States

Language:: English

References (21)

Social Media and Emergency Preparedness in Response to Novel Coronavirus Merchant, Raina M.; Lurie, Nicole JAMA, Vol. 323, Issue 20 https://doi.org/10.1001/jama.2020.4469	journal	May 2020
GIS and spatial data analysis: Converging perspectives Goodchild, Michael F.; Haining, Robert P. Papers in Regional Science, Vol. 83, Issue 1 https://doi.org/10.1007/s10110-003-0190-y	journal	October 2003
Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study Wu, Joseph T.; Leung, Kathy; Leung, Gabriel M. The Lancet, Vol. 395, Issue 10225 https://doi.org/10.1016/S0140-6736(20)30260-9	journal	February 2020
On the responsible use of digital data to tackle the COVID-19 pandemic Ienca, Marcello; Vayena, Effy Nature Medicine, Vol. 26, Issue 4 https://doi.org/10.1038/s41591-020-0832-5	journal	March 2020
Using Mobile Phone Data to Predict the Spatial Spread of Cholera Bengtsson, Linus; Gaudart, Jean; Lu, Xin Scientific Reports, Vol. 5, Issue 1 https://doi.org/10.1038/srep08923	journal	March 2015
How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets Haklay, Mordechai Environment and Planning B: Planning and Design, Vol. 37, Issue 4 https://doi.org/10.1068/b35097	journal	August 2010
The Myth of Location Privacy in the United States: Surveyed Attitude Versus Current Practices Kar, Bandana; Crowsey, Rick C.; Zale, Joslyn J. The Professional Geographer, Vol. 65, Issue 1 https://doi.org/10.1080/00330124.2012.658725	journal	February 2013
Fundamental concepts that form the basis of the proposed American cartographic data exchange standard Moellering, Harold Cartography, Vol. 17, Issue 2 https://doi.org/10.1080/00690805.1988.10438416	journal	December 1988
Assessing relevance of tweets for risk communication Liu, Xiaohui; Kar, Bandana; Zhang, Chaoyang International Journal of Digital Earth, Vol. 12, Issue 7 https://doi.org/10.1080/17538947.2018.1480670	journal	June 2018
Reproducibility and Replicability in the Context of the Contested Identities of Geography Sui, Daniel; Kedron, Peter Annals of the American Association of Geographers https://doi.org/10.1080/24694452.2020.1806024	journal	October 2020
A Five-Star Guide for Achieving Replicability and Reproducibility When Working with GIS Software and Algorithms Wilson, John P.; Butler, Kevin; Gao, Song Annals of the American Association of Geographers https://doi.org/10.1080/24694452.2020.1806026	journal	October 2020
Practical Reproducibility in Geography and Geosciences Nüst, Daniel; Pebesma, Edzer Annals of the American Association of Geographers https://doi.org/10.1080/24694452.2020.1806028	journal	October 2020
Location Privacy and Its Applications: A Systematic Study Liu, Bo; Zhou, Wanlei; Zhu, Tianqing IEEE Access, Vol. 6 https://doi.org/10.1109/ACCESS.2018.2822260	journal	January 2018
Privacy Leakage of Location Sharing in Mobile Social Networks: Attacks and Defense Li, Huaxin; Zhu, Haojin; Du, Suguo IEEE Transactions on Dependable and Secure Computing, Vol. 15, Issue 4 https://doi.org/10.1109/TDSC.2016.2604383	journal	July 2018
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Ren, Shaoqing; He, Kaiming; Girshick, Ross IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, Issue 6 https://doi.org/10.1109/TPAMI.2016.2577031	journal	June 2017
Geo-indistinguishability: differential privacy for location-based systems Andrés, Miguel E.; Bordenabe, Nicolás E.; Chatzikokolakis, Konstantinos Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security - CCS '13 https://doi.org/10.1145/2508859.2516735	conference	January 2013
Crisis analytics: big data-driven crisis response Qadir, Junaid; Ali, Anwaar; ur Rasool, Raihan Journal of International Humanitarian Action, Vol. 1, Issue 1 https://doi.org/10.1186/s41018-016-0013-9	journal	August 2016
The Foundations for Provenance on the Web Moreau, Luc Foundations and Trends® in Web Science, Vol. 2, Issue 2-3 https://doi.org/10.1561/1800000010	journal	January 2010
The Right to Privacy Warren, Samuel D.; Brandeis, Louis D. Harvard Law Review, Vol. 4, Issue 5 https://doi.org/10.2307/1321160	journal	December 1890
Geoweaver: Advanced Cyberinfrastructure for Managing Hybrid Geoscientific AI Workflows Sun, Ziheng; Di, Liping; Burgess, Annie ISPRS International Journal of Geo-Information, Vol. 9, Issue 2 https://doi.org/10.3390/ijgi9020119	journal	February 2020
Mapping the global Twitter heartbeat: The geography of Twitter Leetaru, Kalev; Wang, Shaowen; Padmanabhan, Anand First Monday, Vol. 18, Issue 5 https://doi.org/10.5210/fm.v18i5.4366	journal	May 2013

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96 KNOWLEDGE MANAGEMENT AND PRESERVATION
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