Is ARR 2015 a watershed moment for how we manage hydrologic data?

Babister, M; Brady, PDM; Retallick, M; Ball, J

Is ARR 2015 a watershed moment for how we manage hydrologic data?

Babister, M Brady, PDM

Retallick, M Ball, J

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Publication Type:: Conference Proceeding
Citation:: The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015, 2015, pp. 17 - 23
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Babister, M	en_US
dc.contributor.author	Brady, PDM https://orcid.org/0000-0002-6052-8777	en_US
dc.contributor.author	Retallick, M	en_US
dc.contributor.author	Ball, J https://orcid.org/0000-0001-8342-1916	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015, 2015, pp. 17 - 23	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138686
dc.description.abstract	© 2015, Engineers Australia. All rights reserved. As network speeds have increased, online delivery of data has the potential to revolutionise the hydrologic industry not only in Australia but worldwide, for example the recent ARR Revision Projects on regional flood frequency estimation and the interaction of coastal and riverine flooding. There are a number of distinct advantages to centralising data stores, namely: quality control that can ensure practitioners are all using the same consistent data set as well as revision control in case changes are required in the future. These, and other, ARR projects, although small scale, have proved that the limitations are not technical but rather cultural, namely they fear of confidentiality when accessing services from remote third party servers as well as the institutionalised culture of downloading and archiving copies of data and software. Centralised data management confronts the established dogma of software licensing in that the concept of paying a single license fee for a particular version or data snapshot is, essentially, eliminated. We believe that this will be replaced with an alternate hybrid organisational structure similar to an open source software project combined with a not-for-profit business that would be run by the industry for the industry. This paper presents a brief overview of the already eliminated technical issues and, more importantly, challenges the hydrologic community to critically evaluate their view of data and software ownership, hydrologic engineering workflows and the direction of collaboration in a data centric workplace.	en_US
dc.relation.ispartof	The Art and Science of Water - 36th Hydrology and Water Resources Symposium, HWRS 2015	en_US
dc.title	Is ARR 2015 a watershed moment for how we manage hydrologic data?	en_US
dc.type	Conference Proceeding
utslib.for	040608 Surfacewater Hydrology	en_US
utslib.for	090509 Water Resources Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2015, Engineers Australia. All rights reserved. As network speeds have increased, online delivery of data has the potential to revolutionise the hydrologic industry not only in Australia but worldwide, for example the recent ARR Revision Projects on regional flood frequency estimation and the interaction of coastal and riverine flooding. There are a number of distinct advantages to centralising data stores, namely: quality control that can ensure practitioners are all using the same consistent data set as well as revision control in case changes are required in the future. These, and other, ARR projects, although small scale, have proved that the limitations are not technical but rather cultural, namely they fear of confidentiality when accessing services from remote third party servers as well as the institutionalised culture of downloading and archiving copies of data and software. Centralised data management confronts the established dogma of software licensing in that the concept of paying a single license fee for a particular version or data snapshot is, essentially, eliminated. We believe that this will be replaced with an alternate hybrid organisational structure similar to an open source software project combined with a not-for-profit business that would be run by the industry for the industry. This paper presents a brief overview of the already eliminated technical issues and, more importantly, challenges the hydrologic community to critically evaluate their view of data and software ownership, hydrologic engineering workflows and the direction of collaboration in a data centric workplace.

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http://hdl.handle.net/10453/138686