A SMART groundwater portal: An OGC web services orchestration framework for hydrology to improve data access and visualisation in New Zealand

• We contrast international state of the art data sharing with the present status in New Zealand.
• We provide a Simple, Measurable, Achievable, Repeatable and Time-based web service orchestration.
• Users Save Money and Reduce Time to achieve access to distributed groundwater data.

Transboundary and cross-catchment access to hydrological data is the key to designing successful environmental policies and activities. Electronic maps based on distributed databases are fundamental for planning and decision making in all regions and for all spatial and temporal scales. Freshwater is an essential asset in New Zealand (and globally) and the availability as well as accessibility of hydrological information held by or held for public authorities and businesses are becoming a crucial management factor. Access to and visual representation of environmental information for the public is essential for attracting greater awareness of water quality and quantity matters. Detailed interdisciplinary knowledge about the environment is required to ensure that the environmental policy-making community of New Zealand considers regional and local differences of hydrological statuses, while assessing the overall national situation. However, cross-regional and inter-agency sharing of environmental spatial data is complex and challenging. In this article, we firstly provide an overview of the state of the art standard compliant techniques and methodologies for the practical implementation of simple, measurable, achievable, repeatable, and time-based (SMART) hydrological data management principles. Secondly, we contrast international state of the art data management developments with the present status for groundwater information in New Zealand. Finally, for the topics (i) data access and harmonisation, (ii) sensor web enablement and (iii) metadata, we summarise our findings, provide recommendations on future developments and highlight the specific advantages resulting from a seamless view, discovery, access, and analysis of interoperable hydrological information and metadata for decision making.

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