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UID:pretalx-foss4g-2024-KRFWMJ@talks.staging.osgeo.org
DTSTART;TZID=-03:20241205T150000
DTEND;TZID=-03:20241205T153000
DESCRIPTION:The effective management and utilization of water data are crit
 ical for both community engagement and scientific analysis. To address the
  challenges associated with disparate data formats and standards\, this pr
 esentation explores the use of unifying standards such as WaterML2.0 and O
 GC API Environmental Data Retrieval (EDR). These standards offer a cohesiv
 e approach to data exchange and interoperability\, bridging gaps between d
 iverse use cases and technical requirements.\n\nWater data is highly diver
 se—spanning vector geospatial features\, time series\, raster data\, and
  combinations thereof. The Internet of Water (IoW) Coalition advocates for
  data equity and interoperability\, emphasizing the adoption of standardiz
 ed formats and web services to drive both data science and equitable decis
 ion making. Using pygeoapi as a testbed\, this session will focus on two p
 rimary use cases: community engagement through web applications and modeli
 ng & analysis for water resource management.\n\nUse Case 1: Web App Develo
 pment for Community Engagement and Education\nFor public-facing applicatio
 ns\, ease of use and accessibility are paramount. Here\, JSON-based format
 s like GeoJSON and CoverageJSON are evaluated for their effectiveness in r
 epresenting water data. The session will demonstrate how CoverageJSON prov
 ides a streamlined approach to handling time series and geospatial data\, 
 aligning with web development needs and enhancing user engagement through 
 interactive\, map-oriented interfaces.\n\nUse Case 2: Scientific Analysis 
 for Water Resource Management\nScientific platforms require comprehensive 
 data exchange and metadata standards to support robust analysis. WaterML2.
 0\, with its detailed metadata and extensive schema\, is well-suited for t
 his purpose. However\, its XML serialization poses challenges for modern s
 oftware development workflows and analytical tools. We discuss potential s
 olutions\, including a proposed JSON serialization of WaterML2.0 and its i
 ntegration with OGC API - EDR for data queries and access. \n\nWe will add
 ress the trade-offs between these standards\, considering factors such as 
 data complexity\, metadata requirements\, and web compatibility. Recommend
 ations will be made for future development\, including enhancements to exi
 sting standards and the creation of best practice specifications for effec
 tive water data exchange.
DTSTAMP:20260504T222345Z
LOCATION:Room III
SUMMARY:Unifying Standards for Water Data Exchange: Leveraging OGC API - ED
 R and pygeoapi - Benjamin Webb
URL:https://talks.staging.osgeo.org/foss4g-2024/talk/KRFWMJ/
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