ERDDAP Transition Project for Improved Ocean Data Distribution

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Explore the ERDDAP Transition Project aiming to enhance ocean data distribution. Learn about the transition from SOS to ERDDAP, high-level goals, and the strengths of ERDDAP as a data server. Discover how this project plans to improve interoperability, minimize transition impact, and collaborate for better solutions within the DMAC enterprise.

  • ERDDAP
  • Ocean Data
  • Transition Project
  • Data Distribution
  • DMAC

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  1. ERDDAP Transition Project DMAC Annual Meeting 2018 May 22

  2. ERDDAP Transition Background IOOS is looking to ERDDAP as the platform of the future for distributing ocean observations SOS services will continue to be endorsed as DMAC-compliant, but plan for migration from SOS to ERDDAP in the future ERDDAP allows a degree of flexibility in implementing data services; project goal is to narrow sufficiently in order provide client interoperability This project will develop guidance and requirements for data formatting and metadata, and plan for a future transition from SOS to ERDDAP 2

  3. ERDDAP Transition High Level Goals Interoperability of ERDDAP services across the DMAC enterprise Understand ERDDAP limitations for data types and plan to mitigate Minimize transition impact to end users of IOOS services Develop clear guidance and requirements for service configuration Improve automation of national DMAC system Reach new users Collaborate as a community to overcome issues and implement solutions 3

  4. ERDDAP Transition Project 4

  5. IOOS DMAC Data Distribution 5

  6. Extra Slides 6

  7. DMAC Data Discovery 7

  8. ERDDAP Data Server Project ERDDAP Strengths: ERDDAP Strengths: Act as broker between clients (R, Python, Matlab) and source data formats (CSV, netCDF) Query and request the same source dataset, with same filters, in a variety of output formats by simple parameter change Standard query interface, regardless of source data format, with fuzzy or interpolated parameters (eg. give me the time closest to 2017-10-17:10:00 , or now - 5 minutes ) Users don t need to spend time converting downloaded datasets from one format to another Data publishers using ERDDAP can enhance native data set metadata in the configuration/load process 8

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