Welcome to the Earth Science Information Partners (ESIP) 2018 Summer Meeting! The 2018 theme is Realizing the Socioeconomic Value of Data. The theme is based on one of the goals in the 2015 - 2020 ESIP Strategic Plan, which provides a framework for ESIP’s activities over the next three years.

If you haven’t already, register here!

Room Block Update: Our block is full. We recommend the AC Hotel Tucson Downtown, which is about 5 minutes by car and is accessible via the Tucson Streetcar in about fifteen minutes.
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Tuesday, July 17


Software and Services Citations Overview and Use Case
Join us in a brief overview of the current efforts from the Software and Services Citation Cluster including the incredible work that came from our competition last Summer ESIP. Help us gather use cases for different software and services citation needs that will be used during our follow-on workshop being held later this week developing guidance and examples of how those each use case would be represented in a citation.

Speakers & Moderators
avatar for Jessica Hausman

Jessica Hausman

Data Engineer, PO.DAAC JPL
avatar for Shelley Stall

Shelley Stall

American Geophysical Union
Shelley Stall is the Director of Data Programs at the American Geophysical Union. Shelley has more than two decades of experience working in high-volume, complex data management environments. She has helped organizations in not-for-profit, commercial, defense, and federal civilian... Read More →

Tuesday July 17, 2018 9:30am - 11:00am


Supporting integrated and predictive science: Community for Data Integration focus on risk assessment
The aspiration of many data organizations that fund seed projects, including the USGS Community for Data Integration, is to support integrated, reusable, and sustainable tools and data. This year, the CDI funded several projects under the theme of risk assessment and hazard vulnerability, with the goal of coordinating and integrating the outputs. Project teams will meet during this breakout session, which occurs midway through the funding period, to report on progress, learn from each other, and coordinate to optimize their outputs. The selected projects are improving accessibility to drought modeling, hazards and assets data (for example, invasive species, landslides, and infrastructure data), and tools for knowledge extraction and data documentation. Integrating data and resources on hazards and assets improves our ability to assess strategic risk, predict future hazards impact, and realize the socioeconomic value of earth science data.

  • Jeanne Jones (USGS) - Community for Data Integration Risk Map Project
  • Caitlin Andrews (USGS) - An Interactive Web-based Tool for Anticipating Long-term Drought Risk
  • Eric Jones (USGS) - Integrating Disparate Spatial Datasets from Local to National Scale for Open-Access Web-Based Visualization and Analysis: A Case Study Compiling U.S. Landslide Inventories
  • Daniel Wieferich (USGS) - Knowledge Extraction Algorithms (KEA): Turning Literature Into Data
  • Dennis Walworth (USGS) - Content specifications to enable USGS transition to ISO metadata standard
  • Kathy Gerst (USA National Phenology Network) - Workflows to support integrated predictive science capacity: Forecasting invasive species for natural resource planning and risk assessment

Speakers & Moderators
avatar for Leslie Hsu

Leslie Hsu

Coordinator, Community for Data Integration, U.S. Geological Survey
avatar for Daniel Wieferich

Daniel Wieferich

Physical Scientist, US Geological Survey
python, database management, landscape ecology, machine learning

Tuesday July 17, 2018 11:30am - 1:00pm
Thursday, July 19


JSON Encodings for Spatial Data: Data Modeling, Applications and Use Cases
A number of JSON serializations exist for representing Earth Observation data however further work needs to be undertaken to align efforts, reduce overlap and expand/evangelize usage and software implementations. Some examples include TopoJSON, JSON-LD, hdf5-json, GeoJSON, CovJSON, CF-JSON, NCO-JSON, STAR JSON and there are several others.
Due to initiatives such as the W3C + OGC Spatial Data on the Web Working Group (which resulted in a significant advancement of the CovJSON standard) this issue is gathering so much interest that NASA has recently initiated a dedicated Earth Science Data Systems Working Group to investigate, evaluate and provide a formal NASA recommendation for use of JSON Encodings for Spatial Data.
HDF5/JSON preserves the data and metadata of any HDF5 dataset through a round-trip encoding (i.e., HDF5 -> JSON -> HDF5). Thus HDF5/JSON is automatically 100% lossless. NCO-JSON is a compa-rable turnkey solution that serves for netCDF a similar role as HDF5/JSON for HDF5. Although netCDF can be implemented as a subset of HDF5, the two APIs and their vocabularies are so differ-ent that using or extending HDF5/JSON to represent netCDF files would be unnecessarily complex. CF-JSON, ERDDAP, and STAR JSON all implement the NCO-JSON dialect, designed to represent any data stored in netCDF format. Differences include that CF-JSON is designed to extend to higher-level CF constructs while STAR JSON includes a library for potentially faster conversion to and from JSON. NCO-JSON also provides lossy options to reduce JSON verbosity and size and increase legibil-ity.
Critical production-grade software infrastructure such as OPeNDAP also provides several mecha-nisms for serializing JSON data retrievals. Very recently, OPeNDAP developers have provided the ability to retrieve CovJSON responses from OPeNDAP queries. We anticipate that this functionality will enable a new generation of high performance applications.

Some stakeholders and interested parties in this area include:
· Web application developers tasked with designing and developing applications which con-sume EO spatial data.
· Parties interested in serving and consuming Spatial data on the Web.
· Developers at data centers who currently distribute/expose endpoints/resources which serve spatial data
Two back-to-back sessions will therefore cover (i) data modeling issues; providing an opportunity to evaluate the list of candidate JSON encodings and exploring model semantics, (ii) applications which leverage JSON serialization for EO data, and (iii) use cases which could explore and possibly benefit from use of JSON serializations for improving application performance.
The first session will offer four 20 mins presentations with the second workshop offering a hands on investigation into then extension of existing systems’ ability to return richer JSON encodings.

Thursday July 19, 2018 11:30am - 1:00pm