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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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Ventana [clear filter]
Tuesday, July 17
 

2:00pm

Building a Data Risk Factor Matrix
Data collections can face a variety of risk factors. The ESIP Data Stewardship Committee is analyzing and categorizing data risk factors to develop a "data risk factor matrix." This activity is intended to inform and enable the geoscience data community to reduce the risks associated with data preservation and stewardship. This session will include presentations on the Data Stewardship committee activity, and engage the attendees in an exercise in which we compare our respective understandings of data risk categories.

Speakers & Moderators
SH

Sophie Hou

Data Curation and Stewardship Coordinator, National Center for Atmospheric Research
data management/curation/stewardship: including but not limited to data life cycle, policies, sustainability, education and training, data quality, usability.
avatar for Matthew Mayernik

Matthew Mayernik

Project Scientist and Research Data Services Specialist, NCAR/UCAR Data Library
Matt is a Project Scientist and Research Data Services Specialist in the NCAR/UCAR Library. His work is focused on research and service development related to research data curation. His research interests include metadata practices and standards, data curation education, data citation... Read More →


Tuesday July 17, 2018 2:00pm - 3:30pm
Ventana

4:00pm

Operational Readiness Levels: Establishing Trusted Data to Improve Situational Awareness
The Disasters Lifecycle cluster, in collaboration with the All Hazards Consortium, is developing Operational Readiness Levels for data-driven decision-making support to improve situational awareness. The AHC’s Sensitive Information Sharing Environment (SISE) Working Group recently communicated the ORL concept to the AHC members, including federal and state agencies as well as private sector companies supporting a broad range of emergency management services. Initial criteria for the ORLs, a flowchart assessment tool, and data examples were demonstrated. We received enthusiastic feedback on the value of the ORL concept, noting that it filled an important void. Work continues on refining strategies and criteria for assessing candidate datasets for specific operational use cases.

During this session we plan to address several challenges in meeting the trust criteria for establishing ORLs – not only for specific use cases but also across user applications and communities. Questions we expect to explore include:
• Who can set ORLs; what is ESIP’s role; how to balance data suppliers’ input from end users’ role
• How to manage ORLs to avoid confusion across user communities
• How to distinguish global issues that all users would consider criteria (e.g., security, availability, …) vs specific issues related to a specific use case
• Strategies for handling crowd-sourced information

Speakers & Moderators
avatar for Karen Moe

Karen Moe

Emeritus, NASA ESTO
Co-chair the Disasters Lifecycle Cluster, ESIP Board Member at Large


Tuesday July 17, 2018 4:00pm - 5:30pm
Ventana
 
Wednesday, July 18
 

2:00pm

Software and Services Workshop - Development of Examples to address Use Cases
Work with us as we expand on the use cases gathered earlier in the week to create guidance and examples for how to represent software or services citation in your work and publications. The final product will be a reference guide for data managers, librarians, and journals to use as guidance for authors and researchers on Best Practices for Software and Services Citations.

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 →


Wednesday July 18, 2018 2:00pm - 3:30pm
Ventana
 
Thursday, July 19
 

9:30am

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.

Speakers & Moderators

Thursday July 19, 2018 9:30am - 11:00am
Ventana
 
Friday, July 20
 

9:30am

Community Ontology Repository Systems Administration Working Session
Speakers & Moderators
avatar for Annie Burgess

Annie Burgess

ESIP Lab Director, ESIP
avatar for John Graybeal

John Graybeal

Technical Program Manager, CEDAR and BioPortal, Stanford University
Metadata, semantics, and cool repositories for metadata and semantics. | Cool Earth Science (or biomedical) projects that will change the world. | Or at least, change the way we manage metadata about the world.
BH

Beth Huffer

Lingua Logica


Friday July 20, 2018 9:30am - 11:00am
Ventana