Loading…
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.
View analytic

Sign up or log in to bookmark your favorites and sync them to your phone or calendar.

Sabino [clear filter]
Tuesday, July 17
 

11:30am

Metadata Evaluation Lab at ESIP: Assessing if community metadata is ready for Schema.org
In this workshop participants will determine if metadata from around ESIP is ready to be translated to schema.org JSON-LD using the Google recommendation for datasets to enhance discoverablility in search engines and learn a simple way to translate their XML into compliant JSON-LD that they can improve for their metadata dialect's particular needs.

* Participants will hear about NOAA's experience in creating this information for their datasets and what was needed to apply it.
* Participants will learn how to analyze metadata collections for conceptual content and absolute content.
* Participants will apply a conceptual version of the Google recommendation for dataset metadata using the schema.org vocabulary to their collections and create a report detailing collection metrics, regardless of metadata dialect.
* Finally participants will learn how to create JSON-LD for the records in their collection and validate using the Google Structured Data Testing Tool.

We will use ESIPhub, a Jupyterhub based shared computational environment to run the workshop. This means you won't need to set up your computer to participate in the workshop, just bring a device with a connected web browser.

Learn more about Jupyter and attend the other workshops using ESIPhub:

* Tuesday morning before this session includes a general overview of Jupyter usage in our community.
http://sched.co/Eype
* Wednesday afternoon is a workshop for cloud-based analysis.
http://sched.co/EyqK
* Thursday morning we'll learn about some custom widgets for earth science.
http://sched.co/EyqX

Once you've learned how to make your own schema.org JSON-LD, learn how to improve and publish it in these later sessions:

* Tuesday afternoon includes a two-parter on Semantics in Action.
http://sched.co/Eypw 
* Wednesday afternoon goes into depth on Publishing schema.org datasets.
http://sched.co/EyqH

Speakers & Moderators
avatar for Sean Gordon

Sean Gordon

Metadata Developer, The HDF Group
Talk to me about the ESIP Labs project, ESIPhub a JupyterHub based shared computational environment for workshops at Meetings.My research focuses on the connections between documentation structures and the evaluation of content for the metadata needs of diverse communities of practice... Read More →
avatar for John Relph

John Relph

Disruptor, NESDIS/NCEI
OneStop, Metadata, Archival, Automation, Data Management, Canaan Dogs



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

2:00pm

HDF Workshop 1: Learning about HDF using Jupyter Notebooks

Jupyter Notebooks have been developed by the HDF Group and many others to help scientists and other users understand how to use HDF to create and access datasets in many disciplines. HDF Lab is a tool for bringing these resources together with data in the cloud. The Lab will include sample datasets and notebooks that use them to demonstrate HDF capabilities at many levels. It will also be a place for sharing data examples and related notebooks from users in many disciplines. ESIP members will play an important role in building this resource and ensuring that it is a useful forum for sharing community expertise. Please join us at the ground level to make sure it works.

 


Speakers & Moderators

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

4:00pm

HDF Workshop 2: HDF analysis from the desktop to the cloud
The HDF Group is exploring many approaches to providing access to HDF data in the cloud with the goal of protecting data producers and users from disruption as data move to the cloud. These approaches include a restful interface and a plug-in replacement for h5py (h5pyd) that uses that interface, and an implementation of xarray that uses that plug-in. The Highly Scalable Data Server (HSDS) also uses this interface and will operate on HDF files or objects created from the metadata and data in those files. We are also developing several HDF5 library plug-ins that implement a Virtual Object Layer (REST-VOL) for access to the cloud using the restful interface and a Virtual File Driver (S3-VFD) for accessing data in the cloud. We will demonstrate use cases for all of these approaches and discuss how each alternative minimizes disruption for data providers and users.

Speakers & Moderators

Tuesday July 17, 2018 4:00pm - 5:30pm
Sabino
 
Thursday, July 19
 

9:30am

Custom Built Jupyter Widgets for Earth Science
For many scientific questions in the Earth sciences, the sheer volume of observed and/or modeled data is a barrier to progress, as it is difficult to explore and analyze using the traditional paradigm of downloading datasets to a local computer for analysis. Furthermore, methods for communicating Earth science algorithms that operate on large datasets in an easily understandable and reproducible way are needed. The Jupyter project has created several tools for general data science that can be leverage for exploratory data analysis of tera- to peta-byte scale geospatial data datasets.

This session will be a hands-on introduction to:
JupyterLab (the Jupyter project's next-generation UI)
Jupyter Widgets (the interconnection between the UI and a Python kernel)
Earth Engine (Google's cloud-based geospatial analysis API)
Examples of satellite data exploration and analysis
In addition, we will be using the following technologies:
JupyterHub for hosting the multi-user environment
Docker for packaging up JupyterLab, the Earth Engine Python API, and dozens of scientific Python packages
GitHub for sharing all of the session content

Learn more about Jupyter and attend the other workshops using ESIPhub:

* Tuesday morning includes a general overview of Jupyter usage in our community.
http://sched.co/Eype
* Just after the overview session is a Metadata Improvement Lab focused on schema.org for datasets.  
http://sched.co/Eypl
* Wednesday afternoon is a workshop for cloud-based analysis.
http://sched.co/EyqK


Speakers & Moderators
avatar for Tyler Erickson

Tyler Erickson

Developer Advocate, Google
avatar for Sean Gordon

Sean Gordon

Metadata Developer, The HDF Group
Talk to me about the ESIP Labs project, ESIPhub a JupyterHub based shared computational environment for workshops at Meetings.My research focuses on the connections between documentation structures and the evaluation of content for the metadata needs of diverse communities of practice... Read More →


Thursday July 19, 2018 9:30am - 11:00am
Sabino