Our first monthly meeting of 2019 was on February 13, and we heard about forward-looking water research tools, new outputs to help resource managers deal with invasive species, and information about how to get the most out of the upcoming June CDI workshop. View the recording and slides on the February 13 Monthly Meeting page.
Tony Castronova of CUASHI (Consortium of Universities for the Advancement of Hydrologic Science, Inc.) gave an overview of HydroShare and CUAHSI-JupyterHub, tools that help researchers to develop, save, and share water research workflows. This gave a cool perspective on tools that use USGS water data and complement existing USGS tools. CUAHSI has a large education component, including plentiful cyberseminar presentations that address topics of interest overlapping with the CDI!
Hydroshare workflow at https://www.hydroshare.org/
Jake Weltzin opened a series of CDI funded project presentations that will occur in the next few months, presenting on “Workflows to support integrated predictive science capacity: Forecasting invasive species for natural resource planning and risk assessment.” In addition to the daily map forecasts and other outputs about invasive insect activity, the project team is working on a report that will outline their experiences with stakeholder engagement.
Finally, Madison Langseth and I gave some of the latest information about how everyone can benefit from the upcoming CDI Workshop in Boulder, June 4-7. Right now we are focusing on getting community members to submit and comment on session ideas by the end of February, so that we can organize the topics in early March. Also, we are working on stepping up our game for virtual participation and interactive content that will help members meet and connect with each other.
Join us on March 13 for our next monthly meeting and more presentations from CDI community selected and supported projects!
The Metadata Reviewers group met and continued to share resources for effective metadata review. Among the topics that they discussed:
Guidelines for metadata review (google doc link available to Dept of Interior users) that were first discussed in November, led by Tamar Norkin.
Sharing other Data Release Guidance resources, of which there were many but a few include:
The group also has recent Q&A posted on their Metadata Discussion Forum.
The DMWG had three very informative presentations in December!
Kelly Haberstroh – Updates about the Publications Warehouse
Dennis Walworth – Updates on ISO for USGS: content specifications and current status of ADIwg
Lisa Zolly – Updates to the Digital Object Identifier Tool
Nelson, John C. hosted the first AI/ML CDI call and discussed plans for the group. Over the next several months, we will hear from different researchers around the USGS that are incorporating AI/ML techniques into their work. The group will also be a forum for questions for practitioners, such as one asked by Michelle Guy: Are people doing AI/ML work in the cloud, on local GPU hardware, or another option?
The group will stay in touch with another USGS effort focused on AI and image processing. This group was initiated in the Ecosystems Mission Area and is led by Mona Khalil. Mona held calls on 12/18 and 12/19 that focused on hearing about current activities and resources for AI and image processing.
Both groups mentioned the dl_tools lectures and toolboxes that were developed and presented by Buscombe, Daniel D. and others with support from the CDI!
dl_tools method schematic from https://dbuscombe-usgs.github.io/dl_tools
The Tech Stack group invited Ian Rose (University of California, Berkeley) to demo “Developing JupyterLab Extensions.” Ian took us through a live demo of the process of building a JupyterLab extension. “In fact, the whole of JupyterLab itself is simply a collection of extensions that are no more powerful or privileged than any custom extension.”
For fun: From the JupyterLab documentation: Let's Make an xkcd JupyterLab Extension
Visit the joint Tech Stack and ESIP Tech Dive webinar page to see the next few months of topics!
Image from the JupyterLab documentation: https://jupyterlab.readthedocs.io/en/stable/developer/xkcd_extension_tutorial.html