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/EyqXOnce 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
