Jane Frazier
As an information scientist, I work to improve user access to information, on the Web and otherwise. My specific focus is on user research & user-centered design, metadata standards and taxonomies, bringing stucture to data and the language used by experts and novices in a given field. I thrive in a diverse environment of designers, engineers and users.
Ontology Design 101
Intro to Wikidata & SPARQL
Data curation at Dryad: a former curator's perspective
Flying solo: data librarians outside {traditional} libraries
Taxonomies for eCommerce
Intro to graph databases
Intro to Oreo, a master data management system for collectibles
Linked data & the Medium of Performance Thesaurus
Intro to music information retrieval
The Library of Congress Medium of Performance Thesaurus
Intro to Philately
Stamp collectors: who are they?
The tools listed here are what I'm currently using or playing around with on-the-job or elsewhere.
The ontology and data science practices at SEEK work together to develop and train models for named entity recognition in order to improve ontology web services that are used across the business. We use Prodigy to capture those annotations in a machine-friendly format.
At SEEK, we use PoolParty to house, manage, and share our in-house employment market ontology.
While at ANDS, I used the schema browser and querying functionality of Solr's admin UI to research how controlled and uncontrolled subject tags are being used in a registry for Australian research data.
Using the knowledge gained (and data collected) by querying the RDA Solr index, I used OpenRefine to match user-provided tags to appropriate controlled vocabularies available via web services. (Read more about fetching URLs from web services and GREL, the General Refine Expression Language).
Leveraging code written by my awesome colleagues at ANDS, I learned XSL on-the-job by transforming metadata about research data from bespoke XML for ingestion into a registry for Australian research data.
I've encoded my website using elements from the Schema.org vocabulary in order to make it easier for machines (like the Google search engine) to understand. (Read more about structured data and rich snippets here and I also recommend this great article by Jason Ronallo on applications for libraries).
In order to learn more about CSS toolkits, I've made use of the Font Awesome icon library to make my website look spiffy.