The Knowledge Analyst possesses some expertise, may act as a project lead, and performs technical operations in the area of data and information acquisition, management, analysis or dissemination. The analyst is responsible for providing analytical support to economists and other professionals at the Board and in the Federal Reserve System. The support includes research and data services, information analysis, and contributions to the design and maintenance of metadata and knowledge management solutions.
The Research Library at the Board of Governors of the Federal Reserve System is seeking a Taxonomist (Knowledge Analyst).
Research at the Federal Reserve Board is data intensive and time-sensitive. The Research Library, with a full-time staff of 14 librarians and 2 technicians, offers a full array of desktop and customized library services to the approximately 2,700 staff members at the Board. Over 400 of the Board's staff are Ph.D. economists, and many more support the research process.
Controlled vocabulary development and the use of taxonomies is strategically important to the Board’s goal of improving the user experience when searching for data. The taxonomist designs, creates, edits, and maintains specific structured taxonomies used for organizing, indexing and retrieving information. Additionally, the taxonomist works with multiple stakeholders to develop and promote new taxonomies that meet the Board’s knowledge organization needs.
- Maintain and expand the Board Subject Taxonomy and other local taxonomies, and establish processes for ongoing updates.
- Work with end users and other stakeholders to understand taxonomy needs, priorities, and business requirements and to develop use cases for and implementation of additional taxonomies.
- Work closely with metadata specialists within the library and other departments to ensure consistent application of the library’s taxonomies, other controlled vocabularies, and external authorities.
- Work on taxonomy and metadata governance and standards with other departments in a collaborative and complementary way.
- Develop taxonomies by consulting a variety of sources such as: third-party taxonomies; end users, subject matter experts, and other stakeholders; literature reviews; analysis of Board and Federal Reserve research, policy work, and other agency documentation; and eventually, through semi-automated methods.
- Help to develop the library’s long-term strategy related to linked data, semantic enrichment, autotagging, autocategorization, and ontology development, in addition to natural language processing, machine learning, and text analytics.
- Develop and maintain deep knowledge of economic, finance, and business-related terms.
- 3 years of experience in full-time taxonomy development that demonstrates growing complexity
- A demonstrated understanding of the relationships between and uses of taxonomies, thesauri, ontologies, metadata management and application, controlled vocabularies, and authority control
- Familiarity and experience with linked data concepts and standards such as RDF data modeling, semantic web, OWL, SKOS, SPARQL, and Schema.org
- Experience with taxonomy management tools such as MultiTes, TopBraid, PoolParty, Data Harmony, SmartLogic, Synaptica
- Familiarity with library metadata standards such as AACR2-R, RDA, MARC21, MODS, Dublin Core, Library of Congress Subject Headings (LCSH), and LC classification schedules
- Comfortable taking an active and visible role representing the Library team to diverse stakeholders
- Ability to work closely with end users to facilitate their input into taxonomy development
- Excellent written and verbal communication skills
- Able to work both on a team and independently to deliver results
- Subject matter expertise in economics, finance, and business is preferred but not required
- Familiarity with creating and optimizing auto-categorization rules
- Experience in coding/scripting and querying (Perl, PHP, Python, SPARQL Query or other programming languages)
Please apply at https://www.federalreserve.gov/careers.htm , JobID: 20480 to be considered.