Vision
Knowledge Access (KA) aims to promote and sustain knowledge by creating and managing standardized and inclusive metadata for scholarly resources at NYU and its consortium institutions, in compliance with international metadata standards for global interoperability. Our dedication is focused on enhancing access to academic resources for global users through the innovative application of state-of-the-art technologies and the development of ethically-minded and domain-specific data dictionaries. The ultimate objective is to improve the user experience when accessing a diverse array of library resources.
Goals, 2025-2026
Goals, 2024-2025
- Streamline Alma workflows and enhance training and documentation; Support PrimoVE training
- KA reorganization implementation
- Metadata policies concerning diversity, privacy and accessibility
- Pilot projects on AI and metadata operations and linked data in production
Goals, 2023-2024
- Alma workflows, training and documentation
- KA reorganization implementation
- Metadata policies concerning diversity, privacy and accessibility
- Open access resources: collections and metadata policies
Goals, 2022-2023
- Alma migration
- NACO training
- E-resources metadata training
Goals, 2021-2022
- Transition to the linked data with the knowledge of data mapping and conversion as well as hands-on practices in the linked data editors through timely training and documentation, including BIBFRAME Study Group, Sinopia Editor training, RDA 3R training and PCC Wikidata project
- Enhance communications and collaborations with stakeholders by having joint meetings (e.g. Collections/Access, Research Services, etc.) and joint projects (e.g. DLTS for the Metadata policies for NYU-produced digitized collections; HathiTrust deposit workflow; IIIF, etc.)
- Streamline workflows such as creating authority records and online maintenance form; and share our documentation in public facing platform through our work with the KARMS LibGuide group
- Conduct forward-looking pilot projects to have a comprehensive survey of diverse types of metadata or descriptive metadata for all types of resources such as AV resources or images which need standardized metadata for discovery.
Goals, 2020-2021
- Integrate silos into one integrated workflow
- Standardize metadata profiles and improve metadata quality
- Document metadata policies and best practices
- Provide timely and consistent training programs for all staff
- Enhance communications and collaborations with stakeholders
