Searcharxiv⌕ Search
Home/Archive/arXiv

arXiv · cs/0605111

A Metadata Registry from Vocabularies UP: The NSDL Registry Project

Diane I. Hillmann·Stuart A. Sutton·Jon Phipps·Ryan Laundry
View original source ↗Read source document ↗Export metadata ↓

Abstract

The NSDL Metadata Registry is designed to provide humans and machines with the means to discover, create, access and manage metadata schemes, schemas, application profiles, crosswalks and concept mappings. This paper describes the general goals and architecture of the NSDL Metadata Registry as well as issues encountered during the first year of the project's implementation.

Explore related subjects

cs.DL

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Diane I. Hillmann, Stuart A. Sutton, Jon Phipps, Ryan Laundry. 2006-05-24. A Metadata Registry from Vocabularies UP: The NSDL Registry Project. https://arxiv.org/abs/cs/0605111

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

arXiv2026

Perception and Utilization of Data Carpentry Tools among Research Scholars at University of Kerala

Data Carpentry (DC) has been developed to instruct participants on essential concepts, skills, and tools for more effective and reproducible data management. DC emphasizes data literacy, aiming to equip researchers with the skills necessary to retrieve, view, manipulate, analyze, and store their own and other's data in an open and reproducible manner to derive insights from data. The objective of this study was to assess the perceptions and attitudes towards DC among research scholars of University of Kerala and to find out the purpose for which DC tools is used by the research scholars in the University of Kerala. This study requires a sample of 167 and 179 research scholars completed a questionnaire from a total population of 294 using the Krejcie and Morgan formula, with a 95% confidence interval and a 5% margin of error. SPSS version 22 was used to perform descriptive and inferential statistics on the data. 65.9% of research researchers have experience with DC tools. 48.6% of research researchers at the University of Kerala use DC tools primarily for data analysis. 40.2% of research academics identified insufficient access to training as the most significant obstacle they experience while utilizing DC tools in the study. DC emphasizes data literacy, aiming to equip researchers with the skills necessary to access, view, modify, analyze, and manage their own and others' data in an open and repeatable manner to derive insights from data.

cs.DL↗
arXiv2026

LODox: A Web-Based Platform for Cultural Heritage Linked Data Discovery

Recent advances in Large Language Models have transformed how data can be linked, discovered, and enhanced. LODox, Linked Open Data at Oxford, is an evolving web-based platform that embraces this transformation for cultural heritage Linked Open Data. LODox features a novel interface with intuitive card-based data presentation and visualization in a semantic portal. It represents an evolving approach to explore heterogeneous cultural heritage data across multiple sources through a unified interface. In this paper, we will briefly describe the LODox architecture, its implementation, and future development plan, particularly its alignment and integration with Solid.

cs.DL↗
arXiv2026

From Triples to Cards: A Web Component for Human-Readable Linked Open Data

JSON-LD is getting increasing attention for publishing Linked Data, especially within cultural heritage. We present LODox Data Viewer, a reusable web component library for data presentation and visualization in semantic portals. It renders JSON-LD as human-readable, themeable cards, embeddable in any semantic portal page with a single script tag. Package URL: https://www.npmjs.com/package/lodox-data-viewer

cs.DL↗