Proceedings of the International Conference on Dublin Core and Metadata Applications (DCMI)
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Understanding Metadata Needs when Migrating DAMS
No full textThis study identifies and explores metadata needs associated with migrating to a new Digital Asset Management System (DAMS). Drawing upon results from a 2014 survey, titled “Identifying Motivations for DAMS Migration: A Survey,” this paper analyzes survey questions related to metadata, interoperability, and digital preservation. Results indicate three distinct metadata needs for future system development, including support for multiple or all metadata schema, metadata reuse, and digital object identifiers. While some of these needs resemble long-standing conversations in the professional literature, others offer new areas for system development moving forward
Evolution of an Application Profile: Advancing Metadata Best Practices through the Dryad Data Repository
No full textDryad is a curated digital archive for data associated with scholarly publications. In an effort to facilitate the discoverability, reusability, and interoperability of archived content, Dryad has implemented a standardized set of metadata elements in the form of a Dublin Core Application Profile (DCAP, hereafter referred to as application profile). This paper examines the evolution of Dryad’s application profile from its inception in 2007 to its current practice, version 3.2. We model the relationships between data packages, data files, and publications for each version of the application profile and perform a crosswalk analysis to map equivalent metadata elements across each version. Results covering versions 1.0 to 3.0 show an increase in the number of metadata elements used to describe data objects in Dryad. Results also confirm that Version 3.0, which envisioned separate metadata element sets for data package, data files, and publication metadata, was never fully realized due to constraints in Dryad system architecture. Version 3.1 subsequently reduced the number of metadata elements captured by recombining the publication and data package element sets. This paper documents current practice in the form of version 3.2, and informs a larger effort to update the application profile to meet the needs of Dryad's diverse community of stakeholders and expanding scope
Interlinking Two Institutional KOS about Agroecology: Using LOD Agrovoc to Circumvent the Language Barrier in Identifying Terminological Intersections
Get PDFThis poster proposes the use of a Dublin Core metadata standard to present and make available the models generated by the species distribution modeling tool openModeller, in order to facilitate interoperability of the data generated by tool itself or other modeling tools. One of the problems of the other current tools of species distribution modeling is that they generate models with their bespoke standards that mean the models cannot be used in other tools. Among the existing tools for species distribution modeling, openModeller stands out with some advantages over other species distribution modeling tools because it allows different formats for data input of occurrence of species, environmental data and parameters for the algorithms thus supporting users and users group in reach your goals without needing to know different platforms and modeling tools
Advancing Materials Science Semantic Metadata via HIVE
No full textMetadata challenges in the materials science community have surfaced due to national and international data sharing policies and the Material Genome Initiative. Among the more pressing challenges is the need to develop semantic ontologies, given their capacity to support information retrieval and discovery, interoperability, and linking of related resources. Researchers engaged in the Materials Science Metadata Infrastructure Initiative are addressing this need by working with Helping Interdisciplinary Vocabulary Engineering (HIVE) technology in the area of metals. This poster reports the process and the initial results of an ontology focused on the topic of metal developed in Simple Knowledge Organization System (SKOS), a World Wide Web Consortium (W3C), and integrated into the HIVE technology
EZID: Easy Identifier and Metadata Management
No full textEZID (pronounced easy-eye-dee) is an innovative service supporting the creation and management of identifiers, their accompanying metadata, and long-term access to things on the Internet. It is one of the few services that can supply a diversity of identifier and metadata types, and do so at the earliest stages of content development, long before the content is archived or its value is understood. Based at the University of California, EZID is a member of global organizations such as DataCite and CrossRef, partners with national libraries, and has over 90 customers in three continents with users on all continents. In fact it is the largest and fastest growing member of the DataCite consortium. The EZID user interface is being revised to support multiple languages. A number of features make EZID unique. Its identifiers and metadata can describe anything of any type: documents, films, digitized maps, datasets, fossils, stars, vocabulary terms, people, etc. Moreover, it is designed to support any kind of identifier (currently ARKs and DOIs) and a variety of metadata profiles, such as Dublin Core, Kernel, and DataCite. Its affiliated "resolvers," n2t.net (standing for Name-to-Thing) and doi.org, support persistent identifier reference for any Internet user. The n2t.net resolver has an unusual scaling feature called "suffix passthrough" that permits a customer to manage one identifier (eg, for a top level collection) in such a way that it is capable of resolving many thousands of sub-identifiers. Applications of EZID are numerous. Its identifiers support citation, credit, visibility, and impact tracking; for example, its ARK and DOI identifiers are listed in Thomson Reuters' Data Citation Index
Leveraging SKOS to Trace the Overhaul of the STW Thesaurus for Economics
No full text"What’s new?" and "What has changed?" are questions users of Knowledge Organization Systems (KOS), such as thesauri or classifications, ask when a new version is published. Much more so, when a thesaurus existing since the 1990s has been completely revised, subject area for subject area. After four intermediately published versions in as many consecutive years, STW Thesaurus for Economics has been re-launched recently in version 9.0. In total, 777 descriptors have been added; 1,052 (of about 6,000) have been deprecated and in their vast majority merged into others. More subtle changes include modified preferred labels, or merges and splits of existing concepts. We here describe how these changes were tracked, making use of the published SKOS files of the versions, loading them into named graphs of a SPARQL endpoint and executing queries on them. An ontology supporting version and delta description and query formulation is introduced. High-level visualizations of aggregated change data and drill-downs to the actual concepts are presented. We finish with an outlook to the skos-history project, which generalizes and extends the methodology to different knowledge organization systems
The Linkable Neil Armstrong: Using BIBFRAME to Increase Visibility of Digital Collections
No full textThis report describes the initial phase of an experimental project to increase Web visibility of the Neil Armstrong Commemorative Archive, a digital collection of archival materials concerning astronaut Neil Armstrong’s tenure at the University of Cincinnati. The project description includes explanation of the mapping process from Qualified Dublin Core to BIBFRAME as well as data reconciliation and linking to external authorities such as id.loc.gov, VIAF, and Wikipedia. Next steps in the project, such as integrating related MARC datasets from local library catalogs, are also discussed
Metadata Quality Control for Content Migration: The Metadata Migration Project at the University of Houston
No full textThe decision to migrate digital objects from one digital asset management system to another creates an excellent opportunity to clean and standardize descriptive metadata. The processes involved in moving large amounts of data from one platform to another lend themselves to automated analysis and remediation of metadata problems. The University of Houston (UH) Libraries established a Digital Asset Management System (DAMS) Implementation Task Force in early 2014 to explore possibilities for implementing a more robust repository architecture for the UH Digital Library (DL). During the digital asset management system testing process, the UH Libraries Metadata Services Coordinator developed a set of scripts that programmatically accessed the data in the UHDL through the existing digital asset management system’s application programming interface (API), created reports that were used to identify and correct problems, and laid the foundation for publishing UHDL data as linked data. This project report discusses the background for the work of the DAMS Implementation Task Force work and the metadata quality improvements that resulted from it as part of a new Metadata Migration Project
Introductions and Committees
No full textPreliminary pages including introductory comments, Program Committee listing and table of contents
Provenance Description of Metadata using PROV with PREMIS for Long-term Use of Metadata
No full textProvenance description is necessary for long-term preservation of digital resources. PREMIS and OAIS, which are well-known standards designed for digital preservation, define descriptive elements for digital preservation. Metadata, which is a data about a primary digital resource, has to be preserved as well as the primary resource. However, due to the changing technology and information context, metadata is at risk in damage or even loss. Thus, metadata preservation is important as well as digital object preservation. Metadata provenance is a rather new research topic but critical for keeping metadata about preserved resources consistently over time. This paper discusses provenance description in two aspects - provenance of digital object and provenance of metadata including metadata schemas. These are called digital provenance and metadata provenance, respectively. The goal of this paper is to clarify the concepts of digital provenance and metadata provenance based on some well-known standards - PREMIS, OAIS, PROV, and so forth, and to propose a novel model of provenance description for digital preservation based on the ontologies of PREMIS and PROV. The paper firstly explains digital provenance and metadata provenance. Next, we outline some major models and standards for provenance description. Then, this paper proposes to integrate PROV-O with PREMIS OWL Ontology in order to merge the provenance description model in PROV-O and the digital preservation model in PREMIS OWL Ontology. This paper also presents the merged model using some maintenance scenarios of digital objects and metadata. Lastly, we discuss metadata schema provenance, metadata object provenance and some other open issues