Dublin Core Metadata Element Set Research Articles

From ChatGPT to CatGPT

This paper explores the potential of language models such as ChatGPT to transform library cataloging. Through experiments with ChatGPT, the author demonstrates its ability to generate accurate MARC records using RDA and other standards such as the Dublin Core Metadata Element Set. These results demonstrate the potential of ChatGPT as a tool for streamlining the record creation process and improving efficiency in library settings. The use of AI-generated records, however, also raises important questions related to intellectual property rights and bias. The paper reviews recent studies on AI in libraries and concludes that further research and development of this innovative technology is necessary to ensure its responsible implementation in the field of library cataloging.

Technology, Metadata and Mannix Library Special Collections

This paper discusses the varying metadata and technical standards used with Mannix Library’s special collections, specifically descriptive standards, the MARC standard, the Dublin Core Metadata Element Set in use with the University of Divinity’s CONTENTdm repository and tools such as Mirador, Omeka and the services they interact with. The paper merges and expands on a virtual conference presentation for ANZTLA Virtual Mini-Conference 2020 and several posts for a pre-conference cataloguing workshop.

An interactive metadata model for structural, descriptive, and referential representation of scholarly output

The scientific metadata model proposed in this article encompasses both classical descriptive metadata such as those defined in the Dublin Core Metadata Element Set (DC) and the innovative structural and referential metadata properties that go beyond the classical model. Structural metadata capture the structural vocabulary in research publications; referential metadata include not only citations but also data about other types of scholarly output that is based on or related to the same publication. The article describes the structural, descriptive, and referential (SDR) elements of the metadata model and explains the underlying assumptions and justifications for each major component in the model. ScholarWiki, an experimental system developed as a proof of concept, was built over the wiki platform to allow user interaction with the metadata and the editing, deleting, and adding of metadata. By allowing and encouraging scholars (both as authors and as users) to participate in the knowledge and metadata editing and enhancing process, the larger community will benefit from more accurate and effective information retrieval. The ScholarWiki system utilizes machine‐learning techniques that can automatically produce self‐enhanced metadata by learning from the structural metadata that scholars contribute, which will add intelligence to enhance and update automatically the publication of metadata Wiki pages.

Hyper Text Mark-up Language and Dublin Core metadata element set usage in websites of Iranian State Universities' libraries.

Introduction:Recent progress in providing innovative solutions in the organization of electronic resources and research in this area shows a global trend in the use of new strategies such as metadata to facilitate description, place for, organization and retrieval of resources in the web environment. In this context, library metadata standards have a special place; therefore, the purpose of the present study has been a comparative study on the Central Libraries’ Websites of Iran State Universities for Hyper Text Mark-up Language (HTML) and Dublin Core metadata elements usage in 2011.Materials and Methods:The method of this study is applied-descriptive and data collection tool is the check lists created by the researchers. Statistical community includes 98 websites of the Iranian State Universities of the Ministry of Health and Medical Education and Ministry of Science, Research and Technology and method of sampling is the census. Information was collected through observation and direct visits to websites and data analysis was prepared by Microsoft Excel software, 2011.Results:The results of this study indicate that none of the websites use Dublin Core (DC) metadata and that only a few of them have used overlaps elements between HTML meta tags and Dublin Core (DC) elements. The percentage of overlaps of DC elements centralization in the Ministry of Health were 56% for both description and keywords and, in the Ministry of Science, were 45% for the keywords and 39% for the description. But, HTML meta tags have moderate presence in both Ministries, as the most-used elements were keywords and description (56%) and the least-used elements were date and formatter (0%).Conclusion:It was observed that the Ministry of Health and Ministry of Science follows the same path for using Dublin Core standard on their websites in the future. Because Central Library Websites are an example of scientific web pages, special attention in designing them can help the researchers to achieve faster and more accurate information resources. Therefore, the influence of librarians’ ideas on the awareness of web designers and developers will be important for using metadata elements as general, and specifically for applying such standards.

Design of a Personal Health Record and Health Knowledge Sharing System Using IHE-XDS and OWL

Personal Health Record systems (PHRs) provide opportunities for patients to access their own PHR. However, PHRs are teeming with medical terminologies, such as disease and symptom names, etc. Patients need readily understandable and useful health knowledge in addition to their records in order to enhance their self-care ability. This study describes a Personal Health Record and Health Knowledge Sharing System (PHR&HKS) whereby users not only can maintain and import their PHR, but also can collate useful health Web resources that are related to their personal diseases. Furthermore, they can share the collated Web resources with any user with the same diseases and vice versa. To fulfill these objectives, IHE Cross-Enterprise Document Sharing (XDS) architecture was adopted to share and integrate the PHR. A registry ontology, consisting of part of the XDS document metadata attributes, the ICD-9-CM code, and part of the Dublin Core Metadata Element Set (DCMES), was created to enhance the health knowledge collating and sharing functions. The system was then tested and evaluated by 30 users. Among these individuals, 24 (81 %) held positive views on the ease of use and usefulness of the system while the remainder, who held either neutral (14 %) or negative (5 %) attitudes, were identified as individuals who were somewhat unwilling to maintain any PHR or share any information with others.

Datos.bne.es: A library linked dataset

We describe the datos.bne.es library dataset. The dataset makes available the authority and bibliography catalogue from the Biblioteca Nacional de Espaoa BNE, National Library of Spain as Linked Data. The catalogue contains around 7 million authority and bibliographic records. The records in MARC 21 format were transformed to RDF and modelled using IFLA International Federation of Library Associations ontologies and other well-established vocabularies such as RDA Resource Description and Access or the Dublin Core Metadata Element Set. A tool named MARiMbA automatized the RDF generation process and the data linkage to DBpedia and other library linked data resources such as VIAF Virtual International Authority File or GND Gemeinsame Normdatei, the authority dataset from the German National Library.

Automatic Identification of Learning Object Type

With energetic development of the Internet, online learning object repositories and web based learning systems have become more and more realistic and popular in the past ten years. One of the essential characteristics of learning object is, it should be discoverable depending on its characteristics. This usually entails tagging them with appropriate descriptive metadata. Learning is a cognitive activity that differs from student to student. Achieving personalization and adaptability is not possible till the learning objects are properly attributed. Again metadata instantiation is a difficult task. The Dublin Core metadata element set and IEEE Learning object metadata are two popular metadata standards that facilitate tagging of learning material. This paper showcases automatic identification of Learning Object Type. Experimental evaluation and results depict satisfaction level of users. General Terms Information Retrieval

Design and collection of ontological metadata for enhancing interoperability of language resources

This paper describes the design and implementation of a large scale ontological database named SHACHI, storing detailed metadata on language resources (LRs) in Asian and Western countries. SHACHI has been constructed to enhance the interoperability of LRs, that is, to effectively combine LRs, to systematically store LR metadata, to provide a common infrastructure for web services, to investigate languages, tag sets, and formats compiled in LRs, and to ultimately utilise all these factors for more efficient development of LRs. This ontological metadata database, containing more than 2,000 compiled LRs such as corpora, dictionaries, thesauruses and lexicons, has an aspect of an archive of a large scale metadata of LRs, and its website is now open to the public and accessible to all internet users. SHACHI metadata set is an extended version of OLAC metadata set which conforms to Dublin Core metadata element set. This paper first presents the methodologies to systematically store LR metadata and efficiently LR catalogues, and then explains the structure of the ontological metadata database, as well as the realisation of the LR catalogue search tool. The usefulness of the ontology search function has been investigated.

Enriching the trustworthiness of health-related web pages

We present an experimental mechanism for enriching web content with quality metadata. This mechanism is based on a simple and well-known initiative in the field of the health-related web, the HONcode. The Resource Description Framework (RDF) format and the Dublin Core Metadata Element Set were used to formalize these metadata. The model of trust proposed is based on a quality model for health-related web pages that has been tested in practice over a period of thirteen years. Our model has been explored in the context of a project to develop a research tool that automatically detects the occurrence of quality criteria in health-related web pages.

"TERMINY METADANYCH DCMI" I MOŻLIWOŚCI ICH WYKORZYSTANIA W OPISIE RZECZOWYM

DCMI Metadata Terms is an up-to-date specification of all metadata terms maintained by the Dublin Core Metadata lnitiative. Included are the fifteen termsof the Dublin Core Metadata Element Set (v. 1.1). The hierarchy and appropriate linking between the terms has been created. Number of the subject elementshas increased. Partly it is the refinements of the basie elements but some of them are completely new. AIthough the conversion into and from MARC fieldsis aiready possible, some difficulties are encountered and need to be solved. Usage of the DCMI Metadata Terms has not become widespread yet, howeverthe elements enter the structures of the catalogues.

Selected abstracts of standards under review, 2006‐2007: Notes from the ASIS&T Standards Committee (ASIS&T‐SC)

Selected abstracts of standards under review, 2006‐2007: Notes from the ASIS&T Standards Committee (ASIS&T‐SC)

OCLC's Work with the Dublin Core Metadata Element Set

ABSTRACT OCLC (Online Computer Library Center) involvement with the Dublin Core Metadata Element Set dates to 1995, when it hosted a meeting of parties interested in metadata schema for use in the World Wide Web environment. The Dublin Core Metadata Element Set grew from the conversations at that meeting. Since that time, OCLC has developed within its cataloging interfaces functionalities to allow OCLC libraries to implement Dublin Core elements. This article provides a brief overview of OCLC's efforts in this area.

Application Profile Development for Consortial Digital Libraries

In 2002, OhioLINK’s consortia of libraries recognized the need to restructure and standardize the metadata used in the OhioLINK Digital Media Center as a step in the development of a general purpose digital object repository. The authors explore the concept of digital object repositories and mechanisms used to develop complex data structures in a cooperative environment, report the findings and recommendations of the OhioLINK Database Management and Standards Committee (DMSC) Metadata Task Force, and identify lessons learned, addressing data structures as well as data content standards. A significant result of the work was the creation of the OhioLINK Digital Media Center (DMC) Metadata Application Profile and the implementation of a core set of metadata elements and Dublin Core Metadata Element Set mappings for use in OhioLINK digital projects. The profile and core set of metatadata elements are described.

New Discoveries in the André Savine Collection: Examining the Author-Generated Metadata Contained in the Bibliographic and Biographical Record of André Savine

SUMMARY This article describes the André Savine collection, recently acquired by the University of North Carolina, and reports on an analysis of author-generated metadata contained in a portion of the bibliographic/biographical record compiled by the late André Savine. For this study, the contents of 368 index cards created by Savine were analyzed for core bibliographic elements (author-generated descriptive metadata). Elements were identified and conceptually mapped to the English and Russian versions of the Dublin Core Metadata Element Set (DCMES). Results of this study indicate that Savine created extensive descriptive metadata and that ten of these data elements map to the DCMES. Other key metadata elements that do not map to DC were also identified. It is recommended that these additional elements also be incorporated into the schema used to facilitate resource discovery of Savine's index cards. The descriptive metadata extracted from Savine's bibliographic and biographical information provide a model metadata scheme that can be used with similar projects in the future.

文化科学研究分野における情報資源共有化について

We are now in feasibility studies on the project for information resource sharing among many National Research Institutes on the humanity sciences in Japan. The project is collaboration with National Institute of Japanese Literature, National Museum of Ethnology, National Museum of Japanese History, International Research Center for Japanese Studies, The Historiographical Institute of University of Tokyo, Center for Southeast Asian Studies of Kyoto University, The Graduate University for Advanced Studies, and so on. It has an objective of developing system and technologies on seamless access to the individual databases held in these Institutes. We use the Dublin Core Metadata Element Set for metadata system and the Z39.50 protocol for information retrieval system and the HTML for user interface.

Distributed learning metadata standards

SIGNIFICANT ECONOMIES can be achieved in distributed learning systems architected with a focus on interoperability and reuse. The key building blocks of an efficient distributed learning architecture are the use of standards and XML technologies. The goal of plug and play capability among various components of a distributed learning system requires the specification of standards for each component. Here we examine one component in distributed learning system architecture, namely, the metadata for the learning object. Metadata enables the cataloging and discovery of educational materials. Two metadata standards are LOM (Learning Object Metadata) and Dublin Core Metadata Element Set. LOM was released as IEEE 14.12.1 in June 2002. Dublin Core was ratified by the International Standards Organization (ISO) in January 2003 as ISO 15836. Interoperability of components across platforms, languages, and systems utilizes XML technologies to implement the distributed learning standards. We include an explanation of the fundamentals of XML and explore the role of XML technologies in distributed learning.

Unqualified Dublin Core usage in OAI‐PMH data providers

This research describes an empirical study of how the Dublin Core Metadata Element Set (DCMES) is used by 100 data providers (DPs) registered with the Open Archives Initiative (OAI). The research was conducted to determine whether or not the DCMES is used to its full capabilities. Of 100 DPs, 82 have metadata records available for analysis; the DC elements used in each record were parsed and counted. Of the 15 elements, five – creator, identifier, title, date, and type – are used 71 per cent of the time and 54 per cent of the 82 DPs used only the creator and identifier elements for approximately half of their overall DCMES usage. The results show the DCMES is not used to its fullest extent within DPs registered with OAI.

Standards - Metadata standards for educational resources

In the 1990s, recognition of the potential economies of reusing educational materials spawned the development of metadata standards for sharing and storing learning objects. Metadata is data that describes a physical or electronic resource and can be used to manage collections of documents, images, and other information in a repository such as an archive or museum. Some metadata elements, such as title, description, subject, and keywords, are similar to those that libraries use to catalog their holdings. Other elements, such as the uniform resource identifier (URI), are specific to a digital, Web-based environment. Metadata can be stored in a digital library or repository that provides services to search or browse for educational materials. The Dublin Core Metadata Element Set and IEEE Learning Object Metadata are two popular metadata standards that facilitate cataloging, searching, and reuse of such resources.

Mining the Metadata Quarries

It is a foregone conclusion that metadata describing digital resources in a globally networked environment will be a bedrock for the Semantic Web. The four articles in the special section of this issue of the Bulletin touch on a few of the threads in metadata research, development and deployment. While for many the notion of metadata is a simple one and hardly new, the proliferation in a globally networked environment of metadata schemas expressing the needs of discourse and practice communities as well as organizations throughout the private and public sectors taxes our understandings of semantic interoperability. Research and development cover many different areas including interoperability among complex schema and value spaces; application profiles that permit the wedding of metadata statements from disparate schemas through network-accessible schema registry services; and metadata support tools. In this issue we look at a sample of current work. Rebecca Guenther and Sally McCallum examine the rationale and the basic architecture of the Metadata Object and Description Schema (MODS) and the Metadata Encoding and Transmission Standard (METS). MODS is intended as a bridge between the descriptively rich MARC 21 metadata and terse metadata schema such as the Dublin Core Metadata Element Set. The authors describe the basic features of MODS, its prospective users and current experimentation in its use. METS is an XML-based schema that provides a means for packaging, or pointing to, descriptive, administrative, structural, rights and behavioral metadata for digital resources. METS supports the seamless flow of metadata and electronic resources between networked systems. Jane Greenberg's article defines a framework for identifying and examining processes of metadata generation, the tools required for that generation and the categories of metadata creators – human and automatic. In addition to providing class definitions for the various entities in her metadata generation framework, Greenberg provides references to examples of metadata generation tools and research and development projects. The article includes a brief description of the Metadata Generation Research Project at the University of North Carolina studying the entities in the framework and developing protocols for collaborations in its various processes. The final two articles focus on value space problems. Joseph Tennis describes a pilot study that explores the interoperability problem faced by multiple metadata projects making statements by means of disparate controlled vocabularies. The goal of the study is to test a methodology for developing a switching language using card sorts, cluster analysis and talk-aloud protocols. Wang Jun's article discusses the tools, architecture and the implementation of an experimental system to support knowledge management. He describes development of a concept network consisting of nodes and edges developed from the Chinese Classification and Thesaurus, an integrated product widely used in Chinese libraries, to which metadata records are bound. Research includes expanding and customizing the concept network using information from the titles from the bibliographic records. The test database is in computer science.

Implementation of Dublin Core at the University of Alberta Libraries

The article describes the application of the Dublin Core metadata scheme for the digital collections, the Alberta Folklore and Local History, housed at the University of Alberta Libraries. It highlights the metadata needs for describing an archival collection, a detailed metadata encoding structure, the metadata authority guidelines, and the use of controlled vocabulary. It concludes that the extended Dublin Core metadata element set derived from this project is also feasible for describing other locally developed digital collections.