https://dcpapers-past.dublincore.org/pubs/issue/feed 2020-03-30T09:08:03+00:00 Open Journal Systems <strong>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DUBLIN CORE AND METADATA APPLICATIONS</strong><br /> <em>Published by the Dublin Core Metadata Initiative</em><br /> ISSN: 1939-1366 (Online) https://dcpapers-past.dublincore.org/pubs/article/view/4223 2020-03-30T03:53:09+00:00 Brian Dobreski [email protected] Jaihyun Park [email protected] Alicia Leathers [email protected] Jian Qin [email protected]

Though archival resources may be valued for their uniqueness, they do not exist in isolation from each other, and stand to benefit from linked data treatments capable of exposing them to a wider network of resources and potential users. To leverage these benefits, existing, item-level metadata depicting physical materials and their digitized surrogates must be remodeled as linked data. A number of solutions exist, but many current models in this domain are complex and may not capture all relevant aspects of larger, heterogeneous collections of media materials. This paper presents the development of the Linked Archives model, a linked data approach to making item-level metadata available for archival collections of media materials, including photographs, sound recordings, and video recordings. Developed and refined through an examination of existing collection and item metadata alongside comparisons to established domain ontologies and vocabularies, this model takes a modular approach to remodeling archival data as linked data. Current efforts focused on a simplified, user discovery focused module intended to improve access to these materials and the incorporation of their metadata into the wider web of data. This project contributes to work exploring the representation of the range of archival and special collections and how these materials may be addressed via linked data models.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4225 2020-03-30T03:53:13+00:00 Eunah Snyder [email protected] Lisa Lorenzo [email protected] Lucas Mak [email protected]

Linked open data (LOD) has long been touted as a means to enhancing discovery of library resources through the use of robust links between related items and concepts. Recently, libraries have begun to experiment with LOD sources such as Wikidata and DBpedia to harness usercontributed resources and enhance information displayed in library discovery systems. The Michigan State University Libraries (MSUL) Digital Repository Team has embarked on a project to display contextual information from Wikidata and DBpedia in "knowledge cards" (informational pop-up windows) alongside subject headings with the goal of providing users with more information on items in the digital repository. This paper will briefly describe this project and outline a quality analysis initiative meant to evaluate linkages between Library of Congress Subject Heading (LCSH) and Wikidata as well as the results of this analysis. It will also address a number of challenges encountered in terms of mapping between different controlled vocabularies. Finally, it will conclude with possible next steps for improving the accuracy of knowledge cards and the LOD that supports them.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4227 2020-03-30T03:53:16+00:00 Daichi Machiya [email protected] Tomoko Okuda [email protected] Masahide Kanzaki [email protected]

The National Diet Library, Japan (NDL), with support by Xenon Limited Partners, has designed a new metadata schema based on the RDF model while developing a national platform for metadata aggregation and sharing, "Japan Search". Japan Search collects metadata from libraries, museums, archives, and research institutions across the country, and provides an integrated search service as well as APIs (SPARQL Endpoint and REST-API). The aim of this paper is to introduce the new schema, highlighting its dual-layered data model and the normalization of temporal (When), spatial (Where), and agential (Who) information provided in the source data.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4229 2020-03-30T03:53:19+00:00 Brinna Michael [email protected] Myung-Ja K. Han [email protected]

As interest in linked data grows throughout the cultural heritage community, it is necessary to critically assess current tools for conversion and creation of linked data "records" and to explore new avenues for creating and encoding data using existing frameworks. This paper discusses the BIBFRAME 2.0 model and Library of Congress conversion specifications from MARC21 through the process of designing and implementing an adapted, minimal-level conversion framework into the cataloging web application, Metadata Maker. In the process of assessment, we identified and addressed local solutions for three key structural issues resulting from the Library of Congress conversion specifications: duplicated data, pervasiveness of blank nodes in RDF/XML, and prevalence of literal data values over URIs stemmed from the current MARC records environment. Additionally, we address concerns with how the BIBFRAME 2.0 model currently conceptualizes Work and linked data as a static "record."

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4231 2020-03-30T03:53:22+00:00 Anne Washington [email protected] Annie Wu [email protected] Santi Thompson [email protected] Todd Crocken [email protected] Leroy Vallejo [email protected] Sean Watkins [email protected] Andrew Weidner [email protected]

The University of Houston (UH) Libraries, in partnership and consultation with numerous institutions, was awarded an Institute of Museum and Library Services (IMLS) National Leadership/Project Grant to support the creation of the Bridge2Hyku (B2H) Toolkit. Research shows that institutions are inclined to switch from proprietary digital systems to open source digital solutions. However, content migration from proprietary systems to open source repositories remains a barrier for many institutions because of a lack of tools, tutorials, and documentation. The B2H Toolkit includes general migration strategies and use cases as well as tools specifically designed for transitioning from CONTENTdm, a digital collections management software, to the Hyku digital repository. The toolkit acts as a comprehensive resource to guide migration practitioners in migration planning, metadata analysis and harmonization, and to facilitate the repository migration process. This paper focuses on how the toolkit’s metadata guidelines and migration tools aid in migration planning, metadata analysis, metadata application profile development, metadata harmonization, and bulk ingest of digital objects into Hyku.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4233 2020-03-30T03:53:26+00:00 Hollie C. White [email protected] Leisa Gibbons [email protected] Eileen Horansky [email protected]

Memory institutions and other organizations interested in preserving social media data are using a variety of collection level metadata to represent those materials. The aim of this paper is to start a dialogue within the metadata community about how metadata professionals can describe social media collections in better ways to ensure that the semantic complexity of hashtags remain intact at the collection level. This paper explores how hashtags manifest semantic metadata and how that expression is formally described. A study was conducted using two datasets. The first dataset on hashtags as defined by professional literature was examined and categorized using thematic analysis. The second dataset collected metadata from a selection of Document the Now Twitter datasets and was categorized using Gilliland’s (2016) five categories of metadata. Findings delve into the use of collection level metadata to describe social media content.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4235 2020-03-30T03:53:28+00:00 Sonia Pascua [email protected] Kai Li [email protected]

The role of metadata to support research cannot be underestimated; and, yet, it is difficult to develop a systematic understanding of metadata activities throughout the research process. In this paper, we preliminary analyzed how metadata activities were embedded in the research and data lifecycles. Specifically, we identified some key metadata activities associated with the components of the generic research process, from hypothesis formulation to disseminating the results and data management. The exploration raised epistemological questions about the presence of metadata activities in conducting research and managing data. This work conceptualized and grounded the connection between metadata and the lifecycles of research and data processes and presented a high-level mapping identifying the cross section of their activities and established the impression of metadata value in the field of scientific research and data management.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4237 2020-03-30T03:53:31+00:00 Mark E. Phillips [email protected] Oksana L. Zavalina [email protected] Hannah Tarver [email protected]

Digital collections in cultural heritage institutions are increasingly digitizing physical items, collecting born-digital items, and making these resources available online. Metadata plays a crucial role in the discovery and management of these collections, which makes it important to identify areas of metadata improvement. A number of frameworks and associated metrics support metadata evaluation but this paper focuses on a less-studied aspect of accessibility by using traditional network analysis to understand the connections between metadata records created through shared data values, in elements such as subject or creator. The goal of the research reported in this paper is to investigate potential uses of network analysis and to determine which metrics hold the most promise in effective assessment of metadata at the database or collection level. We introduce the Metadata Record Graph and analyze how it can be used to better understand various-sized collections of metadata.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4239 2020-03-30T03:53:34+00:00 Nuno Freire [email protected] Antoine Isaac [email protected]

Wikidata is an open data source with many potential applications. Our study aims to evaluate the usability of Wikidata as a linked data source for acquiring richer descriptions of digital objects within the context of Europeana, a data aggregator from the cultural heritage domain. Specifically, we aim to crawl and convert Wikidata using the standard approaches and operations developed for the (Semantic) Web of Data, i.e. using technologies like linked data consumption and RDF(S)/OWL ontology expression and reasoning. We also seek to re-use existing "semantic" specifications, such as conversions to and from generic data models like Schema.org and SKOS. We have developed an experimental set-up and accompanying software to test the feasibility of this approach. We conclude that Wikidata’s linked data is able to express an interesting level of semantics for cultural heritage, but quality can still be improved and a human operator still must assist linked data applications to interpret Wikidata’s RDF.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4241 2020-03-30T03:53:38+00:00 Chunqiu Li [email protected] Yuhan Zhou [email protected] Kun Huang [email protected]

The open government movements facilitate the transparency and sharing of government data. Provenance of open government data (OGD) describes source information related to who, how, where, when and other information over the lifecycle of OGD. Provenance of OGD should be tracked for high-quality and trustworthiness of OGD. Currently, OGD portals provide provenance through general metadata elements, such as creator, provider, creation date, publication date, and issued time. In China, local OGD portals define their own metadata profiles. However, these metadata elements in different OGD portals vary and there is no specific and well-defined provenance description scheme for OGD in China. Therefore, this paper is purposed to survey the current provision situation of provenance metadata elements in 42 China OGD portals and conduct the unification of provenance elements based on the survey results. This research is meaningful to facilitate formal description of provenance information in China OGD portals.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4243 2020-03-30T03:53:41+00:00 Yuka Egusa [email protected] Masao Takaku [email protected]

Japanese Textbook Linked Open Data (LOD) is an LOD dataset of bibliographic and educational information that has been organized over the years by the Library of Education at the National Institute for Educational Policy Research. The dataset consists of bibliographic information for 7,548 volumes of Japanese textbooks authorized from 1992 to 2017, and provides 219,018 Resource Description Framework (RDF) triples as of April 2019. This paper reports a case study of the development and publication of Japanese Textbook LOD.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4245 2020-03-30T03:53:45+00:00 Kazufumi Fukuda [email protected]

Video games have a short but rich history. Therefore, they have been gaining popularity as cultural heritage and research material. Several studies have analyzed the metadata and cataloging of video games. However, the research on its implementation is limited. Hence, we investigate the practice of cataloging video games at the Center for Game Studies, Ritsumeikan University (RCGS) in this study and examine the effectiveness of data utilization from Wikidata to construct an authority of works for video games. We accomplished this by associating the distribution package with Wikipedia and Wikidata. Consequently, records of works covering approximately half of the video games were created. However, the problem of uniformity of granularity and completeness was found in these data based on Wikipedia's culture and policies. Thus, data enrichment is difficult owing to the non-uniform granularity of bibliography with Wikidata. In contrast, the cost of data creation is effective. Furthermore, the external link ID is highly effective in enhancing the value of catalog as Linked Open Data (LOD). It is also evident that using published authority data is useful for data integration but Wikidata has some problems with its features. There is a need to consider the function and purpose of the catalog as linked data instead of a separate catalog. Thus, the adaptation of Wikidata for catalogs needs to be designed accordingly as linked data.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4247 2020-03-30T03:53:47+00:00 Sittisak Rungcharoensuksri [email protected] Wachiraporn Klungthanaboon [email protected]

To advocate open science and knowledge development, the Princess Maha Chakri Sirindhorn Anthropology Centre (SAC) recognizes the significance of collocation of scattered research outputs funded by the SAC for the public use. The SAC Research Database was developed and launched in March 2019 to provide free access to digital full-text research outputs under the creative common license (CC-BY-NC-ND 3.0). The ease of use and interoperability are taken into consideration when selecting the metadata scheme. The Dublin Core Metadata Element Set was chosen with some modified elements for the SAC Research Database. This paper presents the lesson learned from the development of this database.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4249 2020-03-30T03:53:50+00:00 Sebastian Lawrenz [email protected] Priyanka Sharma [email protected] Andreas Rausch [email protected]

With the shift to a data-driven society, data trading takes on a completely new significance. In the future, data marketplaces will be equivalent to other electronic commerce platforms such as Amazon or eBay. Just like any other online marketplace a data marketplace is a platform that enables convenient buying and selling of products--in this case "data". Metadata is data about data. Metadata plays a significant role in data trading, as it serves as an orientation for all involved parties in the data marketplace. A seller who wants to sell their data on the marketplace needs metadata to describe the selling offer, and the buyer can use it to search and identify relevant data. This paper outlines the significance of metadata in data trading on a data marketplace and classifies the levels of metadata. Moreover, in data trading metadata has also a significant role in determining the data quality. In this paper we also discuss the role of metadata in terms of data quality.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4251 2020-03-30T03:53:54+00:00 Kathy Choi [email protected] Haliza Jailani [email protected]

As part of Singapore's smart nation initiative, Moments of Life (MOL) was created as a whole of government mobile application to serve citizens' needs better through technology. A strategic project under the Smart Nation and Digital Government Office, National Library Board Singapore (NLB) was invited to develop a metadata framework for the app. From parenting to active ageing and end of life needs, the app consolidates government services for important milestones in a citizen's life. E-government metadata standards and initiatives based on Dublin Core (DC) started as early as 2000s. The European Committee for Standardization CEN/ISSS has provided a methodology in developing an e-government metadata element set. This paper starts with a review of DC e-government metadata standards and initiatives, and the latest application of metadata for digital government. Thereafter, it presents how NLB applied its methodology to develop an application profile and a faceted taxonomy. As a multi-cultural society with 4 official languages, a common vocabulary is important for data to be shared, re-used and searched across agencies by citizens. This will not only help citizens to search for information more effectively, but it will ready MOL content for structured data implementation for Internet discovery. The challenges faced, features of the mobile app such as profiling and filtering, global search and faceted navigation are effectively achieved with the use of Dublin Core as the metadata schema for supporting MOL.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4253 2020-03-30T03:53:58+00:00 Nishad Thalhath [email protected] Mitsuharu Nagamori [email protected] Tetsuo Sakaguchi [email protected] Shigeo Sugimoto [email protected]

Metadata Application Profiles are the elementary blueprints of any Metadata Instance. Efforts like the Singapore Framework for Dublin Core Application Profiles define the framework for designing metadata application profiles to ensure interoperability and reusability. However, the number of publicly accessible, especially machine actionable application profiles are significantly lower. Domain experts find it difficult to create application profiles, considering the technical aspects, costs and disproportionate incentives. Lack of easy-to-use tools for Metadata Application Profile creation is also a reason for lack of larger reach. This paper proposes Yet Another Metadata Application Profile (YAMA) as a user-friendly interoperable preprocessor for creating, maintaining and publishing Metadata Application Profiles. YAMA helps to produce various formats and standards to express the Metadata Application Profiles, changelogs, and different versions, with an expectation of simplifying Metadata Application Profile creation process for domain experts. YAMA includes an integrated syntax for recording application profiles as well as changes between different versions. A proof of concept toolkit, demonstrating the capabilities of YAMA is also being developed. YAMA boasts a human readable yet machine actionable syntax and format, which is seamlessly adaptable to modern version control workflows and expandable for any specific requirements.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4255 2020-03-30T03:54:02+00:00 Mairelys Lemus-Rojas [email protected] You Young Lee [email protected]

Wikidata is an open knowledge base that stores structured linked data. It contains over 58 million items ("Wikidata:Statistics," n.d.), but its data reveal a noticeable and prevalent gender disparity. In an effort to contribute to the growth and enhancement of women entries in Wikidata, the Indiana University-Purdue University Indianapolis (IUPUI) University Library and the University of Ottawa Library collaborated to embark on pilot projects that broaden the representation and enhance the visibility of women in STEM (Science, Technology, Engineering, and Mathematics). In this article, we share the methods used at both institutions for collecting faculty data, batch ingesting data using external tools, as well as mapping archival data to existing Wikidata properties. We also discuss the challenges faced during the pilot projects.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4221 2020-03-30T03:53:08+00:00

Preliminary pages including Preface and Program Committee listing.

2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4257 2020-03-30T03:54:05+00:00 Marc Stoeckle [email protected] Ingrid Reiche [email protected] 2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications https://dcpapers-past.dublincore.org/pubs/article/view/4259 2020-03-30T03:54:07+00:00 Magnus Pfeffer [email protected] Martin Roth [email protected] 2020-03-30T00:00:00+00:00 Copyright (c) 2020 International Conference on Dublin Core and Metadata Applications