Proceedings of the International Conference on Dublin Core and Metadata Applications (DCMI)
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The Significant Role of Metadata for Data Marketplaces
No full textWith 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
Toward a Metadata Activity Matrix: Conceptualizing and Grounding the Research Lifecycle and Metadata Connections
No full textThe 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
Capturing Research Output in the Field of Anthropology: Metadata Design and Lessons Learned
No full textTo 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
Semantic Metadata as Meaning Making: Examining #hashtags and Collection Level Metadata
No full textMemory 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
Using Wikidata to Provide Visibility to Women in STEM
No full textWikidata 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
Using Wikidata as Work Authority for Video Games
No full textVideo 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
An Approach to Enabling RDF Data in Querying to Invoke REST API for Complex Calculating
No full textRDF is short in calculating, especially complex calculating. SPARQL Inferencing Notation (SPIN) has been proposed with a specific capability of returning a value by executing external JavaScript file that in partly performs complex calculating, however it is still far away from accomplishing many practices. This paper investigates SPIN's capability of executing JavaScript, namely SPINx framework, presents a method of equipping RDF data with a new capability of invoking REST API, by which a user who is querying can obtain returned value by invoking the REST API performing complex calculating ,and then the value is semantically annotated for further use .Calculation of lift coefficient of airfoil is taken as a use case ,in which with a given attack angle as input a desired returned value is obtained by invoking a particular REST API while querying the RDF data. Through this use case, it is explicit that RDF data invoking REST API for complex calculating is feasible and profound in both real practice and semantic web
Research data management in the field of Ecology: an overview
No full textThe diversity of research topics and resulting datasets in the field of Ecology has grown in line with developments in research data management. Based on a meta-analysis performed on 93 scientific references, this paper presents a comprehensive overview of the use of metadata models in the ecology domain through time. Overall, 40 metadata models were found to be either referred or used by the biodiversity community from 1997 to 2018. In the same period, 50 different initiatives in ecology and biodiversity were conceptualized and implemented to promote effective data sharing in the community. A relevant concern that stems from this analysis is the need to establish simple methods to promote data interoperability and reuse, so far limited by the production of metadata according to different standards. With this study, we also highlight challenges and perspectives in research data management in the domain of Ecology towards best practice guidelines
Validation of a metadata application profile domain model
No full textThe development of Metadata Application Profiles is done in several phases. According to the Me4MAP method, one of this phases is the creation of the domain model. This paper reports the validation process of a domain model developed under the project POSTDATA - Poetry Standardization and Linked Open Data. The development of the domain model ran with two steps of construction and two of validation. The validation steps drew on the participation of specialists in European poetry and the use of real resources. On the first validation we used tables with information about resources related properties and for which the experts had to fill certain fields like, for examples, the values. The second validation used a XML framework to control the input of values in the model. The validation process allowed us to find and fix flaws in the domain model that would otherwise have been passed to the Description Set Profile and possibly would only be found after implementing the application profile in a real case