Proceedings of the International Conference on Dublin Core and Metadata Applications (DCMI)
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Dublin Core Metadata for Research Data - Lessons Learned in a Real-World Scenario with datorium
As a continuation of our work in the datorium project, we provide a service for autonomous documentation and upload of research data. In this paper we discuss and share our experience of developing such a service by using Dublin Core Metadata. Even small and simple, DC Metadata is an appropriate standard to be taken as basic metadata, for instance in the repository systems. The required elements for describing research data are mostly complex, in particular the acquired information about the data, including survey methods, survey periods, or number of variables. DC Metadata cannot cover all elements needed in the research data repository. However, we show that with some extended elements and front-end based manipulations the DC Metadata can be applied usefully in this real-world scenario and support complex description without overcoming the "simplicity" of the standard
Requirements on RDF Constraint Formulation and Validation
For many RDF applications, the formulation of constraints and the automatic validation of data according to these constraints is a much sought-after feature. In 2013, the W3C invited experts from industry, government and academia to the RDF Validation Workshop, where first use cases have been presented and discussed. In collaboration with the W3C, a working group on RDF Application Profiles (RDFAP) is currently established in the Dublin Core Metadata Initiative that follows up on this workshop and addresses among others RDF constraint formulation and validation. In this paper, we present a database of requirements obtained from various sources, including the use cases presented at the workshop as well as in the RDF-AP WG. The database, which is openly available and extensible, is used to evaluate and compare several existing approaches for constraint formulation and validation. We present a classification and analysis of the requirements, show that none of the approaches satisfy all requirements and aim at laying the ground for future work, as well as fostering discussions how to close existing gaps
Describing Theses and Dissertations Using Schema.org
This report discusses the development of an extension vocabulary for describing theses and dissertations, using Schema.org as a foundation. Instance data from the Montana State University ScholarWorks institutional repository was used to help drive and test the creation of the extension vocabulary. Once the vocabulary was developed, we used it to convert the entire ScholarWorks data sample into RDF. We then serialized a set of three RDF descriptions as RDFa and posted them online to gather statistics from Google Webmaster Tools. The study successfully demonstrated how a data model consisting of primarily Schema.org terms and supplemented with a list of granular/domain specific terms can be used to describe theses and dissertations in detail
Undressing Fashion Metadata: Ryerson University Fashion Research Collection
The purpose of this poster is to provide insight into the processes involved in making a unique fashion research and teaching collection, discoverable in an online environment at Ryerson University. The poster will highlight effective metadata standards and elements, cross-domain metadata uses, metadata mapping and implementation. The key goals of this digital collection are to promote research, teaching and learning at Ryerson University, and to connect with a broader community by building scholarly, online exhibitions. Once the digital collection is finalized, it will be used as a pedagogical tool and it will inspire fashion students and scholars to undertake research into Canada's fashion history since the collection includes many examples from Canadian designers and retailers in addition to international designers
Metadata for Research Data: Current Practices and Trends
Currently, there are a number of research data service providers that allow deposit of research data or gather metadata for research data housed elsewhere. Examples include Datacite (http://www.datacite.org/), Dataverse Network (http://thedata.org/), Dryad (http://datadryad.org/), and FigShare (http://figshare.com/). These services make use of a broad range of metadata practices and elements. The objective of this study is to examine the metadata standards and formats used by a select number of research data services to address the following specific research questions: 1) What is the number and nature of metadata elements available? 2) Do any of the services provide research data specific metadata elements in addition to common metadata elements? 3) Do the research data management services adhere to widely recognized metadata, interoperability and preservation standards? 4) What research data repositories benefit from and promote controlled vocabularies for subject description and access? 5) Is there support for unique identifiers (e.g., DOIs)? 6) What kind of metadata assistance (documentation, etc.) is provided? 7) What metadata elements are common and different across these services? The results of this study will contribute to a better understanding of the development and application of metadata in research data services as well as to the development of an interoperable research data environment
Towards Description Set Profiles for RDF using SPARQL as Intermediate Language
Description Set Profiles (DSP) are used to formulate constraints on valid data within a Dublin Core Application Profile. For RDF, SPARQL is generally seen as the method of choice to validate data according to certain constraints, although it is not ideal for their formulation. In contrast, DSPs are comparatively easy to understand, but lack an implementation to validate RDF data. In this paper, we use SPIN as basic validation framework and present a general approach how domain specific constraint languages like DSP can be executed on RDF data using SPARQL as an intermediate language
Linked Data Mapping Cultures: An Evaluation of Metadata Usage and Distribution in a Linked Data Environment
In this paper we present an analysis of metadata mappings from different providers to a Linked Data format and model in the domain of digitized manuscripts. The DM2E model is based on Linked Open Data principles and was developed for the purpose of integrating metadata records to Europeana. The paper describes the differences between individual data providers and their respective metadata mapping cultures. Explanations on how the providers map the metadata from different institutions, different domains and different metadata formats are provided and supported by visualizations. The analysis of the mappings serves to evaluate the DM2E model and provides strategic insight for improving both mapping processes and the model itself
The 1:1 Principle in the Age of Linked Data
This paper explores the origins of the Dublin Core 1:1 Principle within DCMI documentation. It finds that the need for the 1:1 Principle emerged from prior work within the cultural heritage community responsible for describing reproductions and surrogate resources within traditional cataloging environments. As the solutions to these problems encountered new ways to model semantic data, tensions arose within DCMI community. This paper aims to fill the gaps in our understanding of the 1:1 Principle by outlining the conceptual foundations that led to its inclusion in DCMI documentation, how the Principle has been (mis)understood in practice, how violations of the Principle have been operationalized, and how the fundamental issues raised by the Principle continue to challenge us today. This discussion situates the 1:1 Principle within larger discussions about cataloging practice and semantic knowledge representations
Dublin Core to Ensure Interoperability between Models Generated by Tools of Species Distribution Modeling
This poster presents the use of the Dublin Core for tools that make species distribution modeling. As a case study, this poster proposes the use of the Dublin Core for there to be a connection between the models generated by tools of species distribution, contributing to the area for biodiversity informatics
Building Bridges to the Future of a Distributed Network: From DiRT Categories to TaDiRAH, a Methods Taxonomy for Digital Humanities
Efforts to establish centralized hubs of information relevant to digital humanities (DH) have proven unsustainable over the long term. Comprehensive hubs are currently being re-designed with a smaller scope and focused curation. However, this smaller scope comes with the risk of decontextualization -- a digital humanities project is best understood through the intersection of its subject matter, methodologies and applications, not all of which are captured by any single site. This poster will trace the development and application of 'TaDiRAH' a shared taxonomy of digital humanities research activities and objects, created for the purpose of bridging the divide between related digital humanities hubs