Early care and education integrated data systems: A Key Topic Resource List

Research Connections conducted a comprehensive search of its collection for resources focused on integrated data systems in early childhood education. Key words used in the search were "integrated data," "coordinated data," "linked data," and "data systems." This Key Topic Resource List includes an overview and listing of selected resources from the literature. Resources of various types--including reports and papers, fact sheets and briefs, summaries, and reviews--are included. Selection criteria focused relatively recent resources (from the years 2000-2014) that addressed issues or provided examples of efforts to create capacity to link administrative data related to young children and the services they receive at the individual (child, family, program or setting) level on an ongoing basis. The development of integrated data systems is still in its infancy, and the research on integrated early childhood data systems is limited and largely descriptive of state efforts to create these data systems. Based on the search results, resources are grouped into the following categories: Goals and rationale for the development of integrated early childhood data systems; Challenges, guidance, and tools for creating integrated early childhood data systems; State and local examples of integrated data systems; Inventories of state and local data

MoPark Initiative, Metadata Options Appraisal (Phase I)

Examines – and makes recommendations on - the needs of the Loch Lomond and Trossachs National Park as regards the metadata, metadata standards, and metadata management required for the competent handling of digital materials both now and in the future. Proposes an iterative approach to determining metadata requirements, working within a METS-based framework

Characterizing the Landscape of Musical Data on the Web: State of the Art and Challenges

Musical data can be analysed, combined, transformed and exploited for diverse purposes. However, despite the proliferation of digital libraries and repositories for music, infrastructures and tools, such uses of musical data remain scarce. As an initial step to help fill this gap, we present a survey of the landscape of musical data on the Web, available as a Linked Open Dataset: the musoW dataset of catalogued musical resources. We present the dataset and the methodology and criteria for its creation and assessment. We map the identified dimensions and parameters to existing Linked Data vocabularies, present insights gained from SPARQL queries, and identify significant relations between resource features. We present a thematic analysis of the original research questions associated with surveyed resources and identify the extent to which the collected resources are Linked Data-ready

Expressing the tacit knowledge of a digital library system as linked data

Library organizations have enthusiastically undertaken semantic web initiatives and in particular the data publishing as linked data. Nevertheless, different surveys report the experimental nature of initiatives and the consumer difficulty in re-using data. These barriers are a hindrance for using linked datasets, as an infrastructure that enhances the library and related information services. This paper presents an approach for encoding, as a Linked Vocabulary, the "tacit" knowledge of the information system that manages the data source. The objective is the improvement of the interpretation process of the linked data meaning of published datasets. We analyzed a digital library system, as a case study, for prototyping the "semantic data management" method, where data and its knowledge are natively managed, taking into account the linked data pillars. The ultimate objective of the semantic data management is to curate the correct consumers' interpretation of data, and to facilitate the proper re-use. The prototype defines the ontological entities representing the knowledge, of the digital library system, that is not stored in the data source, nor in the existing ontologies related to the system's semantics. Thus we present the local ontology and its matching with existing ontologies, Preservation Metadata Implementation Strategies (PREMIS) and Metadata Objects Description Schema (MODS), and we discuss linked data triples prototyped from the legacy relational database, by using the local ontology. We show how the semantic data management, can deal with the inconsistency of system data, and we conclude that a specific change in the system developer mindset, it is necessary for extracting and "codifying" the tacit knowledge, which is necessary to improve the data interpretation process

Creating a Linked Data-Friendly Metadata Application Profile for Archival Description

We provide an overview of efforts to apply and extend Schema.org for archives and archival description. The authors see the application of Schema.org and extensions as a low barrier means to publish easily consumable linked data about archival resources, institutions that hold them, and contextual entities such as people and organizations responsible for their creation.Comment: 11 pages, 3 figures; full poster available from http://dcevents.dublincore.org/IntConf/dc-2017/paper/view/50

Applying Semantic Web Technologies to Medieval Manuscript Research

Medieval manuscript research is a complex, fragmented, multilingual field of knowledge, which is difficult to navigate, analyse and exploit. Though printed sources are still of great importance and value to researchers, there are now many services on the Web, some commercial and many in the public domain. At present, these services have to be consulted separately and individually. They employ a range of different descriptive standards and vocabularies, and use a variety of technologies to make their information available on the Web. This chapter proposes a new approach to organizing the international collaborative infrastructure for interlinking knowledge and research about medieval European manuscripts, based on technologies associated with the Semantic Web and the Linked Data movement. This collaborative infrastructure will be an open space on the Web where information about medieval manuscripts can be shared, stored, exchanged and updated for research purposes. It will be possible to ask large-scale research questions across the virtual global manuscript collection, in a quicker and more effective way than has ever been feasible in the past. The proposed infrastructure will focus on building links between data and will provide the basis for new kinds of services which exploit these data. It will not aim to impose a single metadata standard on existing manuscript services, but will build on existing databases and vocabularies. The article describes the architecture, services and data which will comprise this infrastructure, and discusses strategies for making th challenging and exciting goal a reality

Describing records, people, organizations and functions: the Empowering the User project's flexible archival catalogue

No abstract available

Beyond the Tutorial: Complex Content Models in Fedora 3

4th International Conference on Open RepositoriesThis presentation was part of the session : Fedora User Group PresentationsDate: 2009-05-21 08:30 AM – 10:00 AMThe University of Wisconsin Digital Collections Center recently began a pilot project to create a digital collection of learning objects stored in a Fedora 3.1 repository. This pilot project is the proof-of-concept of many ideas and discussions, extending back for over five years, concerning the problem of storing, searching, and retrieving heterogeneous objects and object types, linked together in complex relations, in a way that is loosely coupled with front-end user display applications. During the course of this presentation, we will describe the issues we've confronted implementing increasingly rich digital collections over the past decade (including some real-life examples of complex digital objects), models we have developed with to resolve many of those issues, and how we have started implementing those models in Fedora 3.1, using the new Content Model functionality