metadata standards
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2022 ◽  
Vol 29 (1) ◽  
pp. 91-101
Author(s):  
Gustavo Caetano Borges ◽  
Julio Cesar Dos Reis ◽  
Claudia Bauzer Medeiros

Scientific research in all fields has advanced in complexity and in the amount of data generated. The heterogeneity of data repositories, data meaning and their metadata standards makes this problem even more significant. In spite of several proposals to find and retrieve research data from public repositories, there is still need for more comprehensive retrieval solutions. In this article, we specify and develop a mechanism to search for scientific data that takes advantage of metadata records and semantic methods. We present the conception of our architecture and how we have implemented it in a use case in the agriculture domain.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anupta Jana ◽  
Rosalien Rout

Purpose In the absence of a working model for describing, managing and archiving the human library resources, this study aims to attempt a practical approach that will provide all the necessary information to the library users, library professionals and researchers. Design/methodology/approach Initially, different metadata standards, archival projects and attributes of the human books were reviewed to identify appropriate metadata standards that accurately describe the resources of the human library. A free and open-source software; DSpace was considered for implementing newly defined metadata schema in this study. Thereafter, a set of new subject entries was incorporated to standardize the contents of the human library. Findings This study finds that the widely used metadata schema – Dublin Core (DC) is not appropriate to describe the contents of the human book. It shows that selected metadata elements from the types – person and event of schema.org can be used for describing, organizing and archiving the resources of the human library. It further highlights that existing subject entries are not sufficient to standardize the contents of these types of resources. Research limitations/implications Two metadata fields in DSpace are strongly recommended by the DSpace community to consider in the input-forms.xml file, that is why the study could not completely omit DC metadata elements in describing human books. Originality/value The study provides a roadmap to the library professionals on the inclusion of new metadata schemas in describing the uniquely featured resources of the library.


2022 ◽  
Author(s):  
Mathias Hammer ◽  
Maximiliaan Huisman ◽  
Alessandro Rigano ◽  
Ulrike Boehm ◽  
James J. Chambers ◽  
...  

Author(s):  
Tanmayee Parbat

Abstract: Everything stored on the cloud could potentially be a knowledge source used for e-business. Given learners' profiles, desires and feedback on what they have already learned, a new form of personalized e-business emerges, namely Cloud collaborative E-business (CeL). CeL should be able to choose from structured to totally unstructured business material but needs to make them useful for each individual. Existing metadata standards cannot facilitate composition of personalized business paths as a series of business objects. In this paper, we present the structure of CeL Business Objects (CeLLOs), which include an additional set of metadata suitable for each phase of CeL development. Keywords: Cloud collaborative E-business, computing for Education, Electronic Business


2021 ◽  
Vol 45 (3-4) ◽  
Author(s):  
Gilbert Mushi

The emergence of data-driven research and demands for the establishment of Research Data Management (RDM) has created interest in academic institutions and research organizations globally. Some of the libraries especially in developed countries have started offering RDM services to their communities. Although lagging behind, some academic libraries in developing countries are at the stage of planning or implementing the service. However, the level of RDM awareness is very low among researchers, librarians and other data practitioners. The objective of this paper is to present available open resources for different data practitioners particularly researchers and librarians. It includes training resources for both researchers and librarians, Data Management Plan (DMP) tool for researchers; data repositories available for researchers to freely archive and share their research data to the local and international communities.   A case study with a survey was conducted at the University of Dodoma to identify relevant RDM services so that librarians could assist researchers to make their data accessible to the local and international community. The study findings revealed a low level of RDM awareness among researchers and librarians. Over 50% of the respondent indicated their perceived knowledge as poor in the following RDM knowledge areas; DMP, data repository, long term digital preservation, funders RDM mandates, metadata standards describing data and general awareness of RDM. Therefore, this paper presents available open resources for different data practitioners to improve RDM knowledge and boost the confidence of academic and research libraries in establishing the service.


2021 ◽  
Author(s):  
Richard Gartner

The range of metadata needed to run a digital library and preserve its collections in the long term is much more extensive and complicated than anything in its traditional counterpart. It includes the same 'descriptive' information which guides users to the resources they require but must supplement this with comprehensive 'administrative' metadata: this encompasses technical details of the files that make up its collections, the documentation of complex intellectual property rights and the extensive set needed to support its preservation in the long-term. To accommodate all of this requires the use of multiple metadata standards, all of which have to be brought together into a single integrated whole.<br><br><i>Metadata in the Digital Library </i>is a complete guide to building a digital library metadata strategy from scratch, using established metadata standards bound together by the markup language XML. The book introduces the reader to the theory of metadata and shows how it can be applied in practice. It lays out the basic principles that should underlie any metadata strategy, including its relation to such fundamentals as the digital curation lifecycle, and demonstrates how they should be put into effect. It introduces the XML language and the key standards for each type of metadata, including Dublin Core and MODS for descriptive metadata and PREMIS for its administrative and preservation counterpart. Finally, the book shows how these can all be integrated using the packaging standard METS. Two case studies from the Warburg Institute in London show how the strategy can be implemented in a working environment.<br><br>The strategy laid out in this book will ensure that a digital library's metadata will support all of its operations, be fully interoperable with others and enable its long-term preservation. It assumes no prior knowledge of metadata, XML or any of the standards that it covers. It provides both an introduction to best practices in digital library metadata and a manual for their practical implementation.


2021 ◽  
Vol 10 (12) ◽  
pp. 825
Author(s):  
Jarbas Nunes Vidal-Filho ◽  
Valéria Cesário Times ◽  
Jugurta Lisboa-Filho ◽  
Chiara Renso

The term Semantic Trajectories of Moving Objects (STMO) corresponds to a sequence of spatial-temporal points with associated semantic information (for example, annotations about locations visited by the user or types of transportation used). However, the growth of Big Data generated by users, such as data produced by social networks or collected by an electronic equipment with embedded sensors, causes the STMO to require services and standards for enabling data documentation and ensuring the quality of STMOs. Spatial Data Infrastructures (SDI), on the other hand, provide a shared interoperable and integrated environment for data documentation. The main challenge is how to lead traditional SDIs to evolve to an STMO document due to the lack of specific metadata standards and services for semantic annotation. This paper presents a new concept of SDI for STMO, named SDI4Trajectory, which supports the documentation of different types of STMO—holistic trajectories, for example. The SDI4Trajectory allows us to propose semi-automatic and manual semantic enrichment processes, which are efficient in supporting semantic annotations and STMO documentation as well. These processes are hardly found in traditional SDIs and have been developed through Web and semantic micro-services. To validate the SDI4Trajectory, we used a dataset collected by voluntary users through the MyTracks application for the following purposes: (i) comparing the semi-automatic and manual semantic enrichment processes in the SDI4Trajectory; (ii) investigating the viability of the documentation processes carried out by the SDI4Trajectory, which was able to document all the collected trajectories.


2021 ◽  
Vol 18 (12) ◽  
pp. 1427-1440 ◽  
Author(s):  
Mathias Hammer ◽  
Maximiliaan Huisman ◽  
Alessandro Rigano ◽  
Ulrike Boehm ◽  
James J. Chambers ◽  
...  

Informatics ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 82
Author(s):  
Kanyarat Kwiecien ◽  
Wirapong Chansanam ◽  
Thepchai Supnithi ◽  
Jaturong Chitiyaphol ◽  
Kulthida Tuamsuk

The aim of this study was to analyze the content, context, and structure of folktales from the Mekong River Basin, and to develop a metadata schema for data description and folktale storage. The research was conducted using the MAAT metadata lifecycle model, which comprises the following four steps: (1) conducting an information content analysis; (2) creating metadata requirements, (3) developing a metadata schema; and (4) carrying out a metadata service and evaluation. The folktale analysis, based on Anne Gilliland’s information object analysis, revealed the following: (1) the folktale content consists of types of tales, and the morals, beliefs, and parts they incorporate; (2) the folktale context consists of and names distributors, characters, scenes, magical objects, ethnic groups, languages, countries, relationships between tales, and their sources; (3) the folktale structure includes verbal, non-verbal, and mixed forms. The metadata schema development adopted the functional requirements for bibliographic records concepts and existing metadata standards, resulting in metadata with the following 18 elements: identifier, title, creator, contributor, description, relation, language, medium, sources, date, rights, keyword, character, moral, ethnic group, motif, place, and country. The metadata elements were described using the categories: name, definition, format, example, and note.


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