Designing metadata schema for a human library: a prototype

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.

Metadata in the Digital Library

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.

METADATA, ARSIP, DAN INFORMASI: SUMBANGAN STANDAR- STANDAR KEARSIPAN TERHADAP KERANGKA DAN MODEL KERJASAMA KEILMUAN BIDANG-BIDANG SERUMPUN

Since the end of XIX century when for the very first time the archival principles of arrangement and description were outlined until ICA have published their first international standard commonly known as ISAD-G which defines its 26 elements of archival description and followed afterwards by series of archival standards (ISAAR- CPF, ISDIAH, and ISDF) in 1990’s and 2000’s. These elements of description are similar to metadata elements. As the metadata elements of Dublin Core, for example, that have been released in the mid of 1990’s and then later on was adopted by ISO 15836-1:2017 and ISO 15836-2:2019. This article describes the similarities among both elements, the elements of description and the elements of metadata, including the ICA’s latest archival standard (RiC) and by using paradigm of integration-interconnection and three model of discplinary cooperation (multidisciplinary, interdisciplinary, and transdisciplinary) according to Amin Abdullah. Besides reading closely towards the literary sources including the published standards released by ICA and ISO, the writer also does the same things towards various archival standards published by several national archives. These are some of the contribution of archival science and archival standards in order to open the chance of having equal cooperation and seeing the possibilities of having cooperation among its three stages.

Gaining Expertise in Creating Metadata: An Exploratory Study

<p>Increasingly, people with little experience of cataloguing, indexing or abstracting are using metadata schemas like the Dublin Core Metadata Elements Set (DC) and the New Zealand Government Locator Service (NZGLS) to describe resources. There is currently little information available about how novices approach the process of metadata creation, and what personal (cognitive) and other factors (particularly organisational) are at work. In this exploratory study, I spoke with novice metadata creators about their skills and knowledge when they began to create metadata and, six weeks later, after they had created records as part of their normal work duties. I asked novices to identify factors that impacted positively or negatively upon their progress, and also sought the opinions of metadata experts who were training and supervising novice creators. The study identified the skills and knowledge that are required to create metadata, and investigated the techniques used to develop expertise. The tools used by metadata creators were evaluated, and the effects of organisational culture were also explored. The insights of the expert and novice participants provide guidance as to how managers can facilitate the production of good quality metadata through developing effective staff training and quality assurance, providing more usable online tools and documentation, and fostering more supportive organisational cultures.</p>

Gaining Expertise in Creating Metadata: An Exploratory Study

<p>Increasingly, people with little experience of cataloguing, indexing or abstracting are using metadata schemas like the Dublin Core Metadata Elements Set (DC) and the New Zealand Government Locator Service (NZGLS) to describe resources. There is currently little information available about how novices approach the process of metadata creation, and what personal (cognitive) and other factors (particularly organisational) are at work. In this exploratory study, I spoke with novice metadata creators about their skills and knowledge when they began to create metadata and, six weeks later, after they had created records as part of their normal work duties. I asked novices to identify factors that impacted positively or negatively upon their progress, and also sought the opinions of metadata experts who were training and supervising novice creators. The study identified the skills and knowledge that are required to create metadata, and investigated the techniques used to develop expertise. The tools used by metadata creators were evaluated, and the effects of organisational culture were also explored. The insights of the expert and novice participants provide guidance as to how managers can facilitate the production of good quality metadata through developing effective staff training and quality assurance, providing more usable online tools and documentation, and fostering more supportive organisational cultures.</p>

Content standards for geospatial metadata and their use

*-2mm Among the many GIS standards that provide interoperability of (geo)spatial data and related web services, we can identify a limited but important group of standards, intended to catalog spatial data sets and services. Many of currently used standards are based on international ISO 19115 series and their national profiles. Among them are two Russian national standards developed by the Technical Committee (TC) 394 Geographic information/Geomatics of the Federal Agency on Technical Regulating and Metrology (Rosstandart): the GOST R 57668-2017 “Spatial data. Metadata. Part 1. Fundamentals” and the GOST R 57656-2017 “Spatial data. Metadata. Part 2. Extensions for imagery and gridded data”. The analysis of Russian, foreign and international geoportals with metadata editing, validation and publishing functions has been carried out, including using ISO 19115, FGDC-STD-001-001-1998, DIF, Dublin Core and open source software GeoNode, GeoNetwork, GeoServer, etc. The results of the analysis can be useful in selecting effective spatial metadata management systems in the scientific geoportals.

On interoperability of metadata within RNPLS&T’s Single Open Information Archive

Russian National Public Library for Science and Technology has been developing the Single Open Information Archive (UOIA) to merge all digital full-text resources created or acquired by the Library. The authors examine the issues of interoperability when exchanging metadata between UOIA built on library automation software and open archives using OAI-PMH technology for metadata acquisition. Interoperability in information exchange between different ALIS is provided, for example, through applying SRU/SRW protocol and metadata scheme, while metadata exchange between OA repositories is provided mainly within Dublin Core (DC) scheme. ALIS – OA metadata transmission with transformation into DC results in information loss and prevents unambiguous reverse transformation.For a long time, DSpace has been the most popular software for open digital repositories. This product enables OAI-PMH metadata acquisition in DC and Qualified DC (QDC) formats, and supports Object Reuse and Exchange (ORE) standard, which enables to describe aggregated resources. ORE in DSpace enables to collect not only metadata but also connected files and to receive other connected data provided by importing source. DSpace uses rather simple ORE format based on Atom XML that allows binding several files of different functionality with RDF-triplets.The OAI-PMH software connector is designed for RNPLS&T SOIA and enables to present metadata in DC, QDC, MARC21, and ORE formats, which supports interoperability in information exchange with OA repositories with DSpace software. Beside metadata transmission, transmission of various data types is possible, e. g. document text or license information. Further development is to expand format structure to represent associated data, in particular using RDF.

Plataforma digital para difusão dos acervos de arquitetura e design da FAUUSP

This article presents the collections of the Faculty of Architecture and Urbanism of the University of São Paulo and describes the results obtained from the implementation of an online interface for FAUUSP collections, developed with the Omeka S platform for sharing and collaborating with organized and structured data and information. As part of the discussion, it summarizes the historical moment in which the importance of the design and architecture archives, and collections is discussed, raising the history of the institution’s catalogue and covering issues involving their online dissemination. A special topic of metadata, specifically Dublin Core, the standard adopted by FAUUSP, is also presented. Results are commented and perspectives for the continuity of the platform are also discussed.

Подготовка метаданных публикаций для пакетного импорта в институциональный репозиторий на платформе DSpace

Внесение метаданных о научных публикациях в институциональный репозиторий на платформе DSpace вручную занимает значительное время, даже когда данные представляют собой готовые выгрузки из реферативных баз Scopus и Web of Science, и уже имеют формат, близкий к Dublin Core. Для решения задачи преобразования и объединения данных, а также интеграции в итоговый набор метаданных оригинал-макетов публикаций с целью их пакетного импорта в университетский репозиторий, были разработаны алгоритмы использования стандартных офисных приложений и бесплатного ПО, а также созданы программные скрипты, которые позволили автоматизировать большинство рутинных операций. Использование этих алгоритмов и созданного ПО показало двадцатидевятикратное сокращение временных затрат в сравнении с ручным вводом метаданных в DSpace.

Do Institutional Repository Deposit Guidelines Deter Data Discovery?

Objective – This study uses quantitative methods to determine if the metadata requirements of institutional repositories (IRs) promote data discovery. This question is addressed through an exploration of an international sample of university IRs, including an analysis of the required metadata elements for data deposit, with a particular focus on how these metadata support discovery of research data objects. Methods – The researchers worked with an international universe of 243 IRs. A codebook of 10 variables was developed to enable analysis of the eventual randomly derived sample of 40 institutions. Results – The analysis of our sample IRs revealed that most had metadata standards that offered weak support for data discovery—an unsurprising revelation in view of the fact that university IRs are meant to accommodate deposit and storage of all types of scholarly outputs, only a small percentage of which are research data objects. Most IRs seem to have adopted metadata standards based on the Dublin Core schema, while none of the IRs in our sample used the Data Documentation Initiative metadata that is better suited for deposit and discovery of research datasets. Conclusion – The study demonstrates that while data deposit can be accommodated by the existing metadata requirements of multi-purpose IRs, their metadata practices do little to prioritize data deposit or to promote data discovery. Evidence indicates that data discovery will benefit from additional metadata elements.