Crosswalk among Prominent Open Research Data Repositories

Open Access is a synergised global movement using Internet to provide equal access to knowledge that once hid behind the subscription paywalls. Many new models for scholarly communication have emerged in recent past. One among them is institutional or digital repositories which archive the scholarly content of an organization. While the concept of Open Access opened new arena for institutional or digital repositories in the form of Open repositories. Likewise, the Open repositories for Research Data Management (RDM) are initiative to organize, store, cite, preserve, and share the collected data derived from the research. There are many multidisciplinary and subject specific open repositories for RDM offering exquisite features for perpetual management of research data. The objective of the present study is to evaluate features of popular Open Data Repositories-Zenodo, FigShare, Harvard Dataverse and Mendeley Data. The evaluation provided insights about the key features of the selected Open Data Repositories and which enable us to select the best among them. Zenodo provides maximum data upload limit. While the major features required by a researcher like DOI, File Types, citation support, licenses, search (metadata harvesting) are provided by all three repositories.

A systematic metadata harvesting workflow for analysing scientific networks

One of the disciplines behind the science of science is the study of scientific networks. This work focuses on scientific networks as a social network having different nodes and connections. Nodes can be represented by authors, articles or journals while connections by citation, co-citation or co-authorship. One of the challenges in creating scientific networks is the lack of publicly available comprehensive data set. It limits the variety of analyses on the same set of nodes of different scientific networks. To supplement such analyses we have worked on publicly available citation metadata from Crossref and OpenCitatons. Using this data a workflow is developed to create scientific networks. Analysis of these networks gives insights into academic research and scholarship. Different techniques of social network analysis have been applied in the literature to study these networks. It includes centrality analysis, community detection, and clustering coefficient. We have used metadata of Scientometrics journal, as a case study, to present our workflow. We did a sample run of the proposed workflow to identify prominent authors using centrality analysis. This work is not a bibliometric study of any field rather it presents replicable Python scripts to perform network analysis. With an increase in the popularity of open access and open metadata, we hypothesise that this workflow shall provide an avenue for understanding scientific scholarship in multiple dimensions.

CLARIN-D: An IT-Based Research Infrastructure for the Humanities and Social Sciences

The paper discusses the idea of bridging the gap between computer sciences and the humanities by referring to an e-humanities infrastructure that provides tools and services for well-defined and frequently encountered tasks. The main goal of this infrastructure is to enable researchers in the humanities and social sciences to better exploit their potential by reusing available digital resources, and thus to increase the efficiency of e-humanities projects. CLARIN-D is an example of such a research infrastructure. The paper provides a brief overview of the basic principles and services of the CLARIN-D infrastructure, such as metadata harvesting, federated content search, and chaining Web services.

Software DSpace

Investigação que visa elencar características básicas que compõem o pacote de software DSpace no contexto dos repositórios institucionais. Pontua temas essenciais para a pesquisa, sendo: comunicação científica, Iniciativa de Arquivos Abertos, Movimento de Acesso Aberto e repositório institucional. Resulta, segundo uma pesquisa descritiva e bibliográfica, e de abordagem qualitativa de coleta de dados, que os repositórios institucionais foram precedidos pelos repositórios físicos, exemplificados por arquivos, bibliotecas e museus, e subsidiados pelos repositórios digitais e temáticos. Aponta o uso do DSpace na formalização de repositórios institucionais em espaços acadêmicos, especificamente em Universidades públicas, entre federais e estaduais. Estratifica um paralelo entre características do DSpace e atributos de repositório institucional, inferindo-se que esse tipo de ambiente digital promove a comunicação científica, a Iniciativa de Arquivos Abertos e o Movimento de Acesso Aberto a partir do padrão de metadados Dublin Core e do Open Archives Initiative Protocol for Metadata Harvesting. Conclui-se que o DSpace, adotado em universidades federais de todo o país, se caracteriza como uma ferramenta livre e de código-fonte aberto, que desenvolve e implementa repositórios institucionais, que garante o acesso à informação de forma perpétua, que armazena diferentes tipos de documentos e extensões, que permite ser customizável, que oferece opções de recuperação e que viabiliza a interoperabilidade entre sistemas

Pengembangan Repository berbasis Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) pada Standar Metadata Encoding and Transmission Standard (METS) dan MPEG-21 Digital Item Declaration Language (DIDL)

The purpose of this research is to build a repository model and feature the Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) and the Metadata Encoding and Transmission Standard (METS) and MPEG-21 Digital Item Declaration Language (DIDL). The research model used is qualitative research and methods. Application development used is Fourth Generation Techniques (4GT). From the results of the development of the repository by involving the Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) module on the Metadata Encoding and Transmission Standard (METS) and MPEG-21 Digital Item Declaration Language (DIDL), it has been applied to the repository application that was built. The test results using the OAI-PMH URL using the OVAL validator tool found that there were no problems and problems in validating and verifying data in the Identify, ListMetadataFormats, ListSets, ListIdentifiers, ListRecords, and XML Validation commands. While the test results show the success rate in crawling each metadata in the web repository, the average success rate of crawling metadata by Google Scholar is 90%, while the error is known to be 10% because some documents do not have complete metadata such as bibliography and uploaded documents.

Exploring Archives Space an Open Source Solution for Digital Archiving

The advent of digital and networking technologies has begun to embrace the genesis of the next-generation digital archive. The inclusion of cross-domain objects like manuscript documents, audio and video recordings, photographs, paintings, sculptures and other digitised cultural heritage materials increases the complexity of digital archiving in terms of preservation, collection, and discovery of these resources. Introducing a high definition information retrieval system to exhibit the library and museum’s digital resources to a maximum number of users in an open-access environment can satisfy the S. R. Ranganathan’s fourth law – save the time of reader as well as the staffs. Nevertheless, from the perspective of acquiring an advanced OPAC view (web-scale discovery interface) with index-based searching, metadata harvesting, and accessing the physical as well as digital holdings is always a better option for Archival Collections Management System (ACMS). This paper illustrates the fundamental notions and applications of ArchivesSpace, a useful open-source digital archiving toolkit of the contemporary world and analyses its relevance in digital language archiving.

Arquitetura para integração de bibliotecas digitais geográficas por meio de mecanismos de geoprocessamento no contexto da ciência da informação.

Objetivo: Construir uma arquitetura conceitual, com elementos para a criação de uma Biblioteca Digital Geográfica, utilizando os padrões e os conceitos da Ciência da Informação em conjunto com o Geoprocessamento.Método: Por meio de um estudo teórico, exploratório e bibliográfico nas áreas de Ciência da Informação e Geoprocessamento, foi possível desenvolver um modelo conceitual de arquitetura para a Biblioteca Digital Geográfica. A proposta foi estruturada em três camadas: a Cliente, responsável pelo processo de visualização; a Aplicação, que possui os processos de gerenciamento e análise; e a camada de dados, que contempla os serviços Web de dados, com foco na recuperação de metadados, via protocolo PMH (Protocol Metadata Harvesting).Resultado: A arquitetura conceitual criada atendeu os requisitos de representação da informação, as formas de comunicação com o protocolo de coleta de metadados e objetos digitais, possibilitando assim, o compartilhamento dos acervos informacionais geográficos distribuídos em diferentes Bibliotecas Digitais Geográficas ao redor do mundo. Os elementos informacionais enfocados no Geoprocessamento e as formas de representação temática e descritiva, de organização e recuperação de informação da Ciência da Informação confirmou-se o potencial de utilização recíproca e compartilhada de conceitos e ferramentas destas duas áreas.Conclusões: Os principais aspectos da pesquisa foram: com a implantação das três camadas e quatro processos, é possível a utilização de sistema de informações geográficas e aplicativos de interface ao usuário para facilitar o processo de compartilhamento e recuperação da informação. A utilização do gerenciador e do padrão de metadados proporciona a recuperação de informação precisa, juntamente com o editor de geo-ontologia único para todas as bibliotecas participantes.

Managing Open Access (OA) Scholarly Information Resources in a University

Open Access (OA) to scholarly information has now become a reality. Due to the efforts of OA supporters worldwide now even commercial publishers have started supporting open access to their content through various open access models. Many public institutions like universities and R&D Labs have realized the importance of OA in developing the society in general. As a result, these institutions have come up with OA repositories, archives and libraries. As with any such proliferation of information, OA resources have increased manifold and can easily overwhelm even an experienced user. Also different repositories may use various digital library software, which presents the problem of multifarious search interfaces and features. The solution can be found in the open community of open source software and open standards. The open source metadata harvesting software PKP-OHS and the open protocol for metadata harvesting i.e. OAI-PMH come to the rescue. This chapter discusses how PKP-OHS was implemented as a pilot study at the Central University of Himachal Pradesh (CUHP).