A study of Open Access research data repositories developed by BRICS countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Safat Mushtaq Misgar ◽  
Ajra Bhat ◽  
Zahid Ashraf Wani
Keyword(s):  
Open Access ◽  
Emerging Economies ◽  
Research Policy ◽  
Research Output ◽  
Research Data ◽  
Data Repository ◽  
Research Activity ◽  
Data Repositories ◽  
Content Type ◽  
Subject Coverage

Purpose In the present era, research data is a concern for researchers, as they are trying to find new ways to communicate their research findings and conclusions to other researchers in order to increase visibility and credibility. BRICS nations are fast emerging economies and contribute significantly in research output. This study makes an effort to analyze and explore the role of BRICS nations towards open access research data repository registered with Registry of Research Data Repositories. Design/methodology/approach The data were gathered from re3data repository, and the search was limited to BRICS nations. The data were further analyzed and tabulated as per set parameters, namely, country-wise distribution, types of contents, subject coverage and language diversity. Findings The findings depict that in terms of strength, India has the highest number of data repositories, thereby achieved the first rank among BRICS nations, and South Africa has the least number of data repositories, whereas in terms of content type and subject coverage, India again is leading among BRICS nations. The English language is used by repositories as the main language of the interface. Practical implications The study helps to understand the development of research data repositories by BRICS nations. The study is further beneficial to researchers, as Registry of Research Data Repository provides a single platform to access repositories from various disciplines. Readily available data saves time, money and efforts of researchers and helps the researcher in completing their research activity in a very short span of time. Originality/value The paper has investigated open access data repositories of BRICS nation that has not been attempted earlier. This gives readers comprehensive overview of research data repositories developed in fast emerging economies of the global. The paper can be very helpful for information managers, OA promoters and education and research policy makers to devise plans and policy bearing in mind the evolving research channels in emerging economies.

scholarly journals Connecting Data Publication to the Research Workflow: A Preliminary Analysis

2017 ◽  
Vol 12 (1) ◽  
pp. 88-105 ◽  
Author(s):  
Sünje Dallmeier-Tiessen ◽  
Varsha Khodiyar ◽  
Fiona Murphy ◽  
Amy Nurnberger ◽  
Lisa Raymond ◽  
...  
Keyword(s):  
Working Group ◽  
Research Data ◽  
Data Publishing ◽  
Data Repository ◽  
Research Activity ◽  
Data Repositories ◽  
Data Publication ◽  
Loosely Coupled ◽  
Definition Of ◽  
Data Documentation

The data curation community has long encouraged researchers to document collected research data during active stages of the research workflow, to provide robust metadata earlier, and support research data publication and preservation. Data documentation with robust metadata is one of a number of steps in effective data publication. Data publication is the process of making digital research objects ‘FAIR’, i.e. findable, accessible, interoperable, and reusable; attributes increasingly expected by research communities, funders and society. Research data publishing workflows are the means to that end. Currently, however, much published research data remains inconsistently and inadequately documented by researchers. Documentation of data closer in time to data collection would help mitigate the high cost that repositories associate with the ingest process. More effective data publication and sharing should in principle result from early interactions between researchers and their selected data repository. This paper describes a short study undertaken by members of the Research Data Alliance (RDA) and World Data System (WDS) working group on Publishing Data Workflows. We present a collection of recent examples of data publication workflows that connect data repositories and publishing platforms with research activity ‘upstream’ of the ingest process. We re-articulate previous recommendations of the working group, to account for the varied upstream service components and platforms that support the flow of contextual and provenance information downstream. These workflows should be open and loosely coupled to support interoperability, including with preservation and publication environments. Our recommendations aim to stimulate further work on researchers’ views of data publishing and the extent to which available services and infrastructure facilitate the publication of FAIR data. We also aim to stimulate further dialogue about, and definition of, the roles and responsibilities of research data services and platform providers for the ‘FAIRness’ of research data publication workflows themselves.

Study of Asian RDR based on re3data

2019 ◽  
Vol 37 (2) ◽  
pp. 302-313
Author(s):  
Jane Cho
Keyword(s):  
Research Output ◽  
Research Data ◽  
Asian Countries ◽  
Main Subject ◽  
Data Repositories ◽  
Subject Field ◽  
Technical Problems ◽  
Content Type ◽  
Subject Areas ◽  
The Subject

Purpose RDR has become an essential academic infrastructure in an atmosphere that facilitates the openness of research output granted by public research funds. This study aims to understand operational status of 152 Asian data repositories on re3data and cluster repositories into four groups according to their operational status. In addition, identify the main subject areas of RDRs in Asian countries and try to understand what topic correlations exist between data archived in Asian countries. Design/methodology/approach This study extracts metadata from re3data and analyzes it in various ways to grasp the current status of research data repositories in Asian countries. The author clusters the repositories into four groups using hierarchical cluster analysis according to the level of operation. In addition, for identifying the main subject areas of RDRs in Asian countries, extracted the keywords of the subject field assigned to the each repository, and Pathfinder Network (PFNET) analysis is performed. Findings About 70 per cent of the Asian-country repositories are those where licenses or policies are declared but not granted permanent identifiers and international-level certification. As a result of the subject domain analysis, eight clusters are formed centering on life sciences and natural sciences. Originality/value The research output in developing countries, especially non-English-speaking countries, tends not to be smoothly circulated in the international community due to the immaturity of the open-access culture, as well as linguistic and technical problems. This study has value, in that it investigates the status of Asian countries’ research data management and global distribution infrastructure in global open-science trends.

scholarly journals GAMS – An infrastructure for the long-term preservation and publication of research data from the Humanities

2018 ◽  
Vol 71 (1) ◽  
pp. 207-216 ◽  
Author(s):  
Johannes Hubert Stigler ◽  
Elisabeth Steiner
Keyword(s):  
System Architecture ◽  
Academic Research ◽  
Research Data ◽  
Data Repository ◽  
Data Repositories ◽  
Domain Specific ◽  
Preservation Policy ◽  
Long Term Preservation ◽  
Data Centres

Research data repositories and data centres are becoming more and more important as infrastructures in academic research. The article introduces the Humanities’ research data repository GAMS, starting with the system architecture to preservation policy and content policy. Challenges of data centres and repositories and the general and domain-specific approaches and solutions are outlined. Special emphasis lies on the sustainability and long-term perspective of such infrastructures, not only on the technical but above all on the organisational and financial level.

Sharing Open Data in Agriculture

2021 ◽  
pp. 244-266
Author(s):  
Liah Shonhe
Keyword(s):  
Agricultural Sector ◽  
Open Data ◽  
Research Data ◽  
Data Sets ◽  
Research Activity ◽  
African Countries ◽  
Data Set ◽  
Data Repositories ◽  
Bibliographic Data ◽  
Prolific Authors

The main focus of the study was to explore the practices of open data sharing in the agricultural sector, including establishing the research outputs concerning open data in agriculture. The study adopted a desktop research methodology based on literature review and bibliographic data from WoS database. Bibliometric indicators discussed include yearly productivity, most prolific authors, and enhanced countries. Study findings revealed that research activity in the field of agriculture and open access is very low. There were 36 OA articles and only 6 publications had an open data badge. Most researchers do not yet embrace the need to openly publish their data set despite the availability of numerous open data repositories. Unfortunately, most African countries are still lagging behind in management of agricultural open data. The study therefore recommends that researchers should publish their research data sets as OA. African countries need to put more efforts in establishing open data repositories and implementing the necessary policies to facilitate OA.

scholarly journals Advancing scholarly publishing through open access biomedical repositories: A knowledge management perspective

IFLA Journal ◽  
2019 ◽  
Vol 45 (3) ◽  
pp. 233-245 ◽  
Author(s):  
Lisa Kruesi ◽  
Kerry Tanner ◽  
Frada Burstein
Keyword(s):  
Knowledge Management ◽  
Open Access ◽  
Role Model ◽  
Research Output ◽  
Research Data ◽  
Scholarly Publishing ◽  
Pubmed Central ◽  
The Past ◽  
Management Perspective ◽  
The Us

Scholarly publishing has undergone major changes over the past 50 years. Funder mandates and organisational reporting obligations have heralded the creation of open access repositories, such as institutional and subject repositories. This research draws upon the US PubMed Central (PMC) and Europe PMC, also known as PMC International, as a role model to inform the concept and opportunity for an Australasia open access biomedical repository. PMC International is a leader in making citations and research output, which link to research data, Findable, Accessible, Interoperable and Reusable (FAIR). As repositories approach two decades of development, this paper reports on the potential for an Australasia open access biomedical repository through a knowledge management lens and explores the opportunities for future open access biomedical repositories.

scholarly journals Open access repositories on open educational resources

2016 ◽  
Vol 11 (1) ◽  
pp. 35-49 ◽  
Author(s):  
Chew Bee Leng ◽  
Kamsiah Mohd Ali ◽  
Ch’ng Eng Hoo
Keyword(s):  
Open Access ◽  
Digital Libraries ◽  
Open Educational Resources ◽  
Information And Communications Technology ◽  
Educational Resources ◽  
Data Repositories ◽  
Content Type ◽  
Learning And Teaching ◽  
Knowledge Platform ◽  
Harvesting Method

Purpose Triggered by the advancement of information and communications technology, open access repositories (a variant of digital libraries) is one of the important changes impacting library services. In the context of openness to a wider community to access free resources, Wawasan Open University Library initiated a research project to build open access repositories on open educational resources. Open educational resources (OER) is an area of a multifaceted open movement in education. The purpose of this paper is to show how two web portal repositories on OER materials were developed adopting a Japanese open source software, called WEKO. Design/methodology/approach The design approach is based on a pull to push strategy whereby metadata of scholarly open access materials kept within the institution and network communities’ digital databases were harvested using the Open Archives Initiatives Protocol for Metadata Harvesting method into another open knowledge platform for discovery by other users. Findings Positive results emanating from the university open access repositories development showed how it strengthen the role of the librarian as manager of institutional assets and successfully making the content freely available from this open knowledge platform for reuse in learning and teaching. Research limitations/implications Developing further programmes to encourage, influence faculty members and prospective stakeholders to use and contribute content to the valuable repositories is indeed a challenging task. Originality/value This paper provides insight for academic libraries on how open access repositories development and metadata analysis can enhance new professional challenges for information professionals in the field of data management, data quality and intricacies of supporting data repositories and build new open models of collaboration across institutions and libraries. This paper also describes future collaboration work with institutions in sharing their open access resources.

Internet researchers’ data sharing behaviors

2018 ◽  
Vol 42 (1) ◽  
pp. 124-142 ◽  
Author(s):  
Youngseek Kim ◽  
Seungahn Nah
Keyword(s):  
Social Norms ◽  
Data Sharing ◽  
Positive Impact ◽  
Scientific Data ◽  
Data Reuse ◽  
Equation Modeling ◽  
Data Repository ◽  
Data Repositories ◽  
Content Type ◽  
And Behaviors

Purpose The purpose of this paper is to examine how data reuse experience, attitudinal beliefs, social norms, and resource factors influence internet researchers to share data with other researchers outside their teams. Design/methodology/approach An online survey was conducted to examine the extent to which data reuse experience, attitudinal beliefs, social norms, and resource factors predicted internet researchers’ data sharing intentions and behaviors. The theorized model was tested using a structural equation modeling technique to analyze a total of 201 survey responses from the Association of Internet Researchers mailing list. Findings Results show that data reuse experience significantly influenced participants’ perception of benefit from data sharing and participants’ norm of data sharing. Belief structures regarding data sharing, including perceived career benefit and risk, and perceived effort, had significant associations with attitude toward data sharing, leading internet researchers to have greater data sharing intentions and behavior. The results also reveal that researchers’ norms for data sharing had a direct effect on data sharing intention. Furthermore, the results indicate that, while the perceived availability of data repository did not yield a positive impact on data sharing intention, it has a significant, direct, positive impact on researchers’ data sharing behaviors. Research limitations/implications This study validated its novel theorized model based on the theory of planned behavior (TPB). The study showed a holistic picture of how different data sharing factors, including data reuse experience, attitudinal beliefs, social norms, and data repositories, influence internet researchers’ data sharing intentions and behaviors. Practical implications Data reuse experience, attitude toward and norm of data sharing, and the availability of data repository had either direct or indirect influence on internet researchers’ data sharing behaviors. Thus, professional associations, funding agencies, and academic institutions alike should promote academic cultures that value data sharing in order to create a virtuous cycle of reciprocity and encourage researchers to have positive attitudes toward/norms of data sharing; these cultures should be strengthened by the strong support of data repositories. Originality/value In line with prior scholarship concerning scientific data sharing, this study of internet researchers offers a map of scientific data sharing intentions and behaviors by examining the impacts of data reuse experience, attitudinal beliefs, social norms, and data repositories together.

scholarly journals Análisis de los principios para la descripción de datos de investigación mediante Datacite Metadata Schema

2020 ◽  
Vol 23 (1) ◽  
Author(s):  
Eder Ávila-Barrientos
Keyword(s):  
Discourse Analysis ◽  
Open Access ◽  
Data Access ◽  
Research Data ◽  
Data Sets ◽  
Data Repositories ◽  
Metadata Schema ◽  
Acceso Abierto ◽  
Methodological Principles ◽  
Access Policies

El objetivo de este trabajo consiste en analizar los principios teórico-metodológicos relacionados con la descripción de los datos de investigación. Se realizó un análisis sobre el estado de la cuestión de los datos de investigación, en cual se abordan aspectos de su citación, descripción y sistematización. Se identificaron y analizaron los elementos de metadatos para la descripción de conjuntos de datos de investigación que se incluyen en el DataCite Metadata Schema, con el propósito de crear una propuesta de perfil descriptivo aplicable a estos conjuntos. Se estima que, si los datos de investigación se encuentran debidamente descritos, entonces se fomentará en mayor grado su accesibilidad y reutilización. Para ello, es necesario que las instituciones académicas y de investigación participen en la generación de políticas de acceso abierto a sus datos de investigación. The objective of this work is to analyze the theoretical-methodological principles related to the description and accessibility of research data. Hermeneutics and discourse analysis were applied to literature specialized in: research data; access and description of research data; data repositories. Metadata elements for the description of research datasets that are included in the DataCite Metadata Schema were identified and analyzed, in order to create a descriptive profile proposal for research data sets, which can be applied in the data repositories. If the research data is properly described, then its accessibility and reuse will be further promoted. To do this, it is necessary for academic and research institutions to participate in the generation of open access policies for their research data.

Delivering the Next-Generation Research Repository

2019 ◽  
pp. 144-154
Author(s):  
Adi Alter ◽  
Eddie Neuwirth ◽  
Dani Guzman
Keyword(s):  
Data Management ◽  
Research Output ◽  
Scale Up ◽  
Research Data ◽  
Next Generation ◽  
Data Repositories ◽  
Institutional Repositories ◽  
Research Data Management ◽  
Library Research ◽  
Multiple Data

Academic libraries are looking for ways to grow their involvement in and scale-up their support for research activities. The successful transition depends to a large extent on the library's ability to systematically manage data, break down information silos and unify workflows across the library, research office and researchers. Data repositories are at the heart of this challenge, yet often institutional repositories are not built to address the needs of modern research data management due to inability to store all research assets, lack of consistent data models, and insufficient workflows. This chapter will present a new approach to research data management that ensures visibility of research output and data, data coherency, and compliance with open access standards. The authors will discuss a ‘Next-Generation Research Repository' that spans multiple data management activities, including automated data capture, metadata enrichment, dissemination, compliance-related workflows, automated publication to scholarly profiles, as well as open integration with the research ecosystem.

Data management planning and repository demands for qualitative research

KWALON ◽  
2016 ◽  
Vol 21 (1) ◽  
Author(s):  
René van Horik
Keyword(s):  
Data Management ◽  
Research Data ◽  
Digital Data ◽  
Data Repository ◽  
Data Sets ◽  
Data Repositories ◽  
Management Planning ◽  
Research Activities ◽  
Trusted Data ◽  
New Research

Summary Nowadays, research without a role for digital data and data analysis tools is barely possible. As a result, we see an increasing interest in research data management, as this enables the replication of research outcomes and the reuse of research data for new research activities. Data management planning outlines how to handle data, both during research and after the research is completed. Trusted data repositories are places were research data are archived and made available for the long term. This article covers the state of the art concerning data management and data repository demands with a focus on qualitative data sets.

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