scholarly journals Do Institutional Repository Deposit Guidelines Deter Data Discovery?

2021 ◽  
Vol 16 (3) ◽  
pp. 2-17
Author(s):  
Shawn W. Nicholson ◽  
Terrence B. Bennett

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.

2019 ◽  
Vol 52 (3) ◽  
pp. 633-646 ◽  
Author(s):  
Soohyung Joo ◽  
Christie Peters

This study assesses the needs of researchers for data-related assistance and investigates their research data management behavior. A survey was conducted, and 186 valid responses were collected from faculty, researchers, and graduate students across different disciplines at a research university. The services for which researchers perceive the greatest need include assistance with quantitative analysis and data visualization. Overall, the need for data-related assistance is relatively higher among health scientists, while humanities researchers demonstrate the lowest need. This study also investigated the data formats used, data documentation and storage practices, and data-sharing behavior of researchers. We found that researchers rarely use metadata standards, but rely more on a standard file-naming scheme. As to data sharing, respondents are likely to share their data personally upon request or as supplementary materials to journal publications. The findings of this study will be useful for planning user-centered research data services in academic libraries.


2019 ◽  
Vol 5 (1) ◽  
pp. 37-51
Author(s):  
Fernanda Alves Sanchez ◽  
Nathália Britto Pinheiro Da Silva ◽  
Fernando Luiz Vechiato

Os padrões de metadados possibilitam que os dados de pesquisas possam ser descritos, obtendo informações de sua proveniência. Objetivou-se identificar os padrões de metadados mais utilizados mundialmente para a representação de dados de pesquisa. A pesquisa documental e exploratória de abordagem qualitativa, utilizou como instrumento metodológico o diretório Registry of Research Data Repositories - Re3data, selecionando os três padrões de metadados mais utilizados pelos repositórios de dados de pesquisa, sendo eles: Dublin Core (DC), Data Documentation Initiative (DDI) e ISO 19115 - Geografic information - Metadada., Data. O diretório contribuiu ainda para uma escolha de três repositórios que fazem uso dos padrões de metadados. Verificou-se que os padrões de metadados representam seus dados e as informações, de modo que auxiliam na veracidade das informações sobre um determinado dado de pesquisa representado, bem como permite uma descrição, assim tornando-se no formato de dados e informações armazenadas nos repositórios de dados de pesquisa que potencializam a uso, reuso e compartilhamento.


2017 ◽  
Vol 12 (1) ◽  
pp. 88-105 ◽  
Author(s):  
Sünje Dallmeier-Tiessen ◽  
Varsha Khodiyar ◽  
Fiona Murphy ◽  
Amy Nurnberger ◽  
Lisa Raymond ◽  
...  

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.


2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Sonia Elisa Caregnato ◽  
Samile Andrea de Souza Vanz ◽  
Caterina Groposo Pavão ◽  
Paula Caroline Jardim Schifino Passos ◽  
Eduardo Borges ◽  
...  

RESUMO O artigo apresenta análise exploratória das práticas e das percepções a respeito do acesso aberto a dados de pesquisa embasada em dados coletados por meio de survey, realizada com pesquisadores brasileiros. As 4.676 respostas obtidas demonstram que, apesar do grande interesse pelo tema, evidenciado pela prevalência de variáveis relacionadas ao compartilhamento e ao uso de dados e aos repositórios institucionais, não há clareza por parte dos sujeitos sobre os principais tópicos relacionados. Conclui-se que, apesar da maioria dos pesquisadores afirmar que compartilha dados de pesquisa, a disponibilização desses dados de forma aberta e irrestrita ainda não é amplamente aceita.Palavras-chave: Dados Abertos de Pesquisa; Compartilhamento de Dados; Reuso de Dados.ABSTRACT This article presents an exploratory analysis of the practices and perceptions regarding open access to research data based on information collected by a survey with Brazilian researchers. The 4,676 responses show that, despite the great interest in the topic, evidenced by the prevalence of variables related to data sharing and use and to institutional repositories, there is no clarity on the part of the subjects on the main related topics. We conclude that, although the majority of the researchers share research data, the availability of this data in an open and unrestricted way is not yet widely accepted.Keywords: Open Research Data; Data Sharing; Data Reuse.


2021 ◽  
Author(s):  
Debbie Martindale

<p>This presentation introduces academics and researchers to the value of formal and informal technologies in promoting the visibility and discoverability of their online researcher identity. Topics covered in the presentation include Open Access, Creative Commons licensing, Institutional Repositories, Research Data Management, ORCID, Research Collaboration & Social Scholarship, Researcher impact &citation analysis, Social Media, and Altmetrics.</p>


2020 ◽  
Vol 4 (3) ◽  
pp. 181-187
Author(s):  
Sri Hariyati ◽  
Mudjiran Mudjiran ◽  
Daharnis Daharnis

This study aims to describe and analyze self-efficacy, social support, and teacher readiness to face retirement. The research was carried out using descriptive quantitative methods. The population of this research is 125 teachers who will retire in Kecamatan Bangkinang Kota, Riau, and the research sample is 95 teachers who will retire in Kecamatan Bangkinang Kota, Riau. Sampling using a purposive sampling technique. The research data were analyzed using simple regression and multiple regression. The data analysis process uses the help of the SPSS program. The findings of this study are: (1) self-efficacy contributes to teacher readiness to face retirement with an effective contribution of 28.1%, (2) social support contributes to teacher readiness to face retirement by 21.6% (3) self-efficacy and social support simultaneously. collectively contributed 31.5% to teachers' readiness to face retirement. The implications of the results of this study can be used as a basis for the preparation of guidance and counseling service programs.


2019 ◽  
Author(s):  
Elizabete Cristina de Souza de Aguiar Monteiro ◽  
Priscila Machado Borges Sena ◽  
Ricardo César Gonçalves Sant’Ana ◽  
Ursula Blattmann
Keyword(s):  

Os Repositórios de dados científicos de universidades tem infraestrutura para dar suporte aos pesquisadores na gestão e na disponibilização de dados potencializando sua reutilização por outros pesquisadores. Os dados armazenados em repositórios podem contribuir para o resgate da memória de uma instituição, uma vez que são organizados e representados de forma a revelar os métodos e os instrumentos utilizados pelos pesquisadores em determinados períodos de tempo, bem como as temáticas pesquisadas, os tipos de dados coletados ou gerados e o contexto histórico que fizeram parte. A organização do conhecimento pode ser compreendida como um procedimento de modelagem do conhecimento que objetiva a elaboração de representações do conhecimento. Nessa perspectiva, é possível relacionar a organização e representação à constituição de uma dada memória. Ao abordar memória torna-se relevante ressaltar que esta pode ser individual ou coletiva. Deste modo, compreende-se que o resgate dos dados revela o registro da memória individual de um pesquisador em relação a sua pesquisa e, em conjunto com as memórias de outros pesquisadores e da instituição, tornam-se passíveis de constituir uma memória coletiva. Sendo assim, buscou-se apresentar como a organização e representação de dados em repositório de dados pode contribuir para a constituição e recuperação da memória institucional. A metodologia empregada foi exploratória e descritiva. O universo pesquisado foi composto por 36 repositórios recuperados das cem melhores universidades do mundo ranqueadas no webometrics.info. Para coleta dos dados sobre o padrão de metadados utilizados pelos repositórios foi utilizado o Registry of Research Data Repositoy, (re3data.org), um registro global de repositórios de dados de pesquisa. Os resultados demonstram que para a representação dos conjuntos de dados, os repositórios analisados utilizam o esquema de metadados Dublin Core (DC) e alguns repositórios criaram seus próprios requisitos a partir do DC para atender suas particularidades na representação tendo como atributos em comum título, autor, palavras-chave, assunto, versões e descrição dos conjuntos de dados. Os repositórios organizam seus conjuntos de dados em coleções que denominam como: a) comunidades e coleções ou disciplinas: representam as comunidades, os departamentos ou instituto que compõem a universidade, sendo elementos que representam a memória do que cada área coletou ou gerou de dados e as pesquisas desenvolvidas; b) cobertura temporal: cobre o período histórico ao qual os dados estão relacionados e representam as memórias anuais da comunidade; c) cobertura geográfica: incluem os dados de determinadas cidades, países ou regiões, e representam a memória dos locais que fizeram parte das pesquisas; d) financiador: as agências financiadoras das pesquisas e representam a memória ligada às agências que financiaram as pesquisas em determinados período de tempo. Conclui-se que os repositórios de dados são serviços vinculados organicamente aos ambientes institucionais, agregam valor aos repositórios institucionais das universidades tendo o compromisso com a formação da memória acadêmica e institucional e com a preservação a longo prazo de ativos de valor contínuo e que a reunião e organização da memória do pesquisador e da instituição favorece a rastreabilidade e resgate dos elementos que compõem esses repositórios.


Author(s):  
Jadranka Stojanovski

>> See video of presentation (28 min.) The primary goal of scholarly communication is improving human knowledge and sharing is the key to achieve this goal: sharing ideas, sharing methodologies, sharing of results, sharing data, information and knowledge. Although the concept of sharing applies to all phases of scholarly communication, most often the only visible part is the final publication, with the journal article as a most common type. The traditional characteristics of the present journals allow only limited possibilities for sharing the knowledge. Basic functions, registration, dissemination, certification, and storage, are still present but they are no more effective in the network environment. Registration is too slow, there are various barriers to dissemination, certification system has many shortcomings, and used formats are not suitable for the long term preservation and storage. Although the journals today are digital and various powerful technologies are available, they are still focused on their unaltered printed versions. This presentation will discuss possible evolution of journal article to become more compliant with users' needs and to enable “the four R’s of openness” – reuse, redistribute, revise and remix (Hilton, Wiley, Stein, & Johnson, 2010).Several aspects of openness will be presented and discussed: open access, open data, open peer review, open authorship, and open formats. With digital technology which has become indispensable in the creation, collection, processing and storage of data in all scientific disciplines the way of conducting scientific research has changed and the concept of "data-driven science" has been introduced (Ware & Mabe, 2009). Sharing research data enhances the capabilities of reproducing the results, reuse maximizes the value of research, accelerating the advancement of science, ensuring transparency of scientific research, reducing the possibility of bias in the interpretation of results and increasing the credibility of published scientific knowledge. The open peer review can ensure full transparency of the entire process of assessment and help to solve many problems in the present scholarly publishing. Through the process of the open peer review each manuscript can be immediately accessible, reviewers can publicly demonstrate their expertise and could be rewarded, and readers can be encouraged to make comments and views and to become active part of the scholarly communication process. The trend to to describe the author's contribution is also present, which will certainly lead to a reduced number of “ghost”, "guest" and "honorary" authors, and will help to establish better standards for author’s identification.Various web technologies can be used also for the semantic enhancement of the article. One of the most important aspects of semantic publication is the inclusion of the research data, to make them available to the user as an active data that can be manipulated. It is possible to integrate data from external sources, or to merge the data from different resources (data fusion) (Shotton, 2012), so the reader can gain further understanding of the presented data. Additional options provide merging data from different articles, with the addition of the component of time. Other semantic enhancement can include enriched bibliography, interactive graphical presentations, hyperlinks to external resources, tagged text, etc.Instead of mostly static content, journals can offer readers dynamic content that includes multimedia, "living mathematics", “executable articles”, etc. Videos highlighting critical points in the research process, 3D representations of chemical compounds or art works, audio clips with the author's reflections and interviews, and animated simulations or models of ocean currents, tides, temperature and salinity structure, can became soon common part of every research article. The diversity of content and media, operating systems (GNU / Linux, Apple Mac OSX, Microsoft Windows), and software tools that are available to researchers, suggests the usage of the appropriate open formats. Different formats have their advantages and disadvantages and it would be necessary to make multiple formats available, some of which are suitable for "human" reading (including printing on paper), and some for machine reading that can be used by computers without human intervention. Characteristics and possibilities of several formats will be discussed, including XML as the most recommended format, which can enable granulate document structure as well as deliver semantics to the human reader or to the computer.Literature:Hilton, J. I., Wiley, D., Stein, J., & Johnson, A. (2010). The Four R’s of Openness and ALMS Analysis: Frameworks for Open Educational Resources. Open Learning: The Journal of Open, Distance and E-Learning, 25(1), 37–44. doi:10.1080/02680510903482132Shotton, D. (2012). The Five Stars of Online Journal Articles - a Framework for Article Evaluation. D-Lib Magazine, 18(1/2), 1–16. doi:10.1045/january2012-shottonWare, M., & Mabe, M. (2009). The stm report (p. 68).


2019 ◽  
Vol 39 (06) ◽  
pp. 280-289 ◽  
Author(s):  
Raj Kumar Bhardwaj

The study aims to trace the development of Indian research data repositories (RDRs) and explore their content with the view of identifying prospects and possibilities. Further, it analyses the distribution of data repositories on the basis of content coverage, types of content, author identification system followed, software and the application programming interface used, subject wise number of repositories etc. The study is based on data repositories listed on the registry of data repositories accessible at http://www.re3data.org.The dataset was exported in Microsoft Excel format for analysis. A simple percentage method was followed in data analyses and results are presented through Tables and Figures. The study found a total of 2829 data repositories in existence worldwide. Further, it was seen that 1526 (53.9 %) are open and 924 (32.4 %) are restricted data repositories. Also, there are embargoed data repositories numbering 225 (8.0 %) and closed ones numbering 154 (5.4 %). There are 2829 RDRs covering 72 countries in the world. The study found that out of total 45 Indian RDRs, only 30 (67 %) are open, followed by restricted 12 (27 %) and 3 (6 %) that are closed. Majority of Indian RDRs (20) were developed in the year 2014. The study found that the majority of Indian RDRs (17) are‘disciplinary’. Further, the study also revealed that statistical data formats are available in a maximum of 31 (68.9 %) Indian RDRs. It was also seen that the majority of Indian RDRs (28) has datasets relating to ‘Life Sciences’. It was identified that only 20% of data repositories have been using metadata standards in metadata; the remaining 80% do not use any standards in metadata entry. This study covered only the research data repositories in India registered on the registry of data repositories. RDRs not listed in the registry of data repositories are left out.


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