scholarly journals Repositório de dados como forma de organização do conhecimento e desenvolvimento científico

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

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.

Research Reproducibility and the Importance of Attachment Level Metadata

2018 ◽  
Author(s):  
Brett D. Currier ◽  
Courtney R. Butler
Keyword(s):  
Federal Reserve ◽  
Kansas City ◽  
Research Data ◽  
Dublin Core ◽  
Federal Reserve Bank ◽  
Data Preservation ◽  
Reserve Bank ◽  
Knowledge Organization Systems ◽  
Attachment Level ◽  
Data Reproducibility

Originally presented to the 11th U.S. Networked Knowledge Organization Systems (NKOS) Workshop at the 2017 International Conference on Dublin Core and Metadata Applications, Washington, D.C.Recommended citation: Currier, B. D. & Butler, C. R. (2017). Research Data Reproducibility and the Importance of Attachment Level Metadata. Presentation to the 11th U.S. Networked Knowledge Organization Systems (NKOS) Workshop at the 2017 International Conference on Dublin Core and Metadata Applications, Washington, D.C. Accessed through LIS Scholarship Archive. Available at http://doi.org/10.17605/OSF.IO/7KUGAThough there are inconsistencies in the way that data reproducibility is currently defined within the social sciences, it is often used to mean simply that data and code are made available as a supplement to a primary object, such as a paper, and that these materials may be used to recreate identical results. However, Clemens asserts that a broader, more clearly defined range of ways in which data may be verified and reused, such as reanalysis and extension, is important in facilitating collaborative discussions that ultimately lead to better research. This presents a new curation challenge and a shift in the purpose of research data metadata as data and code themselves become primary research objects.Metadata elements either applied within a content management system or embedded within the object itself at the item, collection, or other hierarchical level in a digital collection (herein called attachment level metadata) is an important and often overlooked consideration for the purposes of research data management and reproducibility. Applying metadata at the highest possible level of attachment in a hierarchical object structure can optimize the schema and reduce redundancy (Sundgren, et al.). However, no matter how well-developed a metadata schema is, if an object becomes separated from the schema then it risks losing much of the contextual information necessary for broadly defined reproducibility. For this reason, a selective combination of embedded metadata and associated metadata at multiple hierarchical levels has the potential to be most effective.With this in mind, the Federal Reserve Bank of Kansas City is currently developing recommendations for file structure and organization, file formats, naming conventions, and metadata schema requirements for research data collections in preparation for implementing a research data preservation platform. These recommendations are based on international standards, such as the Dublin Core Metadata Initiative (DCMI) Metadata Terms, and industry practice, as ascertained from an internally-developed sampling of almost 250 economic journal policies created by cross-referencing journal impact factors, h5-indices, IDEAS rankings, and Federal Reserve Bank of Kansas City staff authorship and service to the journal (Butler and Currier). The various components of the recommendations intersect to support the overall usability, discoverability, interoperability, reproducibility, and preservation of research data as a primary object.This presentation will discuss the differences in and importance of both associated and embedded metadata at multiple levels of hierarchical attachment and the ways in which internal recommendations in these areas are being developed to optimize the reproducibility of research data.ReferencesButler, Courtney R., and Brett D. Currier. 2017. “You Can’t Replicate What You Can’t Find: Data Preservation Policies in Economic Journals,” Presentation at the 43rd IASSIST Annual Conference, Lawrence, KS, May 23-26.Clemens, Michael A. 2017. “The Meaning of Failed Replications: A Review and Proposal,” Journal of Economic Surveys, vol. 31, no. 1, pp. 326 – 342. Available at https://doi.org/ 10.1111/joes.12139Sundgren, B., Thygesen, L., and Denis Ward. 2008. “A model for structuring of statistical data and metadata to be shared between diverse national and international statistical systems,” OECD Working Paper. Available at http://www.oecd.org/std/38541998.doc

scholarly journals Open Polar

Ravnetrykk ◽  
2020 ◽  
Author(s):  
Tamer Abu-Alam
Keyword(s):  
Open Access ◽  
Research Data ◽  
The Arctic ◽  
Data Sets ◽  
Polar Regions ◽  
Dublin Core ◽  
Standard Data ◽  
Advanced Search ◽  
Definition Of ◽  
Geo Database

Data from the Polar Regions are of critical importance to modern research and decision makers. Regardless of their disciplinary and institutional affiliations, researchers rely heavily on the comparison of existing data with new data sets to assess changes that are taking effect. However, in a recent survey of 113 major polar data providers, we found that an estimated 60% of the existing polar research data is unfindable through common search engines and can only be accessed through institutional webpages. This raises an awareness sign of the need of the scientific community to harvest different metadata related to the Polar Regions and collect it in a homogenous, seamless database and making this database available to researchers, students and publics through one search platform. This contribution describes the progress in an ongoing project, Open Polar, started in 2019 at UiT The Arctic University of Norway. The project aims to collect metadata about all the open-access research data, articles and other scholarly documents related to the Polar Regions in a homogenous and seamless database. During the first six months of the project, the beta version of the user-interface was established, with a search by map and an advanced search function. An extensive geo-database that includes thousands of polar locations and their geographic information was collected from different sources. The geo-database together with a list of keywords (i.e. on sources, indigenous peoples, languages and other polar-related keywords) will be used in the filtration process. A Reference Board was formed, and the first board meeting took place in April 2020. The geographic definition of “Polar Regions” was defined in order to include most of the current geographic definitions of “Arctic”. The project is still facing some challenges that include for example integration with non-standard data sources who do not use Dublin Core Metadata schema, or are not harvestable through the Open Access Initiative’s standard protocol for harvesting (OAI-PMH).

scholarly journals Padrões de metadados para representação e organização da informação em repositórios de dados de pesquisa

2019 ◽  
Vol 5 (1) ◽  
pp. 37-51
Author(s):  
Fernanda Alves Sanchez ◽  
Nathália Britto Pinheiro Da Silva ◽  
Fernando Luiz Vechiato
Keyword(s):  
Research Data ◽  
Dublin Core ◽  
Data Repositories ◽  
Data Documentation

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.

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
Keyword(s):  
Quantitative Methods ◽  
Research Data ◽  
Data Discovery ◽  
Dublin Core ◽  
Weak Support ◽  
Institutional Repositories ◽  
Metadata Standards ◽  
Data Objects ◽  
Data Documentation ◽  
And Storage

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.

On the Evanescence of Research Data.

1965 ◽  
Vol 20 (3) ◽  
pp. 236-236
Author(s):  
John Kosa
Keyword(s):  
Research Data

HUBUNGAN KOMUNIKASI TERAPEUTIK PERAWAT DENGAN KECEMASAN ANAK USIA PRASEKOLAH AKIBAT HOSPITALISASI

2019 ◽  
Vol 9 (2) ◽  
pp. 135-140
Author(s):  
Qurrotul Aeni ◽  
Andriyani Mustika Nurwijayanti ◽  
Muhammad Khabib Burhanuddin Iqomh
Keyword(s):  
Research Data ◽  
School Age Children ◽  
P Value ◽  
School Age ◽  
Therapeutic Communication ◽  
Cross Sectional ◽  
Communication Anxiety ◽  
Children’S Anxiety ◽  
The Relationship ◽  
Severe Anxiety

Introduction: anxiety is a condition that will be experienced by children who experience hospitalization and must get attention and management. Anxiety during hospitalization that is not properly addressed will hinder treatment and affect child development. The purpose of the study: to determine the relationship between therapeutic communication nurses and the anxiety of preschool children due to hospitalizationMethod: The study design used descriptive correlation with a cross-sectional approach. The number of samples is 31 with purposive sampling. Collecting research data using a questionnaire.Results: The results showed a majority of therapeutic communication was 61.3%, anxiety in children due to hospitalization of 100% with severe anxiety was 58.1%, there was a relationship between therapeutic communication and children's anxiety (p = 0.001). Suggestions need to be carried out further research on the factors that influence the low therapeutic communication in nurses.Discussion: The results of the statistical analysis using the Spearman's Rho test got p value 0.001 (p <0.05) the relationship between therapeutic communication and the anxiety of pre-school age children who experienced hospitalization, therapeutic communication can be used as an action to prevent anxiety due to hospitalization in pre-school age children.Suggestion: need to do further research on the factors that influence the low therapeutic communication in nurses Keywords: therapeutic communication, anxiety, hospitalization.  

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