Horses for courses: Facilitating postgraduate research students’ choice of Computer Assisted Qualitative Data Analysis System (CAQDAS)

This research aims to identify the Malay principal form in the roof decorative elements of Rumah Limas Bumbung Perak (RLBP). Through site observation, the data is collected in the form of images and analysed using the CAQDAS (Computer Assisted Qualitative Data Analysis Software) of Atlas Ti. 8. The findings of the research found that there are four Malay principal forms; Gunungan, Buah Guntung, Lebah Bergantung and Pohon Beringin present in the roof decorative elements of RLBP. The similarity and uniformity in the engagement of the form and its meaning is identifiable with the traditional houses of the other region which indicates a uniform understanding of the belief system and practises of the craftsmens throughout the Peninsula.

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Aproximações entre curadoria digital e CAQDAS: uma revisão sistemática de literatura

Práxis Educacional ◽

10.22481/praxisedu.v17i48.8809 ◽

2021 ◽

Vol 17 (48) ◽

pp. 1-24

Author(s):

Katia Alexandra de Godoi e Silva ◽

António Pedro Costa

Keyword(s):

Data Analysis ◽

Qualitative Data ◽

Computer Assisted ◽

Analysis Software ◽

Qualitative Data Analysis ◽

Qualitative Data Analysis Software ◽

Data Analysis Software

Este artigo propõe contribuir para a reflexão sobre o processo de curadoria digital, no intuito de discorrer sobre algumas das principais concepções sobre curadoria digital em diferentes contextos, tanto por autores brasileiros quanto estrangeiros, de modo a elucidar e aproximar o tema na organização e gestão de dados em Computer Assisted Qualitative Data Analysis Software (CAQDAS). Para alcançar tal objetivo, esta pesquisa se utilizou de metodologia qualitativa de cunho descritivo, possibilitada por uma revisão sistemática da literatura de trabalhos científicos sobre o tema da curadoria digital, a partir de buscas em uma base de dados acadêmicas (Scopus) e em uma base da literatura cinzenta (Banco de Teses e Dissertações da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES). Como resultados, constatou-se que as concepções sobre curadoria digital convergem para diferentes práticas de curadoria de conteúdo, curadoria digital de dados de pesquisa ou eScience e curadoria digital. Também constatou-se que a curadoria digital pode ser aplicada em diferentes contextos, como bases de dados colaborativas, redes sociais, repositórios, gerenciadores de dados qualitativos, preservação do acervo de objetos culturais digitais, além da organização de dados qualitativos em CAQDAS e também como proposta metodológica no processo de ensino.

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Jack + Jill, and Joey in paradise: CAQDAS Conference 07

KWALON ◽

10.5117/2007.012.002.010 ◽

2007 ◽

Vol 12 (2) ◽

Author(s):

Hennie Boeije ◽

Jeanine Evers

Keyword(s):

Qualitative Research ◽

Data Analysis ◽

Qualitative Data ◽

Computer Assisted ◽

Qualitative Data Analysis

Op Royal Holloway College, universiteit van Londen, werd dit jaar de tweede conferentie over CAQDAS – computer-assisted qualitative data-analysis – gehouden. Het was er van de 17e tot de 19e april zonnig en gezellig. Organisator was het CAQDAS Networking Project van de universiteit van Surrey. De wortels van dat project, dat nu officieel dertien jaar bestaat, liggen in 1989 bij de conferentie Using Computers in Qualitative Research. Dit jaar ging het over Advances in Qualitative Computing.

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Using Computational Techniques to Fill the Gap between Qualitative Data Analysis and Text Analytics

KWALON ◽

10.5117/2010.015.003.002 ◽

2010 ◽

Vol 15 (3) ◽

Author(s):

Curtis Atkisson ◽

Colin Monaghan ◽

Edward Brent

Keyword(s):

Data Analysis ◽

Qualitative Data ◽

Computational Techniques ◽

Text Analytics ◽

Qualitative Data Analysis ◽

Text Data ◽

Textual Data ◽

Data Flows ◽

Mass Digitization ◽

Analysis System

The recent mass digitization of text data has led to a need to efficiently and effectively deal with the mountain of textual data that is generated. Digitized text is increasingly in the form of digitized data flows (Brent, 2008). Digitized data flows are non-static streams of generated content – including twitter, electronic news, etc. An oft-cited statistic is that currently 85% of all business data is in the form of text (cited in Hotho, Nürnberger & Paass, 2005). This mountain of data leads us to the question whether the labor-intensive traditional qualitative data analysis techniques are best suited for this large amount of data. Other techniques for dealing with large amounts of data may also be found wanting because those techniques remove the researcher from an immersion in the data. Both dealing with large amounts of data and allowing immersion in data are clearly desired features of any text analysis system.

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