Study on Contexts and Stages of Digital Content Curation Models: Guidelines for Use in Qualitative Analysis Software

Authors

Katia Alexandra de Godoi e Silva, Univerisdade Anhanguera Uniderp, Universidade Pitágoras Unopar, BrazilFollow
António Pedro Costa, Research Centre on Didactics and Technology in the Education of Trainers, Department of Education and Psychology, and Aveiro UniversityFollow

Abstract

Researchers have shown interest in using software in scientific investigations, expanding literature review strategies in the organization, collection, analysis, and data triangulation. These aspects revealed possibilities for discussions related to digital content curation in Computer-Assisted Qualitative Data Analysis Software (CAQDAS). The choice and organization of qualitative data in scientific research are affected by this complexity of information, which involves planning, contextualization, and ethical dilemmas of sharing, among other aspects that permeate the investigations. Thus, this study aims to contribute to the reflection and analysis of models of digital content curation that can be used in CAQDAS. A qualitative descriptive methodology was used to achieve this goal, made possible by a critical literature review of scientific works about digital content curation. It was based on searches in two academic databases (Scientific Electronic Library Online – SciELO – and Scopus) and two gray literature databases. As a result, few digital content curation models with similar stages are employed in different contexts, and that some authors are interested in reflecting on such models. It was also found that the digital content curation models can be redefined and explored based on specific guidelines that consider the context of the organization of qualitative data in CAQDAS.

Keywords

webQDA, digital curation, qualitative research, curation templates, guidelines

Author Bio(s)

Katia Alexandra de Godoi e Silva (https://orcid.org/0000-0002-6003-6852) is researcher in the postgraduate program in Methodologies for Teaching Languages and their Technologies (UNOPAR) and researcher in Masters in Science and Mathematics Teaching (UNIDERP). She holds a Ph.D. in Education and Curriculum at the Pontifical Catholic University of São Paulo (PUC-SP). She holds post-doctorate in Education at the University of Aveiro (Portugal). She is member of the Technical Evaluation Monitoring Committee (CTAA/INEP). She is member of the Scientific Committee of the Ibero-American Congress on Qualitative Research (www.wcqr.info). She has experience in Education (digital content curation). Please direct correspondence to katia.a.silva@cogna.com.br

António Pedro Costa (https://orcid.org/0000-0002-4644-5879) is a principal researcher at the Research Centre on Didactics and Technology in the Education of Trainers (CIDTFF), Department of Education and Psychology of the University of Aveiro (Portugal). He holds a Ph.D. in Multimedia in Education and a post-doctorate at the same institution, with the project “Implementation and Evaluation of Instruments for Qualitative Analysis in Research”. He also collaborates with the Artificial Intelligence and Computer Science Laboratory (LIACC) at the Faculty of Engineering, University of Porto (Portugal). He is one of the researchers/authors of the qualitative data analysis software webQDA (www.webqda.net). He is the Coordinator of the Ibero-American Congress on Qualitative Research (www.ciaiq.org) and the World Conference on Qualitative Research (www.wcqr.info), which gathers more than 700 researchers annually. He is the (co)author of more than 300 publications. Coordinated several projects with public and private funding worth more than 3 million euros.

Acknowledgements

The work of the second author is funded by national funds through FCT – Fundação para a Ciência e a Tecnologia, I.P., under the Scientific Employment Stimulus - Institutional Call - [CDL-CTTRI-248-SGRH/2022] and the CIDTFF (projects UIDB/00194/2020 and UIDP/00194/2020).

Publication Date

10-14-2023

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License.

DOI

10.46743/2160-3715/2023.6684

Recommended APA Citation

Silva, K. A., & Costa, A. P. (2023). Study on Contexts and Stages of Digital Content Curation Models: Guidelines for Use in Qualitative Analysis Software. The Qualitative Report, 28(10), 2980-2994. https://doi.org/10.46743/2160-3715/2023.6684

ORCID ID

https://orcid.org/0000-0002-6003-6852