scholarly journals What's [Yet] to be Seen? Re-Using Qualitative Data

2007 ◽  
Vol 12 (3) ◽  
pp. 27-38 ◽  
Author(s):  
Elizabeth B. Silva
Keyword(s):  
Qualitative Research ◽  
Social Science ◽  
Qualitative Data ◽  
Research Data ◽  
Academic Careers ◽  
Social Science Knowledge ◽  
Academic Context ◽  
Use Of Data ◽  
Professional Careers ◽  
Research Material

This paper considers current debates about re-using qualitative research data by reflecting on its implications for the nature of social science knowledge created in this process and the ways in which the disclosure of researchers’ practices are linked with the making of professional academic careers. It examines a research project using two different approaches – a ‘virtual’ and a ‘classic’ ethnography – to argue that issues concerned with re-use of data depend on the methods employed and the overall processes of investigation. The paper argues for an appreciation of the contexts involved in the generation of research material which takes into account both the development of the study and related fieldwork processes as well as the academic context in which knowledge is produced, particularly those involved in the construction of academic selves and professional careers, which are part of a wider situation bearing upon scientific enquiry.

Pesky Polygamist Women: The Marginalization of Qualitative Data in British Columbia’s Charter Reference on Polygamy

2021 ◽  
Vol 36 (1) ◽  
pp. 69-88
Author(s):  
Nerida Bullock
Keyword(s):  
Qualitative Research ◽  
British Columbia ◽  
Social Science ◽  
Supreme Court ◽  
Expert Opinion ◽  
Qualitative Data ◽  
Family Formation ◽  
Feminist Research ◽  
Canadian Charter ◽  
Value Neutrality

AbstractThis paper explores the thorny mingling of law with qualitative social science methodologies through the lens of the 2010–11 Supreme Court of British Columbia Charter Reference on polygamy, which was conducted to determine whether the criminalization of polygamy was consistent with the Canadian Charter of Rights and Freedoms. The Reference reveals how the marginalization of qualitative research(ers) effectively controlled whose voices were to be heard and whose were to be silenced in the broader project of sovereign intervention into family formation. With specific focus on Professor Angela Campbell, who provided expert opinion testimony in the Reference, this paper reflects on two important questions: when social science is invoked in legal settings, whose knowledge is legitimized, and who benefits from this legitimization? Drawing upon the longstanding feminist project of deconstructing assumptions of value-neutrality in all science, this paper considers how qualitative, feminist research(ers) may be inherently at odds with law’s quest for (rational) “truth.”

Discussion of Erik Martinez Kuhonta, Dan Slater, and Tuong Vu's Southeast Asia in Political Science: Theory, Region, and Qualitative Analysis

2010 ◽  
Vol 10 (2) ◽  
pp. 171-208
Author(s):  
Thomas B. Pepinsky ◽  
Barbara Geddes ◽  
Duncan McCargo ◽  
Richard Robison ◽  
Erik Martinez Kuhonta ◽  
...  
Keyword(s):  
Qualitative Research ◽  
Social Science ◽  
Southeast Asia ◽  
Qualitative Analysis ◽  
Political Science ◽  
Comparative Politics ◽  
Sensitive Area ◽  
Theoretical Orientations ◽  
Social Science Knowledge ◽  
Science Theory

Comparative politics has witnessed periodic debates between proponents of contextually sensitive area studies research and others who view such work as unscientific, noncumulative, or of limited relevance for advancing broader social science knowledge. In Southeast Asia in Political Science: Theory, Region, and Qualitative Analysis, edited by Erik Martinez Kuhonta, Dan Slater, and Tuong Vu, a group of bright, young Southeast Asianists argue that contextually sensitive research in Southeast Asia using qualitative research methods has made fundamental and lasting contributions to comparative politics. They challenge other Southeast Asianists to assert proudly the contributions that their work has made and urge the rest of the comparative politics discipline to take these contributions seriously. This symposium includes four short critical reviews of Southeast Asia in Political Science by political scientists representing diverse scholarly traditions. The reviews address both the methodological and the theoretical orientations of the book and are followed by a response from the editors.

scholarly journals The Metaphors of Candidte Philosophy Group Teacher Regarding the Concept of ‘Mind’

2019 ◽  
Vol 8 (1) ◽  
pp. 148
Author(s):  
Ekrem Ziya Duman
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Qualitative Data ◽  
Basic Element ◽  
Research Data ◽  
Data Collection Tool ◽  
Research Designs ◽  
Second Category ◽  
Academic Year ◽  
Qualitative Data Collection

The purpose of the current study was to determine what the metaphors of the candidate philosophy group teachers regarding the concept of mind and understand the related metaphors by means of gathering the metaphors expressed under certain categories. Phenomenology, one of the qualitative research designs, was used in the current study. The working group was made up of the students having pedagogical formation at Gazi University in the academic year of 2017-2018 and the last year students studying Philosophy Group Teaching at Gazi University. In this sense, the study was applied to total 85 people. Qualitative data collection techniques were used in the research. Data collection tool was applied to the participants by the researchers. In this sense, 62 valid metaphors were produced out of 85 candidate teachers. The metaphors produced were gathered under 10 categories as mind as a guide, mind as a basic element, mind as suitability for the purpose, mind as a working and developing structure, mind as a storage, mind as showing the reality, mind as an illuminator, mind as a valuable competence, mind as a limitless competence and the unclassified.In the order of metaphors produced mostly by the candidate philosophy group teachers participating the research, mind as a guide was in the first place at the rate of 17.3%. Mind as a basic element was in the second category with a rate of 16% and it was followed by mind as suitability for the purpose and mind as a working and developing structure with a rate of 12%.

scholarly journals Children’s analysis processes when analysing qualitative research data: a missing piece to the qualitative research puzzle

2017 ◽  
Vol 18 (3) ◽  
pp. 290-306 ◽  
Author(s):  
Jenna K Gillett-Swan
Keyword(s):  
Qualitative Research ◽  
Qualitative Data ◽  
Research Process ◽  
Research Data ◽  
Social Actors ◽  
Analysis Process ◽  
Data Collection And Analysis ◽  
Researching With Children ◽  
Insight Into

Children’s role in the research process is often limited to a passive role as subject, recipient or object of data rather than as active contributor. The sociology of childhood considers children to be competent social actors and advocates for them to be recognised as such. This recognition is yet to filter into mainstream research agendas with children often remaining a passive provider to research that seeks to elicit their perspectives. This article presents an examination of the processes that children use when analysing their own qualitative research data as observed within a qualitative research project. It provides insight into the ability to increase the richness of data obtained when researching with children, by including their perspectives and contributions in the data analysis process. Children’s capacity as capable and competent contributors to research beyond the more passive role of participant is described and the ways that children can have a greater participatory role in qualitative data collection and analysis processes are discussed.

scholarly journals How Data Curation Enables Epistemically Responsible Reuse of Qualitative Data

2021 ◽  
Author(s):  
Sebastian Karcher ◽  
Dessislava Kirilova ◽  
Christiane Pagé ◽  
Nic Weber
Keyword(s):  
Qualitative Research ◽  
Quantitative Research ◽  
Qualitative Data ◽  
Management Practices ◽  
Secondary Analysis ◽  
Research Data ◽  
Data Curation ◽  
Special Issue ◽  
Technological Advances ◽  
Recent Trends

Data sharing and reuse are becoming the norm in quantitative research. At the same time, significant skepticism still accompanies the sharing and reuse of qualitative research data on both ethical and epistemological grounds. Nevertheless, there is growing interest in the reuse of qualitative data, as demonstrated by the range of contributions in this special issue. In this research note, we address epistemological critiques of reusing qualitative data and argue that careful curation of data can enable what we term “epistemologically responsible reuse” of qualitative data. We begin by briefly defining qualitative data and summarizing common epistemological objections to their shareability or usefulness for secondary analysis. We then introduce the concept of curation as enabling epistemologically responsible reuse and a potential way to address such objections. We discuss three recent trends that we believe are enhancing curatorial practices and thus expand the opportunities for responsible reuse: improvements in data management practices among researchers, the development of collaborative curation practices at repositories focused on qualitative data and technological advances that support sharing rich qualitative data. Using three examples of successful reuse of qualitative data, we illustrate the potential of these three trends to further improve the availability of reusable data projects.

scholarly journals The second step in data analysis: Coding qualitative research data

2015 ◽  
Vol 03 (01) ◽  
pp. 007-010 ◽  
Author(s):  
Heather Stuckey
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Data ◽  
Research Question ◽  
A Priori ◽  
Research Data ◽  
Second Step ◽  
Diabetes Research ◽  
Data Dictionary ◽  
Qualitative Researcher

AbstractCoding is a process used in the analysis of qualitative research, which takes time and creativity. Three steps will help facilitate this process:1. Reading through the data and creating a storyline;2. Categorizing the data into codes; and3. Using memos for clarification and interpretation.Remembering the research question or storyline, while coding will help keep the qualitative researcher focused on relevant codes. A data dictionary can be used to define the meaning of the codes and keep the process transparent. Coding is done using either predetermined (a priori) or emergent codes, and most often, a combination of the two. By using memos to help clarify how the researcher is constructing the codes and his/her interpretations, the analysis will be easier to write in the end and have more consistency. This paper describes the process of coding and writing memos in the analysis of qualitative data related to diabetes research.

Writing Across Boundaries: reflections on the place of writing in doctoral research training for social scientists

2010 ◽  
Vol 3 (1) ◽  
pp. 69-91 ◽  
Author(s):  
Bob Simpson ◽  
Robin Humphrey
Keyword(s):  
Qualitative Research ◽  
Social Science ◽  
Research Methods ◽  
Qualitative Data ◽  
Research Training ◽  
Qualitative Research Methods ◽  
Science Writing ◽  
Considerable Effort ◽  
Social Scientists ◽  
Doctoral Research

In the training of doctoral researchers in the use of qualitative research methods, considerable effort goes into preparation for fieldwork and the collection of data. Rather less attention, however, goes into what happens when they have collected their data and begin to make sense of it. In particular, relatively little attention has been paid to the ways in which doctoral researchers might be supported as they begin to write using qualitative data. In this article we report on an inter-disciplinary project that set out to develop research training for qualitative researchers who had completed their fieldwork and were about to embark on writing their theses. An important issue in the delivery of this training was the question of boundaries - disciplinary, academic, technological and personal - and how these might be productively negotiated in the quest for good social science writing.

scholarly journals Qualitative investigation in explainable artificial intelligence: A bit more insight from social science

2021 ◽  
Author(s):  
Adam Johs ◽  
Denise Agosto ◽  
Rosina Weber
Keyword(s):  
Artificial Intelligence ◽  
Qualitative Research ◽  
Social Science ◽  
Qualitative Data ◽  
Research Literature ◽  
User Studies ◽  
Qualitative Investigation ◽  
Explainable Artificial Intelligence ◽  
Methodological Approaches ◽  
Collection Methods

We present a focused analysis of user studies in explainable artificial intelligence (XAI) entailing qualitative investigation. We draw on social science corpora to suggest ways for improving the rigor of studies where XAI researchers use observations, interviews, focus groups, and/or questionnaires to capture qualitative data. We contextualize the presentation of the XAI papers included in our analysis according to the components of rigor described in the qualitative research literature: 1) underlying theories or frameworks, 2) methodological approaches, 3) data collection methods, and 4) data analysis processes. The results of our analysis support calls from others in the XAI community advocating for collaboration with experts from social disciplines to bolster rigor and effectiveness in user studies.

scholarly journals Upaya Guru Pendidikan Pancasila dan Kewarganegaraan Dalam Mengimplementasi Pendidikan Karakter Pada Siswa SMA Negeri 2 Donggo

2019 ◽  
pp. 48
Author(s):  
Sri Rejeki ◽  
Bernadus Iker Willem
Keyword(s):  
Qualitative Research ◽  
Character Education ◽  
Qualitative Data ◽  
Secondary Data ◽  
Research Data ◽  
Family Factors ◽  
Data Sources ◽  
The Subject ◽  
Descriptive Approach ◽  
Secondary Data Sources

Tujuan penelitian ini adalah untuk mengetahui upaya dan kendala-kendala guru pendidikan Pancasila dan Kewarganegaraan dalam mengimplementasikan pendidikan karakter pada siswa SMA Negeri 2 Donggo. Penelitian ini merupakan penelitian kualitatif dengan pendekatan deskriptif. Subyek informasi adalah guru PPKn, Kepala Sekolah, dan Siswa. Teknik pengambilan sampel menggunakan pursposif sampling. Data penelitian diperoleh melalui metode observasi, wawancara, dan dokumentasi. Jenis data berupa data kualitatif. Sumber data yaitu sumber data primer dan sekunder. Analisis data yang dipakai adalah reduksi data, penyajian data, dan verivikasi. Berdasarkan hasil penelitian dapat disimpulkan bahwa upaya guru pendidikan Pancasila dan Kewarganegaraan dalam mengimplementasikan pendidikan karakter pada siswa sudah terlaksana dengan baik. Hal ini terlihat dari pengintegrasian pendidikan karakter oleh guru dalam setiap kali pertemuan melaui mata pelajaran dan di luar mata pelajaran atau partisipasi nyata. Sedangkan  kendala-kendala guru pendidikan Pancasila dan Kewarganegaraan dalam mengimplementasikan pendidikan karakter terhadap siswa yaitu faktor sikap dari siswa, faktor keluarga, dan faktor lingkungan pergaulan. The purpose of this research is to know the effort and constraints civics and Citizenship teachers in implementing character education in students of SMA Negeri 2 Donggo community. This research is qualitative research with a descriptive approach. The subject of the information is PPKn teachers, principals, and students. The technique of sampling using purposive sampling. Research data obtained through the method of observation, interviews, and documentation. The type of data in the form of qualitative data. Data sources, namely primary and secondary data sources. Analysis of the data used is the reduction of the data, the presentation of data, and verify. Based on the results of the study it can be concluded that the efforts of the civics and Citizenship teachers in implementing character education on students have already done well. This is apparent from the integrating character education by teachers in every time the meeting via the subjects and outside subjects or real participation. While constraints civics and Citizenship teachers in implementing character education towards students i.e. students of attitude factors, family factors, and environmental factors in socialization.

scholarly journals Enabling qualitative research data sharing using a natural language processing pipeline for deidentification: moving beyond HIPAA Safe Harbor identifiers

JAMIA Open ◽  
2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Aditi Gupta ◽  
Albert Lai ◽  
Jessica Mozersky ◽  
Xiaoteng Ma ◽  
Heidi Walsh ◽  
...  
Keyword(s):  
Qualitative Research ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Health Research ◽  
Qualitative Data ◽  
Research Data ◽  
Computational Techniques ◽  
Safe Harbor ◽  
Qualitative Health Research

Abstract Objective Sharing health research data is essential for accelerating the translation of research into actionable knowledge that can impact health care services and outcomes. Qualitative health research data are rarely shared due to the challenge of deidentifying text and the potential risks of participant reidentification. Here, we establish and evaluate a framework for deidentifying qualitative research data using automated computational techniques including removal of identifiers that are not considered HIPAA Safe Harbor (HSH) identifiers but are likely to be found in unstructured qualitative data. Materials and Methods We developed and validated a pipeline for deidentifying qualitative research data using automated computational techniques. An in-depth analysis and qualitative review of different types of qualitative health research data were conducted to inform and evaluate the development of a natural language processing (NLP) pipeline using named-entity recognition, pattern matching, dictionary, and regular expression methods to deidentify qualitative texts. Results We collected 2 datasets with 1.2 million words derived from over 400 qualitative research data documents. We created a gold-standard dataset with 280K words (70 files) to evaluate our deidentification pipeline. The majority of identifiers in qualitative data are non-HSH and not captured by existing systems. Our NLP deidentification pipeline had a consistent F1-score of ∼0.90 for both datasets. Conclusion The results of this study demonstrate that NLP methods can be used to identify both HSH identifiers and non-HSH identifiers. Automated tools to assist researchers with the deidentification of qualitative data will be increasingly important given the new National Institutes of Health (NIH) data-sharing mandate.

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