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ReUse (or secondary analysis) of qualitative data consists of reworking one or more sets of qualitative data with the purpose of addressing research questions that can differ from those of the initial research project. This method shortens the data collection phase and allows the researcher to focus on data analysis and to think closely about theoretical questions. ReUse may involve unprocessed data or case studies.

Conceptual Overview and Discussion

Even though the method is a common practice when one deals with quantitative data, ReUse of qualitative data is familiar in case study research but has no systematic approach. Nevertheless, several types of ReUse can be distinguished, leading to the identification of potentialities—and the main difficulty, accessibility—of this kind of methodological approach.

Types of ReUse of Qualitative Data

Janet Heaton distinguishes five types of ReUse according to the following two structuring dimensions: (1) purpose of the ReUse with respect to the initial study (new or the same) and (2) one or multiple qualitative data sets. The five types of ReUse are discussed in the following paragraphs.

First, ReAnalysis of qualitative data is conducted on a single set of data or on a unique data source. It consists of replicating the initial research project to verify whether it supports the original interpretations. The results can be confirmed and validated or questioned and refuted. This may allow the researcher to check the robustness of the results of a former study by using new techniques of data analysis.

It is then possible to conduct ReUse by means of the second type, in which the researcher seeks, with one set of data, to treat a new research question, which may consist of a supplementary research question (additional analysis), digging deeper into the initial research question, or by using the third type of ReUse, addressing a new research question (supra-analysis). In the former case, the additional analysis consists of proceeding with a more in-depth analysis of a subset or a singular aspect of the data. In the latter case, the objective is to reintroduce data into a frame that potentially goes beyond the initial analysis.

The last two forms of ReUse consist of simultaneously mobilizing distinct sets of data, or data derived from different research projects. In an amplified analysis, which is the fourth type of reuse, data from different studies on the same topic are crossed in order to observe common and distinct points. There is thus a certain unity in the formulated questions, and the ReUse here takes on the form of a comparative analysis. Finally, in the fifth type of data ReUse, assorted analysis, in which materials from various studies are diverted from the purposes for which they were initially collected to become part of a new research project.

Accessibility

The ReUse of qualitative data addresses ethical questions in part related to the quality/reliability of ReUsed data. However, the main problem is how to access the data.

First, data may come from previous research projects performed by the same researcher. Second, the existence of data collected and processed within a laboratory enables access to those data. These domestic opportunities reduce research costs and limit the control procedures, but the sturdiness of outcomes depends on the transparency. Third, the ReUse of data usually arises out of social interaction among (and the social lives of) researchers, including professional conferences and workshops. Finally, institutional programs aim at permitting direct access to qualitative databases and sharing them among researchers, enabling ReUse on a broad scale (e.g., the Qualidata program in the United Kingdom).

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