Developing a Data Note reporting guideline for qualitative health and social care research datasets (the DeNOTE study): A study protocol
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View abstract on PubMed
Summary
This summary is machine-generated.Researchers are developing the DeNOTE reporting guideline to improve transparency and data reuse for qualitative health and social care datasets. This guideline will support researchers in creating Data Note articles for qualitative data.
Area Of Science
- Health Services Research
- Qualitative Research Methods
- Data Science
Background
- Data Note articles enhance research transparency and data reuse by detailing openly available datasets.
- Existing reporting guidelines are designed for quantitative data and are unsuitable for qualitative health and social care datasets.
- Qualitative datasets possess unique sensitivities requiring distinct reporting approaches.
Purpose Of The Study
- To outline the protocol for developing the DeNOTE reporting guideline.
- The guideline aims to standardize reporting for Data Note articles on qualitative health and social care datasets.
Main Methods
- A multi-stage approach involving a scoping exercise, expert questionnaires, and workshops.
- Development includes synthesizing reporting items, expert consensus building, and feedback elicitation.
- The protocol is registered with the EQUATOR Network.
Main Results
- The study outlines a systematic protocol for guideline development.
- The process involves iterative refinement based on expert input and feedback.
Conclusions
- The DeNOTE reporting guideline will provide a tailored resource for qualitative health and social care researchers.
- This initiative aims to enhance transparency and facilitate the reuse of qualitative research data.
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