Long Hannah A, Toomey Elaine, Stevenson Fiona, Brooks Joanna M, Stewart Andrew J, French David P
Healthier Futures Research Platform, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Centre for Health Research Methodology, School of Nursing, and Midwifery, University of Galway, Galway, Ireland.
Health Psychol Behav Med. 2025 Jul 21;13(1):2532792. doi: 10.1080/21642850.2025.2532792. eCollection 2025.
Data Note articles describe openly available research datasets. They detail how and why the data were created, with the aim of increasing research transparency and facilitating data reuse. However, existing guidelines and templates for Data Note articles have been designed for quantitative research datasets and are unsuitable for qualitative research datasets. As qualitative health and social care datasets have unique sensitivities, they must be treated and reported differently to quantitative datasets.
To describe the protocol for developing a novel reporting guideline for Data Note articles describing qualitative health and social care datasets (i.e. the DeNOTE reporting guideline).
The DeNOTE study includes (i) a rapid scoping exercise of existing documents and expert knowledge to identify and synthesise relevant reporting 'items' or 'statements' for a Data Note article describing qualitative health and social care data, (ii) an online questionnaire with expert participants to rate their agreement with items identified in (i) and to propose new or amended items, (iii) an online workshop with participants to co-develop the reporting items and reach consensus, (iv) eliciting participant feedback on the draft reporting guideline, and (v) finalising the guideline.
Our plans to develop the DeNOTE reporting guideline are registered on the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) Network. The guideline will support researchers producing Data Note articles describing qualitative health and social care data. We will create a tailored resource to address the needs of qualitative researchers to facilitate transparency and to support data reuse.
数据说明文章描述了公开可用的研究数据集。它们详细说明了数据的创建方式和原因，目的是提高研究透明度并促进数据重用。然而，现有的数据说明文章指南和模板是为定量研究数据集设计的，不适用于定性研究数据集。由于定性健康和社会护理数据集具有独特的敏感性，因此必须以与定量数据集不同的方式进行处理和报告。
描述为描述定性健康和社会护理数据集的数据说明文章制定新的报告指南（即DeNOTE报告指南）的方案。
DeNOTE研究包括：（i）对现有文献和专家知识进行快速范围界定，以识别和综合描述定性健康和社会护理数据的数据说明文章的相关报告“项目”或“陈述”；（ii）向专家参与者发放在线问卷，以评估他们对（i）中确定的项目的认同度，并提出新的或修订的项目；（iii）与参与者举办在线研讨会，共同制定报告项目并达成共识；（iv）征求参与者对报告指南草案的反馈意见；（v）最终确定指南。
我们制定DeNOTE报告指南的计划已在EQUATOR（提高健康研究的质量和透明度）网络上注册。该指南将支持研究人员撰写描述定性健康和社会护理数据的数据说明文章。我们将创建一个量身定制的资源，以满足定性研究人员的需求，促进透明度并支持数据重用。
