Supportive Data Collection

Collecting Data

Supportive Data Collection

In this section we explore how different people may be affected by the data collection process and what steps we can take to ensure this is a positive experience for all.

Introduction

When conducting research, it is important to consider the impact of the data collection process on all those involved. The diverse life experiences and identities that people embody mean that each person will have a different relation to this process.

Data collection can be stressful and negative experiences at this stage can leave researchers, participants, and community groups feeling excluded, undervalued, or misunderstood.

 

Concerns about privacy and data security can add further stress, particularly if individuals are unsure how their information will be used, who will have access to it, or whether they can safely withdraw from the study.

Some examples of these experiences include:

A transparent, open, and supportive research environment helps to address issues that may arise during data collection. This involves not only fostering clear communication and ethical data collection practices but also taking deliberate steps to protect privacy—such as anonymising data, obtaining informed consent, and securely managing sensitive information. By prioritising both inclusivity and privacy, researchers can create a data collection process that ensures participants, researchers, and community groups feel respected and valued throughout the process.

Practical Steps and Tools

Make a list of all the people involved in the research project and the data collection process. Consider their identities and any barriers or risks they may face. Some individuals may have disclosed relevant information that can guide this. You might think about:

Researchers

Research Participants

Community Collaborators

Create a safe and inclusive work environment by ensuring that everyone has completed basic training on equity, diversity, and inclusion, including topics such as:

  • protected characteristics.
  • neurodiversity.
  • microaggressions in the workplace.

Ensure that all team members receive the necessary skills-based training required to carry out their role.

Check in with colleagues and collaborators regularly to ensure everyone is managing well.

Prioritise open communication among all those involved:

  • make the study protocol available and ensure transparency in data collection procedures.
  • consider whether a structured plan for regular communication or updates is needed.

The Inclusive Research Hub section on Building in Accessibility will also be useful to help structure your thinking on the different needs people may have when accessing research.
Refer back to it with your data collection process in mind and think about what changes could be made.

References and Further Resources

A guide to inclusive social research practices, hosted on GOV.UK, has a section which provides further advice on how to undertake inclusive data collection.

The COMET Fieldwork Guidelines aim to facilitate and promote safe, equitable and inclusive research fieldwork for all.

Contribute to the Hub

Feedback helps improve research quality, refine methods, and keep insights relevant and impactful. By sharing their perspectives, users help shape future studies, refine methodologies, and contribute to a more dynamic and collaborative research community.

Contribution Submission

The Hub is a living resource. As such, we welcome critical feedback and contributions of all kinds. In particular, we invite feedback on:

  • Concepts or practices we may have missed or under-explained
  • Our use of language, and how it could be clarified or made more inclusive
  • The organisation and presentation of information and resources

We would especially appreciate suggestions for subject-specific case-studies that are relevant to the various sections of the Hub.

Contextualising Research

Contextualising Research

Forming a Research Question

Forming a Research Question

Designing a Research Project

Designing a Research Project

Collecting Data

Collecting Data

Analysing and Interpreting Data

Analysing and Interpreting Data

Communicating Results

Communicating Results