Responsible

This report provides insights into barriers to diversity in clinical research and practical strategies to address them. It highlights evidence, stakeholder perspectives and actionable recommendations to support more inclusive trial design, engagement and recruitment, helping organisations improve representativeness, build trust with communities and strengthen the quality and relevance of clinical research.

Improving the quality of ethnicity data begins with a clear understanding of how ethnicity is currently recorded across your organisation’s data sets. This plan helps you to identify and interpret gaps in ethnicity data.

The First Nations Information Governance Centre ensures that data gathering is done ethically, and that First Nations communities are empowered to use their data for their needs. The First Nations principles of OCAP® establish how First Nations’ data and information will be collected, protected, used, or shared.

This paper explores the implications of Indigenous data sovereignty and Indigenous data governance for Native nations and others.

CARE principles for Indigenous Data Governance

GIDA has developed a set of rights for Indigenous Peoples’ rights in data.

Complete, detailed and accurate ethnicity data are necessary for clinicians, researchers and policymakers to understand disease outcomes and causes, and to provide insights into the management of care in minority populations. Recommendations towards an ethnicity data collection framework

Tackling underrepresentation of Black people within the health data science sector by providing opportunities to expand knowledge and gain the experience needed to kickstart, or advance, health data science careers.

Easy-read guide to the National Institute for Health and Care Research (NIHR) Impaired Capacity to Consent Framework (INCLUDE) Framework. The aim of the NIHR INCLUDE Framework is to ensure trials are designed to be inclusive of people with impaired capacity to consent, as well as improving the quality of the trial design.

Cancer Research UK data sharing guidelines ensure that data generated is put to maximum use by the cancer research community and is translated to deliver public benefit.

Learn how to integrate sex and gender into biomedical and health research to improve outcomes and equity

Researcher Academy and GENDRO are proud to present this certified course on the Sex and Gender Equity in Research (SAGER) Guidelines, developed in partnership with EASE.

This resource has been developed to support researchers and research advisers to better understand how to embed equality, diversity and inclusion (EDI) in research design and to meet the National Institute for Health and Care Research (NIHR) Research Inclusion requirements.

The HIAT aims to support people to integrate an intersectional equity lens into research, and consider how people with lived experience and policy or practice expertise can help in this process.