Data Standards
What are data standards?
Data standards are agreed-upon formats, definitions, and structures for collecting, organizing, storing, and sharing data. In research, data standards ensure that information whether from preclinical studies, clinical trials, or patient information is consistent, interpretable, and usable across different research teams, institutions, and systems.
Why are data standards important?
Standardizing data is essential for improving the quality, reproducibility, and interoperability of research. Without shared standards, valuable data can become fragmented, hard to compare, or even unusable. By developing and promoting data standards, we help accelerate scientific discovery, support regulatory alignment, and make research more collaborative and efficient.
Demographic Forms
What Are Demographics?
Demographic information refers to key characteristics that describe individuals or populations, such as age, sex, gender identity, race, ethnicity, language, education, and other social or cultural factors. These data help researchers understand who is participating in a study and provide essential context for interpreting research findings.
Why Are They Important?
Standardized demographic information supports transparency, comparability, and reproducibility across studies, while also meeting ethical and regulatory requirements for inclusivity. In short, consistent demographic data collection strengthens the quality and impact of research involving human participants.
The Royal Institute of Mental Health Research and the Advanced Research Collaboration for Health Integration, Medical Exploration, and Data Synthesis (ARCHIMEDES) team developed this resource in consultation with domain experts. The form is intended to assist research teams in gathering consistent and comprehensive demographic data when conducting studies involving human participants.
This resource is free to use and adapt to suit the specific context and objectives of individual research studies.
Download the Demographics Form
We have created several options and file formats to allow integrating the form into your project as it best suits your needs.
For questions please contact: [email protected]
Ongoing Work
Scoping Review of Clinical Data Standards in Cardiovascular Research
We are currently conducting a scoping review of clinical data standards in cardiovascular research. This review aims to identify existing standards, gaps, and opportunities for harmonization across datasets and research domains. It will support the development of a shared framework that reflects the real-world needs of researchers and clinicians working in cardiovascular science.
Data Standards Resource Hub
The data standards resource hub provides educational materials and resources to support structured and interoperable health research data.
The Brain Imaging Data Standard (BIDS): An Overview
Guidance on what BIDS is and how it can be applied to research
workflows
Health Data Standards: An Introduction
A broad overview exploring different types of health data standards and terminology in the Canadian clinical and pre-clinical context.
Cardiovascular Data Standards
Practical examples of where data standards can be applied to research data in cardiovascular health.
Link Library
A curated collection of external resources and trusted health data standards libraries.
Interested in standardizing data, or have any suggestions for new training or resources?
If you or your organization are interested in developing or aligning with data standards in research, we’d love to hear from you. Please reach out to us at [email protected].
