Case studies
Project context, the data problem, the technical approach and what the resulting system supported, subject to client approval.
Request available case studiesEvidence starts with dependable data.
Your researchers and sport scientists own the question and methods. We build the data structure and collection workflow that carry their work from fieldwork through analysis.
Discuss a research programmeMake the research plan workable.
We translate your study team’s requirements into a practical system for collecting, organising and preparing information.
- 01
Structure the protocol
Map the measures, participants, study periods and operating conditions into a clear data model.
- 02
Support collection
Provide a consistent way to capture and monitor information across the research period.
- 03
Prepare the record
Organise and check the resulting data so researchers can proceed with analysis and communication.
Support from collection to analysis-ready records.
Your research team owns the scientific question and interpretation. We help make the underlying data process consistent, traceable and workable for participants and study staff.
Study data designTranslate measures, time points and participant structure into a clear data model.
Collection systemsBuild accessible tools for field, laboratory or distributed data capture.
Quality controlsApply validation, completeness checks and review workflows during collection.
Analysis preparationProduce documented, structured records for the research team’s analytical process.
Evidence library
Ask for available, approved materials relevant to your work. We will publish individual records here when their release and attribution are cleared.
Whitepapers
Deeper discussion of data structures, analytical practice and the practical limits of evidence in sport.
Request available whitepapersPublications
Research work connected to sports science and data, with full references provided when approved for sharing.
Request the publication listDesigned around responsible data practice.
Research data can involve sensitive personal and performance information. We define technical controls with the study team and the governance requirements of the institution.
Purpose and accessCollect the information the approved work requires and limit access by responsibility.
TraceabilityDocument structures, transformations and quality checks so the record can be understood.
ContinuityKeep the data workflow dependable across study periods, sites and authorised collaborators.
A clear division of work.
Your research team directs the science. We handle the data engineering and system-development work needed to support it.
Your teamDefines the question, protocol, approvals and interpretation of findings.
AmnordTranslates the agreed requirements into a data model, collection workflow, quality checks and usable outputs.
Working togetherAgree access, responsibilities, formats and the practical conditions of collection before development begins.