Lifebit logo

Customers › Data harmonization

Lupus Research Alliance logo

Case study · Data harmonization

Lifebit runs DREAM, the Lupus Research Alliance’s data platform

Lifebit implements and manages DREAM, the Lupus Research Alliance’s data platform within Lupus Nexus, bringing clinical, patient-reported, and molecular data from US and Canadian sites into one governed environment that the Lupus Research Alliance owns. The data never leaves the source.

705 people with lupus enrolled by March 2026, toward 3,500
24 recruiting sites in the US and Canada
15,452 biospecimens collected
95% of participants retained at 2.5 years
Lupus Research Alliance customer story

01 · The challenge

Scattered lupus data, a new registry in two countries

Lupus data was scattered across small, siloed collections, mostly not built for sharing. The new registry would collect clinical data, patient reports, and samples at sites in two countries, through several lab and technology partners.

Bringing clinical, patient-reported, and molecular data from several partners into one model

Recruiting sites in both the US and Canada

Lupus data scattered across small, siloed collections

02 · What we deployed

DREAM, the Data Repository, Exchange and Analytics platform

Lifebit implements and manages DREAM for researchers and clinicians. In one governed workspace, approved researchers analyze longitudinal clinician- and patient-reported data, linked biospecimens, and raw molecular data, and can bring their own tools. Sano Genetics runs the participant community, Embleema the study data entry, and Azenta the biorepository.

Harmonized to OMOP

Clinical data from the registry’s partners is mapped to OMOP and queried as one cohort.

Tools for every skill level

From spreadsheet-style exploration to Jupyter and RStudio, on the same dataset.

Governed access

Researchers apply to the Lupus Research Alliance through the DREAM researcher portal before they get access.

How it works

From connected data to approved results

1

Clinical, patient-reported, biospecimen, and molecular data from Lupus Nexus partners land in DREAM’s governed researcher workspace.

2

ETL pipelines map clinical data from the registry’s partners to OMOP, so it can be queried as one cohort.

3

Researchers build cohorts and analyze with point-and-click tools, Jupyter, or RStudio; administrators control access, permissions, and costs.

4

Result exports go through Airlock review; people with lupus see their own data in Sano Genetics’ companion portal.

What’s in the stack

Lifebit Platform OMOP CDM ETL pipelines (Lifebit data standardization) Airlock Jupyter and RStudio Sano Genetics participant platform (partner)

Lifebit products used: Trusted Research Environment · Airlock · Trusted Data Factory

03 · The results

One lupus cohort, ready to analyze

Researchers can ask the same question across the full cohort without rebuilding the data each time. DREAM launched in November 2024 as the final part of Lupus Nexus, alongside the Registry, Biorepository, and Quality Management System. In the registry, 37.6% of participants are Black, a group that lupus hits hard and that research has underrepresented. In 2025 the Lupus Research Alliance began the Lupus Nexus Foundational Analyses: whole genome sequencing, RNA sequencing, proteomics, and microbiome profiling of registry samples, with raw and analyzed data flowing into DREAM for approved researchers.

3,500 enrollment target for the Lupus Landmark Study, over five years
4 industry sponsors of Lupus Nexus: Bristol Myers Squibb, GSK, AbbVie, and EMD Serono
37.6% of Lupus Landmark Study participants are Black, a group underrepresented in lupus research

Timeline

June 2023 The Lupus Landmark Study began enrolling adults with lupus in the US and Canada.
April 2024 Lifebit named as the DREAM partner for data organization and the researcher knowledge-exchange portal.
November 2024 Lupus Research Alliance launched DREAM, the final component of Lupus Nexus, implemented and managed by Lifebit.
May 2025 Foundational Analyses began generating whole genome, RNA, proteomics, and microbiome data for DREAM.

About this use case

Data harmonization

Data harmonization turns records collected in different formats, by different labs and partners, into one standard model, so they can be analyzed together. Lupus data is scattered and the disease varies widely between patients, so pooled data is needed to see patterns. The output is one analysis-ready lupus cohort that researchers can query without rebuilding the data each time.

Who uses it here: Lupus researchers and clinicians who apply through the DREAM researcher portal, and the Lupus Research Alliance team who run it.

See how data harmonization works