Months of Data-Cleaning Lag
Storing data in wide flat-files or Entity-Attribute-Value (EAV) layouts forces data analysts to spend weeks or months flattening and transforming sheets before epidemiological analysis can even begin.
LongData is an offline-first, locally hosted platform built natively on a normalized relational architecture. We eliminate data-cleaning latency, remove DevOps maintenance overhead, and ensure absolute data sovereignty for demographic surveillance sites, national health registries, and clinical cohorts in resource-constrained environments.
Longitudinal public health research should be defined by scientific breakthroughs, not endless server troubleshooting. Traditional data tools — such as standard ODK and OpenHDS configurations — place an invisible, heavy burden on global health budgets.
Storing data in wide flat-files or Entity-Attribute-Value (EAV) layouts forces data analysts to spend weeks or months flattening and transforming sheets before epidemiological analysis can even begin.
Multi-dependency frameworks requiring heavy containerization (Docker, Kubernetes, Java environments) frequently fail on local university servers during regional power fluctuations and network outages.
To bypass unstable local hosting, research tracks are routinely forced to migrate sensitive medical records to foreign, dollar-denominated public clouds — triggering continuous capital flight and strict regulatory compliance risks.
LongData deploys 100% locally on secure, campus web servers. Patient and demographic data remains entirely within national borders, ensuring direct compliance with regional privacy frameworks like the Nigeria Data Protection Act (NDPA) without foreign cloud reliance.
Built entirely on a minimal-dependency HTML, PHP, and MySQL stack. The entire environment runs natively on standard, cost-effective infrastructure and can be fully maintained by local institutional IT personnel without specialized systems engineering.
Field teams launch the data collection tool via a simple web browser link on any smartphone. The Progressive Web App (PWA) operates flawlessly offline in remote enumeration areas, executing secure data synchronization once cellular networks re-stabilize.
By enforcing relational table integrity right at the point of field entry, LongData cuts downstream dataset transformation and data-cleaning lag by up to 80%.
The architecture has undergone a rigorous, continuous 24-month longitudinal deployment in Nigeria under the direction of Prof. S. Adedini at Federal University Oye Ekiti. Over a two-year operational window across distributed, low-connectivity field settings, LongData successfully demonstrated zero data synchronization loss, proved completely stable on standard campus hardware, and fundamentally compressed the timeline between data capture and actionable public health analysis.
Read the technical briefTwo formal partnership paths — one for site-level modernization cohorts, one for individual PIs embedding LongData into new grant proposals.
For existing HDSS networks & multi-centric cohorts
LongData is actively assembling a regional cohort of West African research hubs to undergo a fully funded infrastructure modernization. In partnership with global health foundations, multilateral development banks, and pan-African health informatics agencies, we design and submit joint structural grants to transition research nodes away from legacy tech debt.
For individual PIs & active research proposers
Writing a fresh funding application — NIH Fogarty, Wellcome Trust, or Grand Challenges? Partner with LongData as your designated Informatics Technology Subcontractor. We will co-author your research environment methods text, provide our international compliance credentials (including our SAM.gov Unique Entity ID), and cleanly embed our lightweight, high-touch infrastructure into your approved grant budget lines.
Whether you operate a national health registry, an HDSS node, or a single-PI cohort — there is a structured path into the LongData architecture.