Filipino food-data layer
Searchable food records integrating Philippine food-composition data with supplemental sources, source attribution, nutrient values, and household portions where available.
Research collaboration
Build nutrition research on existing Filipino food-data and software infrastructure
Juan Nutrisyon is a working Filipino nutrition-information platform. We are exploring collaborations with researchers who may be able to use or adapt its food data, nutrition interfaces, and software infrastructure for suitable academic studies.
You bring the scientific question and research methodology. We can contribute the technical implementation needed to turn it into a usable digital study, intervention, or research tool.
A platform that already exists
Start with working infrastructure, not a blank development project
A researcher planning a digital nutrition study may otherwise need to commission a website, implement nutrition data, build participant interfaces, add tracking, deploy the system, and maintain it throughout the study. Juan Nutrisyon may provide part of that technical foundation already.
Nutrition-information interfaces
Food pages, nutrient summaries, food comparison, and other interfaces that can be adapted to study how people understand and use nutrition information.
Dietary-recording infrastructure
Existing food-diary and nutrient-computation workflows that may support investigator-defined logging or dietary-research protocols after appropriate adaptation.
Recipe-analysis infrastructure
Ingredient, serving, and recipe nutrient workflows that can support research involving Filipino mixed dishes, subject to clearly documented calculation methods and limitations.
Professional workflow prototype
An early-stage meal-planning tool for Registered Nutritionist-Dietitians that may be used as a prototype or research object in studies of professional nutrition workflows.
Deployed software foundation
Existing authentication, hosting, deployment, analytics, event tracking, and product infrastructure that can reduce the amount of software work needed to begin a study.
Availability, completeness, and methodological suitability vary by component. The requirements of a proposed study would be reviewed before any component is represented as suitable for research use.
Where the platform may fit
Three possible ways to collaborate
Dietary research infrastructure
Adapt food search, household portions, dietary input, source provenance, and nutrient computation to support an investigator-defined dietary-research workflow.
Potential areas
- Dietary recording and food coding
- Household-measure usability
- Localized food coverage
- Dietary-assessment feasibility or validation studies
Digital nutrition experiments and education
Use real Filipino foods and interactive nutrition interfaces to test how different information formats, educational experiences, or digital interventions affect understanding and food decisions.
Potential areas
- Food and nutrition literacy
- Nutrition-label comprehension
- Menu or calorie-label presentation
- Food comparison and consumer choice
- Digital nutrition education
Nutrition informatics and professional tools
Study nutrition-service workflows or adapt existing professional prototypes to test whether purpose-built software can reduce repetitive work or improve the delivery of nutrition services.
Potential areas
- RND workflow and needs assessment
- Meal-planning usability
- Food-exchange workflows
- Nutrition information systems
- Telenutrition or digital service delivery
Starting points
Questions the existing platform could help investigate
These are examples rather than fixed protocols. The research question, measures, methods, and analysis would remain under the research team's direction.
- Does localized nutrition information about Filipino foods improve people's ability to evaluate everyday food choices?
- Does side-by-side nutrient comparison improve food-choice understanding compared with a conventional nutrition table?
- Which formats—per 100 g, per serving, household measure, % Daily Value, or interpretive indicators—are easiest for Filipino users to understand?
- Does better coverage of Filipino foods reduce friction or abandonment in digital dietary recording?
- How usable are household measures compared with gram-based input in a dietary-recording interface?
- Which stages of meal-plan development consume the most time among Filipino RNDs, and can a purpose-built digital workflow reduce that burden?
- How should nutrition information for Filipino mixed dishes and recipes be calculated, communicated, and interpreted?
We are also open to a researcher's existing question where Juan Nutrisyon can remove a meaningful technical barrier.
Complementary roles
Combine research leadership with technical implementation
Researcher or institution
- Scientific question and study design
- Nutrition and subject-matter expertise
- Selection or development of research measures
- Recruitment and research operations
- Statistical and methodological oversight
- Institutional ethics review and governance
- Research personnel or students, where applicable
Juan Nutrisyon
- Software engineering and product design
- Technical scoping and feasibility assessment
- Study-specific interfaces and participant flows
- Implementation of questionnaires or educational modules
- Randomization or experimental variants when required
- Event logging, data capture, and export
- Deployment and technical maintenance during the agreed study period
- Potential productization of useful findings under a separate agreement
The exact responsibilities, data access, authorship, ownership, costs, maintenance period, and publication or productization rights would need to be agreed for each collaboration. This page does not establish those terms.
Adaptable for a protocol
Study features can be scoped around the research question
These features are not all available as off-the-shelf modules today. They represent technically feasible adaptations that can be assessed and built when a suitable study requires them.
- Participant codes or pseudonymous study accounts
- Study-specific cohorts
- Informed-consent and participant-information screens
- Eligibility or baseline questionnaires
- Pre-test and post-test measures
- Configurable educational or intervention modules
- Random assignment and interface variants
- Study-specific event tracking
- Data-quality and completion checks
- CSV or structured-data export
- Role-based researcher access where required
Current status
What has—and has not—been validated
Juan Nutrisyon is an existing nutrition-information and software platform, but it is not currently presented as a validated dietary-assessment instrument, diagnostic tool, or clinical decision-support system.
A collaboration may use existing components as technical infrastructure, adapt them to an investigator-defined method, or study and validate a specific component where appropriate. The evidence required depends on the role the platform plays in the proposed study.
For example, an experimental nutrition-information interface may require content review, software testing, and pilot testing. A component intended to estimate actual dietary intake would require stronger scientific validation for that measurement claim. Nutrient calculations and data transformations should be documented and computationally verified for the protocol in which they are used.
Any study involving human participants would remain subject to the collaborating institution's methodology, ethics-review, privacy, consent, and research-governance requirements.
| Possible role of Juan Nutrisyon | Current implication |
|---|---|
| Experimental interface or study stimulus | Can potentially be adapted; the protocol determines required content review, testing, and piloting. |
| Digital nutrition intervention | Can potentially be studied; prior proof of effectiveness is not assumed. |
| Food coding, calculation, or data-entry infrastructure | May support investigator-defined methods after source documentation and computational verification. |
| Instrument claiming to accurately measure dietary intake | Not currently validated for this claim; a suitable validation study would be required. |
About the project
Built around practical nutrition information for Filipino foods
Juan Nutrisyon is an independent nutrition-information project started in 2024. Its goal is to make food and nutrient information more practical for Filipinos by connecting nutrient data with recognizable foods, servings, and household measures.
The public platform includes food search, nutrition-information pages, food comparison, dietary-recording and recipe-related tools. The project has also developed and tested an early meal-planning prototype with Registered Nutritionist-Dietitians. These existing products provide both technical building blocks and real-world questions that may be useful in research.
Juan Nutrisyon is led by Wern Ancheta, a software developer working across the platform's product design, engineering, data infrastructure, deployment, and ongoing development. Research collaborators would retain leadership over the scientific and nutrition-methodology aspects of a study.
Have a research question that could benefit from this infrastructure?
If your work involves Filipino food data, nutrition information, dietary research, digital nutrition education, consumer food behavior, or professional nutrition workflows, we would be glad to explore whether there is a genuine fit.
You do not need to send a finished proposal. A short note about your research area, the question you are considering, and the part of Juan Nutrisyon that caught your attention is enough to begin.
Discuss a research idea