The “Form” column designates any pre-processing that has been done to prevent the data from being tied to an individual, or to a organization. “De-identified” means the data is no longer able to be determined to belong to a specific individual/individual organization. “Aggregate” means that the data has been aggregated (i.e. averaged, or bucketed), s.t. the data is no longer tied to a single entity, but to a summary of many entities. “Raw” means the entirety of the data, with identifiers, may be “Shared With” entities for the documented “Process”. “Raw” forms of data, unless specified otherwise below, are only shared with Dietitians and Athletes within the Participating Organization.
Data
| Owner
| Form
| Shared With
| Process
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Anthropometry
| Athlete
| Aggregate
| Internal
| Produce aggregate reports across all athletes/teams/leagues who have opted in.
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| Aggregate
| Dietitian
| Produce aggregated progress reports detailing changes in anthropometry w.r.t food logs, compliance and meal plans.
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| Raw
| Dietitan
| Display recent anthropometry entries, intended for use in analysis by dietitians.
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| De-identified
| Internal
| Used internally in algorithms to generate meal plans
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Meal Plans
| Dietitian, Athlete
| De-identified
| Internal
| Used internally in algorithms to generate meal plans. Capture "assigned food frequency" data points, report in aggregate.
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Food Logs
| Athlete
| De-identified
| Internal
| Used internally in algorithms to generate meal plans.
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| Raw
| Dietitian
| Get baseline on an athlete's diet (3 day log or 24hr recall) before building a meal plan. Monitor progress. Perform nutrient analysis.
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| Aggregate
| Internal
| Produce reports detailing progress w.r.t. food intake and body composition. Produce food frequency reports for branded and generic foods.
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Meal Plan Compliance
| Athlete
| Raw
| Dietitian
| Determine which athletes are viewing meal plans, and how often. Quantify level of engagement with plans.
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| Aggregate, De-identified
| Internal
| Maximize athlete's exposure and interaction with dietitian-assigned meal plans, to increase education
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Athlete Food Preferences
| Athlete
| De-identified
| Internal
| Customize restaurant/recipe/snack options in meal plans curated for athlete, allow for more personalized meal planning by dietitian.
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| Used internally in algorithms to generate meal plans
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Gender, age, sport, goals, position
| Athlete
| De-identified
| Internal
| Used internally in algorithms to generate meal plans
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| Raw
| Dietitian
| Used to determine macronutrient requirements in the meal planning process.
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Data
| Owner
| Form
| Shared With
| Process
|
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Athlete Geolocation Data
| Athlete
| Aggregate
| Dietitian
| What menus/recipe lead to the highest meal attendance in the dining facility?
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| Dietitian
| Which dining facilities are used, and at what rates, by student-athletes?
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| Internal
| How often are athletes viewing meal plans on Notemeal's app while in the dining facility? Out of the facility?
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Athlete App Engagement
| Athlete
| Aggregate
| Internal, Dietitian
| How many times has a meal plan been viewed in app by the athlete? How many hours did the athlete spend on the app this week?
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Dietitian App Engagement
| Dietitian
| Aggregate
| Internal, Dietitian
| How many hours did the dietitian spend on the app this week?
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