
PRIVACY POLICY
This Privacy Policy (the "Privacy Policy") describes how the Weizmann Institute of Science.
("we", "our" or "us") collects, uses, stores, and protects personal data obtained through our
website https://www.project10k.org.il/ and mobile applications (collectively, the "Platform") in
connection with the Human Phenotype Project Israel ("the Study").
1. Introduction. This Privacy Policy details how we manage personal data that will be collected
during your visit and/or use of the Platform, and the choices you can make regarding how this
data will be collected.
What is personal data? "Data" or "personal data" as defined in the Israeli Privacy Protection
Law, 5741-1981 (hereinafter: the "Privacy Protection Law") including data relating to an
identified person or an identifiable person, including by means of an identifying detail such as
name, ID number, biometric identifier, location data, online identifier, or one or more details
relating to a person's physical, health, economic, social or cultural condition.
2. Consent and Updates. You are not under any legal obligation to provide us with your personal
data, and the provision of data is done on your own free will. However, if you decide not to
provide certain data, you may not be able to participate in the Study.
By using the Platform, you agree to the terms of our Privacy Policy, and to any collection,
processing and sharing of your personal data, for the purposes detailed below. If you do not
agree to the terms of this Privacy Policy, please do not enter or make any use of our Platform.
We reserve the right, at our discretion, to change this Privacy Policy at any time.
3. Type of Personal Data Collected that is Directly Provided by You and Purposes of its Use.
We receive or collect data from you in the following ways:
3.1. Personal Identifiable Data and Contact Details. Full name, phone number, email
address, residential address, ID number, driver's license, passport number, date of birth, gender.
3.2. Health-Related Data . Physiological measurements (e.g., blood pressure, BMI, bone
density); Medical history (e.g., chronic diseases, medications); Disease manifestations and
lifestyle-related health data (e.g., smoking, alcohol consumption); Laboratory test results (e.g.,
blood tests, urine and stool analysis).
3.3. Biological Samples: Blood samples (e.g., for genetic and biochemical analysis); Urine and
stool samples; Continuous Glucose Monitoring (CGM) data; Additional samples for microbiome,
proteome, and metabolome analysis.
3.4. Multi-Omics Data: Genomic data (e.g., whole genome sequencing); Proteomic,
metabolomic, transcriptomic, and microbiomic profiles; Immunological profiling (e.g., antibody
repertoire analysis).