Legal

Personal Data Protection & Privacy Policy

Welcome to the Omicslab bioinformatics data analysis platform, a product operated by VIEOMICS COMPANY LIMITED. We are committed to protecting your personal data and the data you process on the Platform in accordance with Vietnamese law (the Personal Data Protection Law No. 91/2025/QH15, Decree No. 356/2025/ND-CP and the Cybersecurity Law) and international security standards.

Last updated: 12 October 2026

The public Omicslab Platform (cloud) does not accept and does not process non-public sensitive personal data of individuals in Vietnam, including human genomic and health-related data. Such data must not be uploaded to the public Platform; it is supported only through a separate, contracted self-hosted deployment, in which Vieomics provides the Omicslab Platform as the platform management system and the customer performs the full deployment on its own infrastructure and self-hosts it. The service is entirely the customer’s own: the customer runs, configures, operates, analyses, stores and manages the whole stack and the data in its own environment, and no customer data is automatically transmitted from a self-hosted deployment to Vieomics, except where the customer chooses to provide information or authorise access solely for the agreed support and maintenance purposes as described in Section 1. Vieomics may assist with platform operation at the customer’s request, within the agreed service scope, but does not access or analyse the customer’s data. Responsibility for personal data follows the actual processing activities, the access granted, the purposes of processing and applicable law. Publicly available human data is not automatically anonymous: lawfully published or properly de-identified data may be processed on the public Platform only after an assessment of its source, access conditions and privacy risk (see Section 1). The public Platform is otherwise intended for non-human data (microorganisms, plants, animals and environmental samples) and simulated or benchmark data, as described in Section 1.

1. Definitions, Data Processing Roles and Storage Infrastructure

2. Data We Collect & Responsibility Rules by Data Type

3. Public and Benchmark Datasets

4. Legal Bases for Processing

5. How We Use Personal Data

6. Data Retention

7. Data Security Measures

8. Sharing and Transfer of Data

9. Rights of Data Subjects

10. Storage and Data Location

11. Cookies and Identification Technologies

12. Allocation of Responsibility

13. Contact