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DNA data management portal: Development of the tools, features and safeguards to ensure the public can access, understand, manage and share their digital genetic information online securely.

DNA data management portal: Development of the tools, features and safeguards to ensure the public can access, understand, manage and share their digital genetic information online securely.
DNA 数据管理门户:开发工具、功能和保障措施,确保公众能够安全地在线访问、理解、管理和共享其数字遗传信息。
批准号:
105415
负责人:
金额:
$54.92万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

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中文摘要
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英文摘要
"We are Sano Genetics, a leading developer of innovative digital health platforms, focussed on DNA and genetic sequencing and data.As the market for DNA sequencing - both public and private (£19.2bn by 2025;19% CAGR-[Allied Market Research][0]:2017) - continues to grow, as does the volume of personal health data stored. Whilst this opens up new opportunities for drug discovery, providing quicker access to target patient groups and reducing the recruitment cost of medical research it also raises serious concerns in regard to personal privacy, how health data is used, its ownership, and who ultimately has access to it and for how long.With this in mind, there is an urgent need to develop the tools and safeguards to ensure users can access, understand, manage and control who they share their digital genetic information with securely and effectively.Working with Genomics England '100,000 Genomes Project' and big genome data analysts Zetta Genomics, we intend address with the development of a secure, user-centric data management and consent platform for genetic data that put the power to share and ownership of data back in the hands of users, away from the platforms that collect it.[0]: https://www.alliedmarketresearch.com/dna-sequencing-market"
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海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: