Privacy and Data Protection Principles
OUR DATA PRIVACY & DATA PROTECTION PRINCIPLES
These principles acknowledge standards set out in the revised version of the Guidelines for the Regulation of Computerized Personal Data Files adopted by General Assembly resolution 45/95 on 15 December 1989, and contained in a document E/CN.4/1990/72. The principles are not based on any specific national or regional laws, but draw inspiration from a number of global legal instruments concerning privacy and data protection.
Our principles are intended to help ensure that individuals whose data is used are not adversely affected by our research. Because of the constantly-evolving nature of data protection and privacy law, Global Pulse expects these principles to evolve based on experience, industry developments and the comments of interested parties. We would like to thank all those who provided their valuable commentary during the development of the above principles, and during our ongoing process of reviewing a more detailed set of guidelines.
We welcome and appreciate your feedback and input in helping us improve the principles. For more information on our work related to data protection and privacy, please contact email@example.com.
Data Privacy, Ethics and Protection
Guidance Note on Big Data for Achievement of the SDGs
This document sets out general guidance on data privacy, data protection and data ethics for the United Nations Development Group (UNDG) concerning the use of big data, collected in real time by private sector entities as part of their business offerings, and shared with UNDG members for the purposes of strengthening operational implementation of their programmes to support the achievement of the 2030 Agenda.
The Guidance Note is designed to:
- Establish common principles across UNDG to support the operational use of big data for achievement of the Sustainable Development Goals (SDGs);
- Serve as a risk-management tool taking into account fundamental human rights; and
- Set principles for obtaining, retention, use and quality control for data from the private sector