Identity, anonymity & privacy

Data can have real consequences for real people, and often these consequences are as unintended as they are harmful. This is regularly the case when Personally Identifiable Information (PII) is published, or when seemingly innocuous data is mashed and collated with other datasets. These resources provide strategies and tools for protecting identity, providing anonymity and respecting privacy.

Announcing new research on Responsible Data implementation at Oxfam

In 2015, Oxfam was the first international NGO to develop a Responsible Data policy. Two years on, we looked into how Oxfam’s Responsible Data policy is being translated into practice. Read the report here Since adopting the Responsible Data policy, Oxfam has been working towards its implementation by developing practical resources and piloting the policy […]

This resource can help you with: Managing dataSharing Data
Issue areas: Data qualityData re-useIdentity, anonymity & privacyInformed consentPeople’s agency & ownership
This resource was produced in a Responsible Data Forum.

Looking back at 2016 in the Responsible Data community

As the year draws to an end, we’d like to take a moment to celebrate the Responsible Data community, and to take a closer look at all the amazing things that its members have accomplished together this year. Thanks to the Responsible Data community, 2016 has been the year of stimulating dialogue, practical challenges in […]

Social media intelligence, the wayward child of open source intelligence

Would you mind if, every time you post a comment on Twitter, Facebook or another social media platform, the police logged it? I mean, it’s public – surely it’s fair game? If you think that’s OK, then maybe it’s also OK for a police officer to follow you when you walk down a busy street. […]

This resource can help you with: No categories
Issue areas: Identity, anonymity & privacyInformed consentPeople’s agency & ownership
social media intelligence

Responsible Data Concerns with Open Source Intelligence

Open source intelligence (OSINT) is based on publicly available information, both offline and online. OSINT has proven itself to be extremely valuable in a wide range of industries, from business intelligence to investigative journalism and humanitarian relief. Corporations such as Goldman Sachs use publicly sourced market and political intelligence to identify risks, while international NGOs protect their […]

resonsible data open source intelligence osint

Responsible Data Leaks and Whistleblowing

Large data breaches and leaks now regularly affect even the most seemingly well-guarded organisations and institutions. Over the past five years, a higher volume of data has been released to the public than the previous 50 years put together. This wave of leaks and breaches means that media outlets, the public, and political systems need […]

This resource can help you with: Sharing Data
Issue areas: Identity, anonymity & privacy
This resource was produced in a Responsible Data Forum.
responsible data leaks and whistleblowing

Big data, ebola data, + responsible data

For years, disaster and humanitarian response technologists, field agents, and policy makers have been pushing big data as a way to be self-reflexive and open data as a way to break down the silos rife throughout the sector. While folk tend to talk a lot about ethics and responsibility in response and data, we rarely […]

This resource can help you with: Sharing Data
Issue areas: Identity, anonymity & privacy

Summaries and recordings of discussion mini-series on de-identifying data

In response to requests from the community to address questions and challenges around de-identifying data, we hosted an online discussion mini-series on this topic from June to November 2015. While there is a clear understanding of the importance of de-identifying data and the possible harms that can result from questionable practices, there is also confusion […]

This resource can help you with: Sharing Data
Issue areas: Identity, anonymity & privacy
This resource was produced in a Responsible Data Forum.

Summary of our discussion on k-anonymity and other de-identification frameworks

On November 6, we hosted a third RDF online discussion in our de-identifying data discussion series. This discussion was an introduction to k-anonymity and other de-identification frameworks and techniques with Max Shron, founder of Polynumeral. Earlier discussions in the de-identification series introduced us to context, concept and background of de-identification and how it relates to […]

This resource can help you with: Sharing Data
Issue areas: Identity, anonymity & privacy