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With momentum behind the connected car gathering across the globe, we're looking at one of the most discussed topics : the data generated by connected cars, and more specifically who owns it.

Wearable technology's evolution is not about the gadget on the wrist but what is done with the data they collect, says computational biologist

"Health select committee member Sarah Wollaston queries how data was secured by PA Consulting and uploaded to servers outside UK"

A manifesto for Data Literacy in the scope of what the BBC should be doing

" Documenting design patterns for personal data sharing, example uses and research. Work in progress. "

Kromtech Security Researchers have discovered another publically accessible Amazon S3 repository. This time it contained medical data in 316,363 PDF reports in the form of weekly blood test results. Many of these were multiple reports on individual patients. It appears that each patient had weekly test results totaling around 20 files each. That would still be an estimated 150,000+ people affected by the leak.

The blind application of machine learning runs the risk of amplifying biases present in data. Such a danger is facing us with word embedding, a popular framework to represent text data as vectors which has been used in many machine learning and natural language processing tasks. We show that even word embeddings trained on Google News articles exhibit female/male gender stereotypes to a disturbing extent. This raises concerns because their widespread use, as we describe, often tends to amplify these biases. Geometrically, gender bias is first shown to be captured by a direction in the word embedding. Second, gender neutral words are shown to be linearly separable from gender definition words in the word embedding. Using these properties, we provide a methodology for modifying an embedding to remove gender stereotypes, such as the association between between the words receptionist and female, while maintaining desired associations such as between the words queen and female. We define metrics to quantify both direct and indirect gender biases in embeddings, and develop algorithms to "debias" the embedding. Using crowd-worker evaluation as well as standard benchmarks, we empirically demonstrate that our algorithms significantly reduce gender bias in embeddings while preserving the its useful properties such as the ability to cluster related concepts and to solve analogy tasks. The resulting embeddings can be used in applications without amplifying gender bias.

Twitter archives are a rich source of data for doing research into numerous things: Learning about social media and interaction networks, gaining insights into movement patterns based on geolocations and even doing sentiment analysis based on the tweets. And the best part of it: Unless you have a protected Twitter account this data is already public. So why not share it? The TwArχiv takes in your Twitter archive and generates interesting visualizations from your own tweets, including tweet volume over time and your interaction/movement patterns.

"Over the past couple of years, Roombas haven't just been picking up dust and chauffeuring cats around, they've also been mapping the layout of your home. Now, Colin Angle, the chief executive of Roomba maker iRobot, has said he wants to sell the data from these maps in order to improve the future of smart home technology."

"Android phones gather your location data and send it to Google, even if you've turned off location services and don't have a SIM card"

"It's time you put your data to work for you, not them. Mozilla Rally gives you the power to donate your data to research studies that are designed to build new resources, tools, and potentially even policies that empower people just like you to build a better internet and fight back against exploitative tech."

"webxray is a tool for analyzing third-party content on webpages and identifying the companies which collect user data. A command line user interface makes webxray easy to use for non-programmers, and those with advanced needs may analyze millions of pages with proper configuration. webxray is a professional tool designed for academic research, and may be used by privacy compliance officers, regulators, and those who are generally curious about hidden data flows on the web."

"User Data Cloud 3Box makes it simple to store data securely with your users, letting you focus on building great products. #BuildBetter"

"The BBC's R&D team has built experimental systems that pull in data from Netflix and Spotify. The goal? More personalisation "

"Personalisation is no longer reserved for commercial parties like Spotify and Netflix. For the last few years public services have hopped on this trend, but the BBC is now taking the lead by creating a central open-source recommendation and data control service called My PDS. "

Michel Bauwens' Data ownership library on diigo

It sounds innocent enough. But users are growing suspicious of the app's whimsical, canned questions, many of which read like a marketing survey.

Databox project is a new £1.5M EPSRC project led by Dr. Hamed Haddadi (QMUL) in collaboration with Dr. Richard Mortier (University of Cambridge) and Professors Derek McAuley, Tom Rodden, and Andy Crabtree (University of Nottingham) who will explore the development of the Databox as means of enhancing accountability and giving individuals control over the use of their personal data.

House of Commons report on data ethics in 2014

"We live in the social mobile era, where we all collect and share vast amounts of data about ourselves and others. "