You are what you can access: Sharing and collaborative consumption online

Interesting article on sharing and collaborative consumption - unfortunately behind a paywall.
Sharing is a phenomenon as old as humankind, while collaborative consumption and the “sharing economy” are phenomena born of the Internet age. This paper compares sharing and collaborative consumption and finds that both are growing in popularity today. Examples are given and an assessment is made of the reasons for the current growth in these practices and their implications for businesses still using traditional models of sales and ownership. The old wisdom that we are what we own, may need modifying to consider forms of possession and uses that do not involve ownership.

Opening up and sharing

My mantra at the time was ‘Be first, or be forgotten’ – once a few good teachers decide to share their lectures without restriction, it is only a matter of time before the internet is saturated with free knowledge for all. When this happens, and it has, the value of any one teacher’s private content is dramatically decreased, irrespective of whether it subsequently becomes shared or not. But people will remember those who were first, and indeed those pioneers have taken the opportunity to uniquely shape the way scientific teaching evolved.


Jean-Claude Bradley.

Scientists undertake effort to launch video data-sharing library for developmental science

In the largest open-source video-data sharing project of its kind, behavioral researchers, digital library scientists, and computer scientists are undertaking the creation of Databrary, a web-based video-data library sponsored by the National Science Foundation (NSF) and the National Institutes of Health (NIH).
The Databrary project includes not only a web-based repository for open sharing and preservation of video data and associated metadata, but also a free, open source video-coding software, that enables coding, exploring, and analyzing video data. The data management system supports data-sharing within labs, among collaborators, and in the Databrary repository. Read more here.