To move forward in grappling with those questions, we’ve created this series of Guidelines for Open Data Policies. We intend this more as a “living document” than as model legislation — a menu of options for what can be contained within an open data policy. It provides sample provisional language packed with detailed explanations and use cases, drawn heavily from the important work of our peers in the transparency and open government space.
via Open Data Policy Guidelines – Sunlight Foundation.
The actual guidelines are at http://sunlightfoundation.com/policy/opendata/
I got tired of trying to choose between UDAP and Rdb Notes for keeping track of work-related things.
Welcome to WhirCat
Executable code and supporting data that doesn’t change often, along with software and data that has an operational impact when inadvertently or maliciously altered, should be stored on media that is read-only or volatile (reverts to a known stable image on reboot).
via Self-guarding storage for ultimate server security |Ahead of the Curve | Tom Yager | InfoWorld .
The End of Theory: The Data Deluge Makes the Scientific Method Obsolete
“All models are wrong, but some are useful.”
So proclaimed statistician George Box 30 years ago, and he was right. But what choice did we have? Only models, from cosmological equations to theories of human behavior, seemed to be able to consistently, if imperfectly, explain the world around us. Until now. Today companies like Google, which have grown up in an era of massively abundant data, don’t have to settle for wrong models. Indeed, they don’t have to settle for models at all.