My Digital FootPrint

Stephen Shankland writes recently at CNet about Google is becoming an extension of our mind, a digital assistant that figures out what you need and supplies it before you even realize you need it. Like so me he sees the dilemma that excite and spook us. The original article is here How Google is becoming an extension of your mind – worth reading in full along with the comments at the end. ---- Stephen proposes one solution for one aspect of the Google business “ Shifting toward paid services could ensure Google is better motivated to please users rather than exploit their most personal information for the benefits of advertisers.”  This one is neat and would fit with a corporate who bows to the shareholders.  Whilst it is the obvious choice as a move from Free (that is not really free), the alternative could be share some of the income from exploiting my data with me, or indeed enable me to exploit my own data and I’ll share it with you.  Now the later two are the disruptors and

I believe ….. that it is impossible to give users “control” over their data I know ….. that we can give some users some controls over some data my gut ….. thinks users generally don’t care about privacy and I have research that says the do and the don’t my instinct ….. confirms users generally don’t care about their data and I have research that says the do and the don’t my vision ….. says it should not matter if users care or not about data and privacy, I should uphold the highest possible professional and moral standards my issue ….. is that data can be used to manipulate and exploit and that it presented in a wrapper of loyalty and benefits I want ….. to refute/refuse or accept that I am as predictable as my data; after am I not human! my desire ….. is to have a better balance between supply and demand (aka VRM) my problem ….. is regulation, law, directive and power my frustration ….. is that those with lower risk have higher authority and that limits my own personal reac

Source : http://ask.slashdot.org/story/12/07/07/1348205/ask-slashdot-how-do-you-securely-store-private-information-for-posterity The post asks the question "In the event of my untimely demise, my wife and family will need access to all of my private data (email, phone, laptop password, SSN, etc) and financial accounts and passwords (banks, 401(k), mortgage, insurance, etc). What's the best way to securely store all that data knowing the data is somewhat volatile (e.g. password changes) and also that someone else who is not technically savvy will need to access the most up to date version of it? Suggestions include a printed copy in a safe deposit box, an encrypted file, a secure server in the cloud, or maybe a commercial product." At the time of linking there are over 250 responses – amazing insight to a problem area.

Source Martin Pasquier : How to value big data ? Methodological issues and a glance at the future Good blog in summary…. Data needs Method = valuable Data needs Context = information/ knowledge/ insights Data needs safeguards = not sure if it is the data or the access to it Half of the value of data is down to the use/ abuse from the supply side The new half of the value from data comes from demand side (VRM) – you and me publishing intentions.

Source Martin Pasquier : How to value big data ? Methodological issues and a glance at the future Good blog in summary…. Data needs Method = valuable Data needs Context = information/ knowledge/ insights Data needs safeguards = not sure if it is the data or the access to it Half of the value of data is down to the use/ abuse from the supply side The new half of the value from data comes from demand side (VRM) – you and me publishing intentions.

Source Martin Pasquier : How to value big data ? Methodological issues and a glance at the future Good blog in summary…. Data needs Method = valuable Data needs Context = information/ knowledge/ insights Data needs safeguards = not sure if it is the data or the access to it Half of the value of data is down to the use/ abuse from the supply side The new half of the value from data comes from demand side (VRM) – you and me publishing intentions.

Source Martin Pasquier : How to value big data ? Methodological issues and a glance at the future Good blog in summary…. Data needs Method = valuable Data needs Context = information/ knowledge/ insights Data needs safeguards = not sure if it is the data or the access to it Half of the value of data is down to the use/ abuse from the supply side The new half of the value from data comes from demand side (VRM) – you and me publishing intentions.