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Experiments in Data Portability 2
The document discusses experiments in data portability, highlighting interoperability between users, developers, and vendors in social media utilities. It outlines various concepts such as profile importing, social graph discovery, and the use of open standards to improve user experience while acknowledging the complexities of data ownership and its transient nature. The document emphasizes the value of integrating multiple data sources to enhance applications, ultimately advocating for a more user-centric approach to data management.
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Editor's Notes
- #2 I am going to talk about lots of technology some of which you may not of hear of. I have made a extensive list of URLs which I will post with these slidesToday I want to primary look at social media user experience and how it can be enhanced with portable data.
- #3 The birth place of the data portability comes from the frustration of not been able to move friends profile between social network site.
- #6 Problem 1: Give someone your password and at some point they will use abuse it
- #7 Problem 2: I need to be different things to different peopleWe should not underestimate the issue of multiple personas, it is one of the major drivers for privacy We have limited personas system with content mark for friends, family, co-workers, or public
- #8 Privacy is not a crime people want it,Our feeling towards data are changing all the time. I would personally say as a society we are all still very immature about data issues. Although some would wish to you cannot drive social change faster than your audience wants to change
- #9 Clear
- #10 Problem 4: Don’t present me too many options or too few choicesURL’s are too long to rememberDiscovery + selection is the way to go
- #11 Problem 4: The quality or quantity of data imported just is not worth the effortProfiles may not be the best candidate for this try of contact importTalk about amazons address selection feature
- #12 You use feed readers like Google Reader to pull together hundred of data sourcesBut RSS has extended so much other its often used without the user knowledge to created featuresIt built into a vast array of software and devices
- #13 Every one has a different perspective of social media. This is just my conceptual modelConversation – is discourse between users, forums comments. That can be moderated through conversations around the media, direct conversations Utility – is the utility you gain from a site. So flickr allows me to upload and share photo’s.Youtube allows the same for video. Aggregation – Most modern social media site deal in aggregation. The best example of aggregation is Last.fm. Where you give last.fm data about your listing habits and it looks at the frequency and aggregates it chart of the music you like or aggregate your data against others a charts of the groups music tasteToday I will be talking mainly about Utility and Aggregation, that does not mean that don’t think Conversation is important
- #14 You can also splice in many way Pipes
- #15 But what I really love about RSS is its pluggableNot just for use as designers or developers, but for our usersWe can design site where a user can plug in there own data and design there own content experence
- #16 There are many reference to open stack on the webIn general the phase referrers to a collection of open technic which as a collection functionality Here I am talking about the collection of tools I am using to create open specification APIs for data portability
- #17 Demo
- #24 If you go the home page of data portability .org these are the logo you will find.Below is there mission statement. Today I am going to try and give you a real world view of this space.What features we can build now and how do we design the interfaces
- #25 The birth place of the data portability comes from the frustration of not been able to move friends profile between social network site.
- #26 This is Dopplr’spage that helps you find relationship links It parses the your twitter page finding the hCard which represent your friends.It then cross references these all its accounts twitter accounts and finds the intersecting groupAn interesting to note is that the data displayed is from Dropplr’s own databaseSo on twitter Dave Stone has a username builtbydave yet here we see his full name from the DropplrbasebaseAlso his location in Twitter is Brighton, UK.
- #27 So here we see a real mixture of approach to transferring data between different systemsTwitter and Digg are pull public information using hCard, XFN or the more full mixed hCard/XFN patternFacebook and Yahoo - looked like their are using API’s Gmail, Hotmail, AOL – Password anti-pattern
- #29 I wanted to show you more than one example and I am sure out there, but its not commonHere it is not only import the hCard for from Flickr but also offering the option to subscribing to it
- #30 This is not always though of in relation to social network data portability But discovering your other profile on the web can make for a nice user experience