Overview

• Background - Open standards tools
• Dashboard
• Data
• Enhancing data
• Feeding Dashboards
• Personalizing your dashboard
• Challenges

Background - Custom tools or open standards tools

Background - Custom tools

• Owners can innovate
• Others run behind, maybe innovate bits but on owners' mercy
• Innovation not really needed: incentive is weak
• Leads to stagnating innovation: mono culture

Background - Open standard tools

• Anyone can innovate
• Those innovating lead
• Innovation is power: incentive is high
• Leads to lively innovation

Dashboard

• shows personal "tip of the iceberg"
• needs data already organized (not a magic bullet!)
• proposes sensible grouping of organized data

Data - Types of material

• Articles (blogs, reports, news columns, ...)
• Activities (tweets, presence hints, ...)
• Media (audio/vide recordings, slide compositions, sketches, ...)
• Agents (persons, organisations, ..., robots, crowds?)

Data - Sources

• Open public (and private?) hubs (blog aggregations, ...)
• Closed data silos (Facebook, Google, ...)
• Organizational resources (filesystems, mails, relations, ...)

• Select personal resources (presence, relations, bookmarks, ...)

• ! Understand and embrace the power of copyleft

Data - Interesting stuff

Reasons why something should appear at "top of the iceberg".

• New
• Popular
• Due
• Inspiring
• ...

Data - streams (not pieces)

• Not just the movie web page
• Not just the event behind the movie
• Not just the broker of the movie
• Not just the discussion around the movie
• The channels of web pages, events, brokers, discussions, etc.

Enhancing data

• Semantics often missing, esp. for most local data
• Must be dead convenient
• Be loose - tags not folders, share generously

Enhancing data - tagging

• Pick a tag, and apply to many resources
• Get a batch of suggestions, and approve/reject
• Work fast and sloppy - verify later and collaboratively

Enhancing data - channeling

• Share genereously

Feeding Dashboards

Personalizing your dashboard

Challenges - technical

• Channel into closed data silos (not just get data out!)
• Channel into local data (without loosing privacy!)
• Require least possible tagging (harvest enough automated)
• Reason clever enough on harvested semantics (avoid silly suggestions!)
• Build robust code (not fall into the LAMP or mockup traps)

Challenges - perception

• Closed tools "feel" better (why switch?)
• Closed data silos "feel" supportive (why avoid them?)
• Dashboard "feels" boring (populism is a powerful drug!)
• I "feel" innovative on my own (why share excessively?)

The End - Use the source, Luke

• Me:
• This talk: http://dr.jones.dk/msg/dashboard/