% messaging dashboard
% Jonas Smedegaard
% Denmark, December 2012

# 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: <dr@jones.dk>
 * This talk: <http://dr.jones.dk/msg/dashboard/>