Information Management 2.0

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Information about Information Management 2.0

Published on July 31, 2010

Author: gislio

Source: slideshare.net

Description

A presentation I gave as part of a Disaster Leadership course at Tulane University in New Orleans. This presention is about the importance of good information management and how technology, especially social media can play a role.

Information Management 2.0 Gísli Ólafsson Disaster Management Advisor gislio@live.com http://blog.disasterexpert.org Twitter: @gislio

“Information itself is very directly about saving lives. If we take the wrong decisions, make the wrong choices about where we put our money and our effort because our knowledge is poor, we are condemning some of the most deserving to death or destitution.” John Holmes, UN Emergency Relief Coordinator  Importance of Information

Information Economics

Sub OSOCC Airport RDC OSOCC Pakistan 2005

Muzaffarabad

No Reinforced Concrete

Map – Day 1-3

Map – Day 3+

Working Conditions

In most of the twelve clusters established, cluster coordinators continue to struggle without the capacity required to coordinate efficiently the large number of partners involved in the operation. One month into the response, only a few clusters have fully dedicated cluster coordinators, information management focal points and technical support capacity, all of which are basic requirements for the efficient management of a large scale emergency operation. This lack of capacity has meant that several clusters have yet to establish a concise overview of needs and develop coherent response plans, strategies and gap analyses. This is beginning to show and is leading others to doubt our ability to deliver. John Holmes‘ email to Global Cluster Leads

Data Collection Data Collation/ Processing Data Analysis Information Dissemination Decisions Information Management Continuum

The Role of ICT

Issues and limitations Information silos Time zone differences Organizational boundaries Information capture/persistence Lack of efficiency/delays Version control issues Security violations Access issues Etc. Consumersocialnetworks Phone E-mail Fax Face-to-face Messaging How People Work Together Now File shares Paper-based

Connectivity

Big World – Small World

Coordinating the chaos

Normal (routine emergencies) People relate as rolesPeople are the problemOrgs are the solutionDisaster Relate as PeopleOrgs are the problemPeople are the solutionCatastrophe Society breaks downNo relationships – survivalOnly happened a few times (Hiroshima)E=mc2 of disasters

People relate as roles

People are the problem

Orgs are the solution

Relate as People

Orgs are the problem

People are the solution

Society breaks down

No relationships – survival

Only happened a few times (Hiroshima)

Sources of Information

Social Media

Crowds

Open Street Maps in Haiti

DATA VOLUME = # of Forms Collected x Number/Type of Questions x Periodicity (Frequency of data collection) Data Volume

PRIORITIZATION GRAPH FOR DATA COLLECTION IN EMERGENCIES High PRIORITY #1 OPERATIONAL IMPORTANCE PRIORITY #2 PRIORITY #3 Low Easy Medium Hard TIME / EFFORT INVOLVED TO GET DATA Data Collection Prioritization

Data Processing

noise becomes data when it has a cognitive pattern data becomes information when its assembled into a coherent whole which can be related to other information information becomes knowledge when its integrated with other information in a form that is useful for making decisions and determining actions, knowledge becomes understanding when related to other knowledge in a manner useful in anticipating, judging and acting, understanding becomes wisdom when its informed by purpose, ethics, principals, memory and projection Dee Hock, 1996 Why we process information

noise becomes data when it has a cognitive pattern

data becomes information when its assembled into a coherent whole which can be related to other information

information becomes knowledge when its integrated with other information in a form that is useful for making decisions and determining actions,

knowledge becomes understanding when related to other knowledge in a manner useful in anticipating, judging and acting,

understanding becomes wisdom when its informed by purpose, ethics, principals, memory and projection

Information Processing Framework

Project 4636

Dealing With Ambiquity

Swift River

Information Analysis

Situational Analysis

Phase 1 Phase 2 Phase 3 Phase 4 Information Availability Risk Critical Decisions FLASH CERF Review T +2 +14 +28 +60 Days Decision Making

Decisions/Considerations

Information Planning Implement Review Resources Needs Hazards Mandate Situation Access Effective Intervention Operational Plan Briefing Communicating Controlling Feedback Review Decision Making

Situation Reports

3W – Who What Where

OneResponse

Convince partner to share Add value to information Partner sees net benefit Disseminate quickly IM as a value added service

Information Dissemination 2.0

Facilitated Knowledge Management Collaborative Workgroups Social Networks Evolution

Discussion Boards Comments Podcasting Shared Calendars Microblogging Versioning Profiles Document Libraries Team Sites Tags Blogs Task Lists Wikis Surveys Ratings EnterpriseCollaboration Capabilities SocialComputing Technologies DisasterCommunities The Need for Communities

Source: xkcd, http://xkcd.com/386/ Thank You!

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