Land & Resource Management (L&RM) and other large organizations possess a great wealth in their Geospatial data, information and knowledge assets. The Knowledge, Information, Data (KID) model provides an approach to assist L&RM and other large organizations in leveraging what they already possess. The KID approach flips the common 'data driven decisions' model on its head with a focus first on knowledge as the driver. Data first approaches rely on labor-intensive work of cleaning all data before determining its value. Through focusing first on identification of the unknown, the KID model derives greater value from existing data, improves quality without disrupting production, and enhances operational or adaptive management efforts. It provides a platform for efficient and iterative learning, data maturation toward higher quality decisions, and improved workforce effectiveness. KID is a creative solution to the problems so common in highly federated organizations seeking indicators of success only to produce analyses garbled with uncertainty, redundant or misfit solutions, and miscommunication, drowning in awkward data differentiation (Geo) systems integration, time consuming data calls and data cleansing efforts, and decentralized IT infrastructures impeding collaboration and exploitation --- KID helps find a way past the seemingly daunting future tasks related to extracting value from data.

1. Knowledge,
Information and Data (KID)
The KID Model
An Architecture for Cross Disciplinary Challenges
Jim Barrett, Xentity Corp
September 19, 2018

2. The Challenge
Well known challenges with the way data is currently
managed
• Data silos
• Redundant data
• No knowledge of authoritative source
• Cleansing/using the wrong data
• Non-reproducible efforts

3. So what’s an Organization supposed to do?

4. Why KID? Why Now?

5. Acquire
Data
Data Supply & Value Network Model
Participate
Community of UsersCommunity of Suppliers
Efficiency Measures Effectiveness Measures
ConnectDiscover
Enable
Discovery
Enable
Use
Build
Dataset
Publish
Info
Self-OrganizingNOT Self-Organizing
Stream
Gages
NHDNEDLiDAR
NFIE
(Flood
forecast
)

6. Why KID?

7. Value - KID Model

8. What can this look
like? - KID ModelCDOT

9. What can this look like? - KID Model

10. How to take KID forward?
http://www.xentity.com/presented-knowledge-information-and-data-architecture-
implementations-at-transportation-research-board-annual-meeting-trb/
Key Steps Moving Forward:
• Work to free data from legacy
environments
• Work to get data owners to share
data
• Work to get an environment where
data can be experimented with
• Define a organizational use &
business case to demonstrate solving
recurring cross-org problems