Week 11: Building Knowledge.

LECTURE:

Data information and knowledge.

Datum is a fact or propostition.
Characteristics of data:
* factual
* non-judgmental
* non-inferential
* transient
* has no intrinsic "meaning"
* has no intrinsic "value"
eg. sampled data: price, shares, exchange rates.
measured data: weather, census data.

Charactersitics of information:
* summative
* relational
* dimensional
* permanent
* has meaning
* uncertain value
eg. almanacs, tables of census data, budgets.

Charactersitics of knowledge:
* inferential
* experiential
* judgmental
* subjective
* very valuable
eg. white pages, press releases, marketing strategies.

TUTORIAL:

DEFINITIONS:

DATA: individual facts, statistics, or items of information.
INFORMATION: knowledge communicated or received concerning a particular fact or circumstance.
KNOWLEDGE: acquaintance with facts, truths, or principles, as from study or investigation; general erudition.
WISDOM: the quality or state of being wise; knowledge of what is true or right coupled with just judgment as to action.

How can the understanding of the relationship between data, information and knowledge assist my university study?

Data refers to the research phase of my assignment. Here I can establish what I'm looking for.
Information refers to the building phase of my assignment. This will allow me to draw conclusions at the end.
Knowledge relates to the composition phase of your assignment. I am able to interpret the data and information and begin to develop my own understanding or knowledge of the topic.

List organizations that collect information from their clients or the public. Why do they collect this information?

Information, often in the form of facts or figures obtained from experiments or surveys, can be used as a basis for making calculations or drawing conclusions
information. Examples would include census.

READING 1: "Data, Information, Knowledge, and Wisdom" from
http://www.systems-thinking.org/dikw/dikw.htm

This reading repeats everything that has been discussed during the lecture about data, information and knowledge. It shows the relationships between all three of them in a diagram.

READING 2: "Data, Information, Knowledge, and Wisdom" from http://otec.uoregon.edu/data-wisdom.htm

The reading had a very interesting graph that shows the relationship between learning/experience and the yield (intellectual dividends per measure of effort)