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Data, Information, Knowledge and Wisdom

Data, Information, Knowledge and Wisdom
From SystemsWiki by Gene Bellinger, Durval Castro, Anthony Mills There is probably no segment of activity in the world attracting as much attention at present as that of knowledge management. Yet as I entered this arena of activity I quickly found there didn't seem to be a wealth of sources that seemed to make sense in terms of defining what knowledge actually was, and how was it differentiated from data, information, and wisdom. What follows is the current level of understanding I have been able to piece together regarding data, information, knowledge, and wisdom. I figured to understand one of them I had to understand all of them. According to Russell Ackoff [1989], a systems theorist and professor of organizational change, the content of the human mind can be classified into five categories: Ackoff indicates that the first four categories relate to the past; they deal with what has been or what is known. A further elaboration of Ackoff's definitions follows: Data... data is raw. Addendum

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virtuallythere - Cognitive Domain dikw We have already made a distinction between learning as a process and learning as a product or learning understood in terms of the outcome the learning process. In this section we are concerned with learning as a product. More specifically, we're concerned with the various components of the cognitive domain. Social Relations & Culture Thing is the "universal collection": the collection which, by definition, contains everything there is. Every individual object, every other collection. Everything that is represented in the Knowledge Base ("KB") and everything that could be represented in the KB. Cyc is designed to support representing any imaginable concept in a form that is immediately compatible with all other representations in the KB, and directly usable by computer software. Intangible Things are things that are not physical -- are not made of, or encoded in, matter.

Information Overload's 2,300-Year-Old History - Ann Blair by Ann Blair | 10:45 AM March 14, 2011 We’re all worried about the costs of information overload and we typically associate these problems with new digital technologies. But actually information overload has very deep roots: signs of information overload were present already in the accumulation of manuscript texts in pre-modern cultures and were further accelerated by the introduction of printing (in the 15th century in the case of Europe). In the Western tradition, complaints about the abundance of books surface in antiquity (in Ecclesiastes 12:12 or Seneca in the 1st century CE). In 1255 the Dominican Vincent of Beauvais articulated eloquently the key ingredients of the feeling of overload which are still with us today: “the multitude of books, the shortness of time and the slipperiness of memory.” In the 15th century, printing rapidly multiplied the number of books available and lowered their cost.

20+ Tools to Create Your Own Infographics A picture is worth a thousand words – based on this, infographics would carry hundreds of thousands of words, yet if you let a reader choose between a full-length 1000-word article and an infographic that needs a few scroll-downs, they’d probably prefer absorbing information straight from the infographic. What’s not to like? Colored charts and illustrations deliver connections better than tables and figures and as users spend time looking back and forth the full infographic, they stay on the site longer. Plus, readers who like what they see are more likely to share visual guides more than articles.

Manage Your Data: Data Management: Subject Guides The MIT Libraries supports the MIT community in the management and curation of research data by providing the following services: Data Management Guide This Data Management and Publishing Guide is a practical self-help guide to the management and curation of research data throughout its life cycle. Journal of Knowledge Management Practice, Understanding Data, Information, Knowledge And Their Inter-Relationships Anthony Liew, Knowledge, Information, and Data are key words and also fundamental concepts in knowledge management, intellectual capital, and organizational learning. This paper includes the reasons for vagueness and confusion commonly associated with those key terms, proposed definitions of the key terms, and two models of their transformations and interactions. Keywords: Knowledge management, intellectual capital, organizational learning, knowledge, data, information

11 Productivity Hacks to Boost Your Mental Focus Making a dent in the universe requires focus. So we've collated 11 simple and easy to use tips on improving your mental concentration. Most of it is a basic stuff that I tried myself, so I selected what got me the best results. What works for me may not work for you but the best way to find out is to keep testing new ideas all the time ( and eventually adopt what works and move on from what doesn't )! Lego Serious Play at CERN, Challenge Based innovation CBi is the latest iteration of an evolving experiment at CERN in Geneva. The CBi acronym stands for “Challenge Based innovation”, and the experiment pulls in students from several countries and multiple disciplines. The Scimpulse Foundation collaborates with CERN since 2013 and in this occasion we facilitate a concept design workshop.

Concept maps or mind maps? the choice What are the differences between mind maps and concept maps? (click to see larger) Sometimes you will have no choice. Data analysis - Wikipedia Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes. Business intelligence covers data analysis that relies heavily on aggregation, focusing on business information. In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA).

dikw « relationary.wordpress.com In an earlier post I created a variation on this ring diagram: I came up with the two lower levels of the ring diagram, reflex and intuition, after having given considerable thought to the Six Hats metaphor: And the Six Rings metaphor: I could see that these hexads revealed two levels that were rarely discussed in the context of Data, Information, Knowledge and Wisdom. I began to wonder how to correctly define them. PsyBlog’s 10 Most Popular Psychological Insights From 2012 How the mind works, the dark side of creativity and how to be a great leader: these and more… Here’s my review of the psychological insights covered here on PsyBlog in 2012 that have proved most popular with you, the readers. 1.

DIKW Pyramid The DIKW Pyramid, also known variously as the "DIKW Hierarchy", "Wisdom Hierarchy", the "Knowledge Hierarchy", the "Information Hierarchy", and the "Knowledge Pyramid",[1] refers loosely to a class of models[2] for representing purported structural and/or functional relationships between data, information, knowledge, and wisdom. "Typically information is defined in terms of data, knowledge in terms of information, and wisdom in terms of knowledge".[1] History[edit] "The presentation of the relationships among data, information, knowledge, and sometimes wisdom in a hierarchical arrangement has been part of the language of information science for many years.

The 18 Best Free Web Tools Chosen By You It’s the start of a new year and that means there’s infinite possibilities that lay before you. But you can’t move forward without arming yourself with the best free web tools and apps. I was perusing some of my favorite education blogs, social networks, and other time-sucking online spots when I came back to the Edublog Awards.

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