knowledge management data information knowledge wisdom

KNOWLEDGE MANAGEMENT DATA INFORMATION KNOWLEDGE WISDOM FREE

The rapid pace in data and knowledge generation, and evolution of DKM solutions, is a stressor for planning, budgets, and staff resources. Unfortunately, DKM systems, whether they are commercial off-the-shelf tools or in-house developed tools, can be costly to acquire, develop, and customize, as well as maintain. The ability to use interoperable terminologies and semantics between systems is a critical requirement to bring together and make effective use of disparate data and knowledge resources. Further, data- and knowledge-driven approaches are integral to fulfilling the NIH mandate for scientific rigor and transparency in the biomedical sciences. The ability to use data- and knowledge-driven approaches is increasingly providing competitive advantage for researchers and is necessary for informed and defensible decision-making. The goals vary across the institute, including enabling data-driven scientific discovery, informing health policies and funding decisions, and informing business operations. The ability to effectively curate, combine, and use scientific and operational data and knowledge resources (e.g., research data sets, databases, knowledge bases, content management systems ) is integral to the goals of each NIEHS division. Data within the DKM may be at any stage of its lifecycle. These systems may also provide critical analytical and visualization capabilities to support research and decision processes. Learning Out Loud is immensely useful to test me on my knowledge, and it engages me in a self-challenge which outcome can only be productive: two articles, a few hours of study, plenty of learning.įrom data to information to knowledge to wisdom.Data and knowledge management (DKM) systems collect, manage, and provide controlled access to data and knowledge resources.

KNOWLEDGE MANAGEMENT DATA INFORMATION KNOWLEDGE WISDOM FREE

If I go back at the improvised take on it, Learning Out Loud: Data, Information, Knowledge, and Wisdom, I am delighted to observe that I did a great job! My free rumbling on the same concepts, without any preparation or research, gave an excellent treatise about data, information, knowledge, and wisdom. Why taking a decision rather than others? When knowledge supports us in generating insights and making more effective decisions, it becomes wisdom. “How?” is the question that knowledge should help in replying. How is information useful for our purpose? if we connect different information pieces by finding new and valuable relationships, we define the “how,” and we move higher to the stage of knowledge. Symbolically we could say that information replies to some of the canonical questions: Who? What? When? Where? What is knowledge? In a hypothetical value ladder, we can think of data as the first stage, the raw building block.īy adding value to data through processing and interpretation, we move to the information stage. In synthesis, we can extract meaningful contextual information we can understand, learn, and know about by processing raw data. What’s the difference between data and information? Information is such because it “inform” people in a context with the final goal of understanding and decision-making.ĭata is the raw material out of which people can extract meaningful information. Information, seen as a group of organized data, could contain and convey a logical meaning. It may be structured, organized through the processing of data. Information is data checked, verified, and validated. It’s data acquiring meaning through a purpose or an intent. In research, data can be of two types: qualitative, when it contains non-numerical data, quantitative when it is given in numbers. It needs to be analyzed and processed to extract meaningful value. It’s plain facts, statistics, observations, notes, symbols.ĭata can be raw, unprocessed, and unorganized.ĭata taken as an individual unit of information without a context might not convey a specific meaning.ĭata is not providing immediate utility to people.

In specific applications, we can make distinctions between the two.ĭata is any piece of information without context nor validation, like numbers or words. Most of the time, data and information are considered synonyms. The initial free-flowing article can be found at: Learning Out Loud: Data, Information, Knowledge, and Wisdom.įollowing, you can find an essay containing my research about the topics in the title. It’s not aimed at being a scientific Tractatus but a way to learn in public. I am first dumping what I know about some topics, and then I compare it with a researched essay. This is the second part of an experiment I am making in the Learning Out Loud movement.

Knowledge management data information knowledge wisdom