Data-mining

Blog Article/Post Caveat (Read First Please: Click the Link)

What you discover is pretty enlightening when you mine for data without bias and toward growth, understanding and other such good stuff. Data is anything that teaches us something and causes appropriate progressive change in the very concepts of life. To mine for data is to seek out new and interesting data chunks that provide us a trigger toward paradigm change. 

Data, as you can imagine, is a fact or collection of facts and stats that together make a reference or provide toward analysis and synthesis of new concepts. In a philosophical sense data are things known or assumed as facts, always fact check even in philosophy, that make a basis of reasoning and calculation leading to new concepts, perceptions and beliefs. 

Mine or to mine, you probably already know, is to perform processes of obtaining data, in this case, from a data-mine or data repository(ies). Those repositories can be a recording stored in a storage medium like hard drives located in data storage/bank facilities like the cloud. This is digital data. Other media is often in written form as well although written forms include digital writing such as blogs, social media venues, video's both from external sources often transferred to digital repositories like social media, books, periodicals such as magazines and many others. 

When one data-mines a subject or interest if you will they must aggressively seek out at least three, better more if possible, sources of valid accepted chained references that meet standards accepted by one's peers as well as fit into standards of the end fact collections, etc. Often this means some body or collective of experts in a field where one is seeking out data through mining as facts. 

Facts that must be "indisputable to the case in question (reality and actuality and certainty apply)." Information that is and will be used in discussions, written or spoken, of significance of something that is the case.” Information that is or will be used as "evidence" or as "part of a report, story, comment, post, etc., or as a news worthy article, etc.”

Facts that must pass a rigorous investigation in order to verify and validate one's synthesized assertions, beliefs and perceptions. I quote, "Fact checking is the act of checking factual assertions in non-fictional text in order to determine the veracity and correctness of the factual statements in the text. This may be done either before (ante hoc) or after (post hoc) the text has been published or otherwise disseminated." AND "Research on the impact of fact-checking is relatively recent but the existing research suggests that fact-checking does indeed correct misperceptions among citizens (people all), as well as discourage politicians (anyone no matter affiliation; especially through social media, etc.) from spreading misinformation." - https://en.wikipedia.org/wiki/Fact_checking (paran comments added by me)

Data-mining is what any subject, discipline, story or other professed truth should go through to validate and reference materials written or spoken to anyone outside the researcher or when the researcher/fact checker/Data miner uses the material to teach, to validate, to reference work(s) that will be used by others, known and unknown, and through any public media such as the Internet and its Socially driven media digital places like Facebook, blogs, wiki-pages, twitter and others. 

When you write something, fact check it as best as possible, and only when found to be useful … print/publish it. 

Bibliography (Click the link)

Data (Shiryou [資料])

Mining (Saikutsu [採掘])

Data Mining (Shiryo saikutsu [資料採掘])