Difference between revisions of "Data"
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Data, is a kind of medium to carry information. The power of utilizing data, especially knowing how to use the minimum amount of space, time, energy resource to represent data, will significantly amplify one's ability to influence decisions or physical consequences in the world. Therefore, the notion of [[ | {{WikiEntry|key=Data|qCode=42848}}, is a kind of medium to carry [[information]]. The power of utilizing data, especially knowing how to use the minimum amount of space, time, energy resource to represent data, will significantly amplify one's ability to influence decisions or physical consequences in the world. Therefore, the notion of [[Dataism]], is becoming a new trend. The important insight of [[Dataism]] is its [[Universal abstraction|Universality]], whose nature can be better understood if one understand how to use [[ordered relation]]s to represent data. | ||
==Critical Observation== | |||
The recent revelation about data is becoming a new kind of science has to do with the fact that data is a form of intentionally manipulable object that can work at all [[scale]]s. The feature of being a [[scale-free]] vehicle to represent any domain of phenomenon or any field of applications without any inherent limitation, has been famously articulated by Eugene Wigner as the [[Paper/The Unreasonable Effectiveness of Mathematics in the Natural Sciences|Unreasonable effectiveness of mathematics]]<ref>{{:Paper/The Unreasonable Effectiveness of Mathematics in the Natural Sciences}}</ref>. This term [[mathematics]] can be synonymous with the term [[data]], because all mathematical ideas are just some form of intentionally manipulable object that could be associated or implicated to any fields of applications, or any domain of phenomenon. This can also be understood as [[Universal abstraction]]. | |||
==Design Principle== | |||
In [[PKC]], all data will be somehow examined or encoded as some form of [[function]]s, and more specifically, the information content of a [[function]] will be universally represented in terms of [[Logic Model]]s. | |||
=Data Science= | |||
To help people better utilize data, the first and foremost thing is to recognize its [[scale-free]] property. Data can be represented using a wide range of symbols and of unlimited kinds of physical medium. This allows data to be stored or transferred through various mediums<ref>{{:Book/Digital Mantras: The Languages of Abstract and Virtual Worlds}}</ref>. | |||
<noinclude> | |||
=References= | |||
<references /> | |||
==Related Pages== | |||
*[[Logically related::Function]] | |||
*[[Logically related::Logic]] | |||
*[[Logically related::Meta Data]] | |||
[[Category:Data Science]] | |||
[[Category:Dataism]] | |||
[[Category:Meta Data]] | |||
</noinclude> | |||
Latest revision as of 16:18, 24 February 2022
Data(Q42848), is a kind of medium to carry information. The power of utilizing data, especially knowing how to use the minimum amount of space, time, energy resource to represent data, will significantly amplify one's ability to influence decisions or physical consequences in the world. Therefore, the notion of Dataism, is becoming a new trend. The important insight of Dataism is its Universality, whose nature can be better understood if one understand how to use ordered relations to represent data.
Critical Observation
The recent revelation about data is becoming a new kind of science has to do with the fact that data is a form of intentionally manipulable object that can work at all scales. The feature of being a scale-free vehicle to represent any domain of phenomenon or any field of applications without any inherent limitation, has been famously articulated by Eugene Wigner as the Unreasonable effectiveness of mathematics[1]. This term mathematics can be synonymous with the term data, because all mathematical ideas are just some form of intentionally manipulable object that could be associated or implicated to any fields of applications, or any domain of phenomenon. This can also be understood as Universal abstraction.
Design Principle
In PKC, all data will be somehow examined or encoded as some form of functions, and more specifically, the information content of a function will be universally represented in terms of Logic Models.
Data Science
To help people better utilize data, the first and foremost thing is to recognize its scale-free property. Data can be represented using a wide range of symbols and of unlimited kinds of physical medium. This allows data to be stored or transferred through various mediums[2].
References
- ↑ Wigner, E. P. (1960). "The unreasonable effectiveness of mathematics in the natural sciences. Richard Courant lecture in mathematical sciences delivered at New York University, May 11, 1959". Communications on Pure and Applied Mathematics. local page. 13: 1–14. Bibcode:1960CPAM...13....1W. doi:10.1002/cpa.3160130102. Archived from the original on 2020-02-12.
- ↑ Holtzman, Steven (August 4, 1995). Digital Mantras: The Languages of Abstract and Virtual. local page: The MIT Press.