let’s go with particulars.
Data (/ˈdeɪtə/ day-tə or /ˈdætə/ da-tə, also /ˈdɑːtə/ dah-tə) is a set of values of qualitative or quantitative variables; restated, data are individual pieces of information. Data in computing (or data processing) are represented in a structure that is often tabular (represented by rows and columns), a tree (a set ofnodes with parent-children relationship), or a graph (a set of connected nodes). Data are typically the results of measurements and can be visualised using graphs or images.
Data as an abstract concept can be viewed as the lowest level of abstraction, from which information and then knowledge are derived.
Raw data, i.e., unprocessed data, refers to a collection of numbers, characters and is a relative term; data processing commonly occurs by stages, and the “processed data” from one stage may be considered the “raw data” of the next. Field data refers to raw data that is collected in an uncontrolled in situ environment. Experimental data refers to data that is generated within the context of a scientific investigation by observation and recording.
The word data is the traditional plural form of the now-archaic datum, neuter past participle of the Latin dare, “to give”, hence “something given”. In discussions of problems in geometry, mathematics, engineering, and so on, the terms givens and data are used interchangeably. This usage is the origin of data as a concept in computer science or data processing: data are accepted numbers, words, images, etc.
Data is also increasingly used in humanities (particularly in the growing digital humanities) the highly interpretive nature whereof might oppose the ethos of data as “given”. Peter Checkland introduced the term capta (from the Latin capere, “to take”) to distinguish between an immense number of possible data and a sub-set of them, to which attention is oriented. Johanna Drucker has argued that the humanities affirm knowledge production as “situated, partial, and constitutive” and that using data may therefore introduce assumptions that are counterproductive, for example that phenomena are discrete or observer-independent. The term capta, which emphasizes the act of observation as constitutive, is offered as an alternative to data for visual representations in the humanities.
qualitative, raw, given.
let’s try something different. let’s quit obsessing with data we’ve figured out how to cheat/scam/control.
quality of data (or whatever) matters little if our focus is on the wrong kind of data (or whatever).
let’s use data that matters.. to rewire ourselves to each other.
let’s use self talk.. as our data.
if output matters, input matters
Data, Data, Everywhere, but Who Gets to Interpret It? | EPIC https://t.co/zLXjSk6C2S
Original Tweet: https://twitter.com/FiddleNP/status/595658964232200192
Through this work we realized that there were in fact plenty of people who were interested in getting beyond the canned, fixed representations of data provided by apps makers, but were not necessarily interested in learning statistics or experimental science. As an anthropologist, I began to think about this disinterest as also insistence on re-valuing the situatedness of situated knowledge. That is, it is also a recognition that not all problems can be reduced to matters of scientific or positivist enquiry.[..]visualization tools that surface matters of concern, not matters of fact.[..]I cannot help but wonder how much contextual knowledge is sanitized away by those more comfortable making guesses about what others intended.