Data as Monads: How Digital Data can be Understood as the Sum of the Components in the Process of Locating it

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Standard

Data as Monads : How Digital Data can be Understood as the Sum of the Components in the Process of Locating it. / Madsen, Mette My.

I: Intersections. East European Journal of Society and Politics, Bind 3, Nr. 1, 31.03.2017, s. 15-30.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Madsen, MM 2017, 'Data as Monads: How Digital Data can be Understood as the Sum of the Components in the Process of Locating it', Intersections. East European Journal of Society and Politics, bind 3, nr. 1, s. 15-30. https://doi.org/10.17356/ieejsp.v3i1.284

APA

Madsen, M. M. (2017). Data as Monads: How Digital Data can be Understood as the Sum of the Components in the Process of Locating it. Intersections. East European Journal of Society and Politics, 3(1), 15-30. https://doi.org/10.17356/ieejsp.v3i1.284

Vancouver

Madsen MM. Data as Monads: How Digital Data can be Understood as the Sum of the Components in the Process of Locating it. Intersections. East European Journal of Society and Politics. 2017 mar. 31;3(1):15-30. https://doi.org/10.17356/ieejsp.v3i1.284

Author

Madsen, Mette My. / Data as Monads : How Digital Data can be Understood as the Sum of the Components in the Process of Locating it. I: Intersections. East European Journal of Society and Politics. 2017 ; Bind 3, Nr. 1. s. 15-30.

Bibtex

@article{392038d1e7ce4a9db99bd245c81399f4,
title = "Data as Monads: How Digital Data can be Understood as the Sum of the Components in the Process of Locating it",
abstract = "This article concerns epistemology of data, especially digital data or Big Data. It especially problematizes data understood as something fact-like. The empirical object is a case where researchers from an interdisciplinary collaborative research environment working with Big Data, experienced how banal questions about how to find data led to a journey around problems of competing mathematical models, ethical questions and human agency. Based on the empirical material the article unfolds how data itself can be regarded as inherently contextual, fragile and unstable. This is done analytically by shifting focus from the two most dominant understandings of data within social science: data as something {\textquoteleft}raw{\textquoteright} that can be picked up using the right tools and data as {\textquoteleft}shaped{\textquoteright} by the tools of collection. Instead the article proposes to regard data as monad-like that is as the unstable constellations of components in the process of locating the data.",
keywords = "Faculty of Social Sciences, Big Data, Digital Data, Monads, Interdisciplinary Collaboration, Computational Social Science",
author = "Madsen, {Mette My}",
year = "2017",
month = mar,
day = "31",
doi = "10.17356/ieejsp.v3i1.284",
language = "English",
volume = "3",
pages = "15--30",
journal = "Intersections. East European Journal of Society and Politics",
publisher = "Centre for Social Sciences of the Hungarian Academy of Sciences ",
number = "1",

}

RIS

TY - JOUR

T1 - Data as Monads

T2 - How Digital Data can be Understood as the Sum of the Components in the Process of Locating it

AU - Madsen, Mette My

PY - 2017/3/31

Y1 - 2017/3/31

N2 - This article concerns epistemology of data, especially digital data or Big Data. It especially problematizes data understood as something fact-like. The empirical object is a case where researchers from an interdisciplinary collaborative research environment working with Big Data, experienced how banal questions about how to find data led to a journey around problems of competing mathematical models, ethical questions and human agency. Based on the empirical material the article unfolds how data itself can be regarded as inherently contextual, fragile and unstable. This is done analytically by shifting focus from the two most dominant understandings of data within social science: data as something ‘raw’ that can be picked up using the right tools and data as ‘shaped’ by the tools of collection. Instead the article proposes to regard data as monad-like that is as the unstable constellations of components in the process of locating the data.

AB - This article concerns epistemology of data, especially digital data or Big Data. It especially problematizes data understood as something fact-like. The empirical object is a case where researchers from an interdisciplinary collaborative research environment working with Big Data, experienced how banal questions about how to find data led to a journey around problems of competing mathematical models, ethical questions and human agency. Based on the empirical material the article unfolds how data itself can be regarded as inherently contextual, fragile and unstable. This is done analytically by shifting focus from the two most dominant understandings of data within social science: data as something ‘raw’ that can be picked up using the right tools and data as ‘shaped’ by the tools of collection. Instead the article proposes to regard data as monad-like that is as the unstable constellations of components in the process of locating the data.

KW - Faculty of Social Sciences

KW - Big Data

KW - Digital Data

KW - Monads

KW - Interdisciplinary Collaboration

KW - Computational Social Science

U2 - 10.17356/ieejsp.v3i1.284

DO - 10.17356/ieejsp.v3i1.284

M3 - Journal article

VL - 3

SP - 15

EP - 30

JO - Intersections. East European Journal of Society and Politics

JF - Intersections. East European Journal of Society and Politics

IS - 1

ER -

ID: 178283993