An Easy Framework to Organize Complex Data

The holistic and multidimensional nature of anthropological research results in an enormous amount of data, but the problem is how to organize it in such a way as to be useful for identifying complex patterns across different fields. This paper proposes a basic Framework for organizing metadata into categories: Space (where), Time (when), Matter (who and what), and Energy (how), and then separates these into two categories: empirical data and ideational data. This method reduces preconceptions by separating out the tangible evidence from the intangible and allows evidence to be understood and tested from different perspectives.

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Publication Details

Journal
Vilnius University Open Series
Published
2025-03-13
DOI
https://doi.org/10.15388/anthro.2025_7
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

An Easy Framework to Organize Complex Data

Ann Feuerbach
Vilnius University Open Series
Big Data and Business Intelligence
article

An Easy Framework to Organize Complex Data

Ann Feuerbach
article en

Abstract

The holistic and multidimensional nature of anthropological research results in an enormous amount of data, but the problem is how to organize it in such a way as to be useful for identifying complex patterns across different fields. This paper proposes a basic Framework for organizing metadata into categories: Space (where), Time (when), Matter (who and what), and Energy (how), and then separates these into two categories: empirical data and ideational data. This method reduces preconceptions by separating out the tangible evidence from the intangible and allows evidence to be understood and tested from different perspectives.

Vilnius University Open Series
Hofstra University (US)
Openalex Percentile: Top 93%
Big Data and Business Intelligence
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