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- W3205107079 abstract "Abstract This article details the novel structure developed to handle, harmonize and document big data for reuse and long-term preservation. ‘ The Longitudinal IntermediaPlus (2014–2016 )’ big data dataset is uniquely rich: it covers an array of German online media extendable to cross-media channels and user information. The metadata file for this dataset, and its documentation, were recently deposited as its own MySQL database called charmstana_sample_14-16.sql ( https://data.gesis.org/sharing/#!Detail/10.7802/2030 ) ( cs 16) and is suitable for generating descriptive statistics. Analogous to the ‘Data View’ in spss , the charmstana_analysis ( ca ) contains the dataset’s numerical values. Both the cs 16 and ca MySQL files are needed to conduct analysis on the full database. The research challenge was to process large-scaled datasets into one longitudinal, big-data data source suitable for academic research, and according to fair principles. The authors review four methodological recommendations that can serve as a framework for solving big-data structuring challenges, using the harmonization software CharmStats." @default.
- W3205107079 created "2021-10-25" @default.
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- W3205107079 date "2021-07-06" @default.
- W3205107079 modified "2023-10-03" @default.
- W3205107079 title "The Longitudinal IntermediaPlus (2014–2016): A Case Study in Structuring Unstructured Big Data" @default.
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- W3205107079 doi "https://doi.org/10.1163/24523666-06010001" @default.
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