2015
DOI: 10.1080/13614576.2015.1110404
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Preserving the Essence: Identifying the Significant Properties of Social Science Research Data

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Cited by 3 publications
(3 citation statements)
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“…Because an instrument can be kept for many years, electronically generated music has diverse supports that need to be maintained for content later. In most cases, the extraction of music from its original format, known as migration, can result in losing some significant properties (Recker and Müller 2015). For instance, if the files of a dataset of bird sounds in tropical forest are altered (Ulloa et al 2016), this means changes in significant properties.…”
Section: Digital Preservation Of Datasets In a Special Collectionmentioning
confidence: 99%
“…Because an instrument can be kept for many years, electronically generated music has diverse supports that need to be maintained for content later. In most cases, the extraction of music from its original format, known as migration, can result in losing some significant properties (Recker and Müller 2015). For instance, if the files of a dataset of bird sounds in tropical forest are altered (Ulloa et al 2016), this means changes in significant properties.…”
Section: Digital Preservation Of Datasets In a Special Collectionmentioning
confidence: 99%
“…Its accessibility and understandability depend on storage media, hard-and software environments and formats. In order to preserve digital objects such as the desired documentation of a data collection process for the long term, they need to be constantly altered and, for example, file formats require constant updating (Recker and Mu¨ller, 2015). Archives ensure long-term preservation in a continuous process of data curation.…”
Section: Sharing For Reproducibility In Specialized Archivesmentioning
confidence: 99%
“…Required information about the social science research process includes how, when and why data was created and details of how it was processed and analyzed. In the case of survey data intended to be preserved for re-use by quantitative social scientists who want to test hypotheses, it is required that contextual information such as the composition of the target population and the selection of respondents is preserved as well as the data itself (Recker and Mu¨ller, 2015). When archiving a geotagged Twitter dataset, we are addressing a different target audience, namely computational social scientists as well as other social media researchers; a different type of data, namely geotagged Twitter data; and potentially more diverse methodologies that we need to make allowances for.…”
Section: Current Approaches To Sharing Datasets Collected From Twittermentioning
confidence: 99%