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213 results for “smroecker”
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In this new paper on data journeys, the authors draw on the concept of domestication to show how data are made usable at sites of reuse:
https://doi.org/10.1177/03063127231212506Based on ethnographic fieldwork at two sites of biomedical research, the authors identify four dimensions to data domestication: storytelling, standardization, formatting and cultivation.
The study stresses the importance of local settings for data work, even in a global data economy. -
This preprint analyses how and why social science datasets are cited.
https://doi.org/10.48550/arXiv.2302.08477The authors developed a typology that covers the entities being referenced, as well as the structure and function of the reference.
They demonstrate that referencing data serves various purposes beyond re-analysis of data, for example providing readers with access to data or supporting empirical arguments.
#DataCitation #DataReuse -
Research data repositories have worked to ensure data quality for decades. They are important infrastructures that enable data sharing and reuse - but what do they mean by "data quality assurance", and what practices have they adopted?
My colleague @Maxi and I from the project re3data COREF have just published the first systematic study on the topic, based on a survey among repository operators.
http://doi.org/10.5334/dsj-2022-018#infrastructureStudies #dataStudies #openScience
Some key findings: