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Collecting interview data, often audio and/or video recordings, is a widely used method to generate or validate scientific claims. The issues that researchers deal with when handling interview data are related to this particular data type and are often domain agnostic. This session focusses on practical tips for collecting interview data, as well as for documenting the raw data and keep an overview of the various steps in the workflow while processing the data (e.g. transcription, anonymization). Finally, we will look into the possibilities of archiving interview data while taking into account any appropriate restrictions.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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