data_journalistic_data_collections.xlsx

This is a dataset published prior to a journal contribution.<br>Abstract:Surveys and crowdsourcing projects, data scraping, the use of sensors and other experiments are part of the repertoire of journalistic research methods these days. When journalists collect quantitative data, the question arises whether these datasets must meet scientific quality standards. The key question of this paper is what criteria can be used to measure the quality of journalistic data collections. Therefore, it is essential to ask where this phenomenon is to be located between journalism and science.To answer these questions, a two-stage empirical procedure was chosen, which is based on a classic Delphi design. In open, qualitative interviews, twelve experts have been questioned, whose views were then quantified in a written survey. The perspectives of four different groups of experts were included: data and science journalists were interviewed as well as methodology experts from science and media scientists.As a result, a first catalog of criteria for assessing the quality of journalistic data collections was drawn up. It was also found that these criteria often remain unfulfilled in reality, which is mainly due to a lack of resources and insufficient training of journalists. A possible solution might be to collaborate with scientists.