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This file contains the list of descriptors defined for the CS Track database and their related analysis.We carried out a study to analyse how data about CS is shared and communicated online. Furthermore, explore how it could be extracted and stored in a central database. Finally, we studied how this data can be used in formal education contexts. We analysed both websites and CS projects information extracted from 72 websites selected. A scientific article was published in the number 74 of the Comunicar journal: Calvera-Isabal, M., Santos, P., Hoppe, H., & Schulten, C. (2023). How to automate the extraction and analysis of information for educational purposes. [Cómo automatizar la extracción y análisis de información sobre ciencia ciudadana con propósitos educativos]. Comunicar, 74. https://doi.org/10.3916/C74-2023-02
metadata standards, citizen science, database
metadata standards, citizen science, database
| selected citations These citations are derived from selected sources. 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 |
| views | 4 | |
| downloads | 2 |

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