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{"references": ["Buchanan, E. M., Crain, S. E., Cunningham, A. L., Johnson, H. R., Stash, H., Papadatou-Pastou, M., ... & Aczel, B. (2021). Getting started creating data dictionaries: How to create a shareable data set. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920928007. https://doi.org/10.1177/2515245920928007", "Arslan, R. C. (2019). How to automatically document data with the codebook package to facilitate data reuse. Advances in Methods and Practices in Psychological Science, 2(2), 169-187. https://doi.org/10.1177/2515245919838783"]}
Short presentation about codebooks for the EUR Data Coffee Breaks at Erasmus University Rotterdam. Presented April 11 & 24, 2023 (previous version presented May 12 & 23, 2022 at the ESSB Data Coffee Breaks at the Erasmus School for Social and Behavioural Sciences)
descriptive metadata, data dictionaries, research documentation, research data management, codebooks
descriptive metadata, data dictionaries, research documentation, research data management, codebooks
| 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 |
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| downloads | 41 |

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