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This research-in-progress paper has been accepted to ISSI2023. Please cite as: Ninkov, A., Gregory, K., Ripp, C., Roblin, E., Peters, I., & Haustein, S. (accepted). A survey of researchers on rewarding data citation and reuse. Proceedings of the International Conference on Scientometrics & Informetrics (ISSI 2023), Bloomington, Indiana. Preprint: https://doi.org/10.5281/zenodo.7823626 This research-in-progress paper presents results from the largest known survey (n=2,492) to explicitly investigate data citation and reuse practices among a representative sample of academic authors across academic disciplines. This analysis focuses on participants’ preferences and attitudes towards rewarding their own data work and that by others. The results indicate that assessing the reach and influence of data is important or extremely important for researchers across disciplines. However, there are significant disciplinary differences identified in preferences for recognition and reward of practices regarding research data management, sharing, citation, reuse and assessment. For example, we observe that assessing the reach and influence of both their own and the data of others, as well as getting credit for reusing data, is more important to researchers in Medical and Health Sciences and Agricultural Sciences than other groups. Additionally, researchers from Social Science found it more important to trace a variety of metrics and information about their own data compared to most other disciplines.
scholarly output, data citation, data sharing, academic reward system, data reuse
scholarly output, data citation, data sharing, academic reward system, data reuse
| 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 | 30 |

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