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Expand Up @@ -33,6 +33,10 @@ The open research data (ORD) movement within open science has advocated to make

Nevertheless, this document attempts to summarize what indicators can be used to approximate data use in research.

### Connections to Reproducibility Indicators

This indicator focuses on identifying and measuring how data is utilized in research activities, providing insight into its contribution to academic outputs and innovation. In contrast, the [Reuse of Data in Research](https://handbook.pathos-project.eu/indicator_templates/quarto/5_reproducibility/reuse_of_data_in_research.html) examines the extent to which existing datasets are adopted for subsequent studies, emphasizing reusability and reproducibility. Additionally, the [Impact of Open Data in Research](https://handbook.pathos-project.eu/indicator_templates/quarto/5_reproducibility/impact_of_open_data_in_research.html) highlights the broader effects of openly sharing data, fostering transparency, and driving advancements across scientific communities.

## Metrics

### Number (Avg.) of times data is cited/mentioned in publications
Expand Down Expand Up @@ -97,4 +101,4 @@ Based on the data retrieval information from the data repositories one can compi

###### Standardization protocols

To combat the issue of standardization for the tracking of clicks/views/downloads of data use in research The COUNTER Code of Practice for Research Data gives guidance on how to standardize count systems for data use [@codeof]. The guidelines provided by The COUNTER Code of Practice for Research Data can be followed to make inquiries in data retrieval information more comparable among researchers.
To combat the issue of standardization for the tracking of clicks/views/downloads of data use in research The COUNTER Code of Practice for Research Data gives guidance on how to standardize count systems for data use [@codeof]. The guidelines provided by The COUNTER Code of Practice for Research Data can be followed to make inquiries in data retrieval information more comparable among researchers.