Processed data files
Last updated on 2026-10-20 | Edit this page
Estimated time: 5 minutes
Overview
Questions
- How do I add the processed data to my publication package?
Objectives
- Add the processed data files to your publication package
- Apply best practices for file and variable names and file formats

Infographic snippet:
Provide data (either raw or processed) that were eventually analysed
when preparing the article (e.g. a data file after transforming
variables, after applying selection, etc.). If the raw data was analysed
directly, step 3 suffices
Steps to take
- You need to provide the data files that were eventually analysed when preparing the article. Examples are the data file after transforming variables and after applying selections. This means that in this step you should provide the outcome file from the two previous steps: the result of the preprocessing of the raw data.
- If the raw data file was directly analysed, you do not need to provide any extra files in this step.
- Make sure all files are saved in a sustainable
file format such as .csv, and that the files are properly
named). Save the files in the
datafolder. - In the case that you are working with qualitative data such as transcripts, please note that given the richness of detail in qualitative interview data, it should not be considered anonymised but rather, pseudonymised. Because qualitative data often is contextual, you can’t promise to remove the indirect identifiers. When it comes to sharing this type of data, one option would be to ask your participants if you can share (parts of) the pseudonomised transcripts. Alternatively, you can consider sharing the data in a more redacted / summarised form. See below for some useful links.
Example file
EUR prublication package example
See the safi_processed-for-plotting.csv file in the
data_output folder from the EUR
publication package example repository on Zenodo:
#####
Other examples
-
Summary of interviews
- Hazejager (2025) shared a summary of the interviews as supplement to the RECHARGE - Recommendations for Sustainable Collaboration poster on Zeonodo.
Useful links
- Making Qualitative Data Reusable by DANS
- Sharing qualitative research data and materials by the EUR data stewards