What Could You Share?
Activity: Storing vs. Sharing
If you haven’t already, play Level 1 in the League of Data game: https://lod.sshopencloud.eu/LodGame/ It helps you distinguish what characteristics go into data storage vs data sharing.Source: SSHOC. (2020). Data Publication Challenge [video game]. Social Sciences and Humanities Open Cloud (SSHOC) League of Data (LOD). https://lod.sshopencloud.eu/
-----------------------
When you’re preparing to share data, it’s not just the measurements spreadsheet or coded interview themes document that you could share. Remember that "data" can be various things—from texts to models to numbers; and that your final analyzed data findings came from an original data version that hasn’t been coded or computationally reduced.
Think about what files could make data usable and interpretable for others, who would either be trying to reproduce your study or trying to use your data for their own research. Think about the unspoken methods and processes that only you could know about as you worked through the data; would a future user of your data need to know these processes? Data is not meaningful right away without explanation.
Here are some ideas for documents you could share in a data repository record:
- Dataset (cleaned)
- Spreadsheet data
- Media: photographs, video, slides, music
- Models and algorithms
- Gene sequences
- Interviews and transcripts
- Neuro-images
- Survey results and test results
- Documentation
- README file
- Data dictionary
- Process/methods documentation
- Supporting files for analysis
- Software and code
- Analysis files (like SPSS)
- Visualizations…
Source
- Office of Science Policy. (n.d.) Research Covered by the 2023 Data Management & Sharing Policy. NIH Scientific Data Sharing. https://sharing.nih.gov/data-management-and-sharing-policy/about-data-management-and-sharing-policy/research-covered-under-the-data-management-sharing-policy#after