Learning Data Ethics for Open Data Sharing

What Could You Share?

Activity

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:The NIH defines scientific data as "the recorded factual material commonly accepted in the scientific community as of sufficient quality to validate and replicate research findings, regardless of whether the data are used to support scholarly publications” and excludes “data not necessary for or of sufficient quality to validate and replicate research findings.”
 

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

This page has paths: