Group 1 Data Cleaning and TransformationWhat does it mean to you to "clean" data, and where do you put this data? How do you incorporate and document manual steps? Analyses What are some challenges you've faced, or foresee facing, when it comes to documenting how you've analyzed data? To what extent does a tool, such as Git and GitHub, address these challenges? What are some pros/cons of sharing your analysis code?

Group 1 StorageWhere do you tend to store raw data you've collected? (e.g., personal computer hard disk)locally cloud What are some of the challenges you face when storing your raw data? (e.g., limited capacity) the data isn't always stored in the same placegoogle drive, onedrive, teams, dropbox cybersecurity

Group 1 Data and Meta DataWhat types/forms of data do you each work with? Write as many of these down as you can in a list. (e.g., photos)csv gpx xml timestampshow long it takes to load to run user input user actions

Group 1 MotivationsWhat motivates you to share archival data with others? What are the challenges you might face when attempting to share archival data? Strategy How do you, or would you, go about sharing a dataset? What are some good methods you've used or seen used? What are the merits and drawbacks of institutional support for data archival and sharing? Group 2