This past week was spent creating and editing the graphics for the paper – I dove head first into the world of ggplot and was pleasantly surprised at how easy it was to work with. One type of graph – the initial timelines graph – was almost impossible to create Continue reading Week Nine: Drafting the Write-up
During the last week I finished running the last of the correlation and regression tests, and we determined which tests made the most sense to include in the write-up. We’ve come up with a layout for our write-up, and starting last week and into this week, I’ll be putting together Continue reading Week Eight: Impact Results Write-up
I’ve reviewed and edited the Literature Review from the first weeks of my project, and am currently still running some tests on the data. Or main finding right now is that there just doesn’t seem to be enough data usage to find any significance among the daily variance in downloads and Continue reading Week Seven: Evaluating our Analysese
After a time difference mix-up on my part, I missed our weekly check-in meeting so I was unable to finish all of the tests as I had hoped to. I think, though, that I only have 2-3 more tests maximum before I can begin to summarize the data. The final Continue reading Week Six: Test Summaries
Last week, I received a few further MN to act as control groups in our study. These MN had at least 3 months of data prior to joining DataONE. I ran regressions on them and will compare them to our study group this coming week. I also changed from a Continue reading Week Five: Addition of a Control Group
This past week was spent solely on the statistical analysis of the user data from 6 member nodes. Due to the staggered start of all of the Member Nodes, we had to restrict our sample size from all thirty MN to just 6 that fit our sampling criteria – the criteria Continue reading Week Four: Further Analyses and Results
Week Three consisted of finishing up a working draft of the Literature Review and putting it on hold while we began the statistical analysis. First, I had prepared for the analysis in Excel, creating a timeline of each Member Node, and the important dates we’ll need for our sampling windows. Continue reading Week Three: Statistical Analysis of User Data
This week I continued to work on the literature review, this time focusing on metric driven papers. While some primary research papers found statistical significance between data sharing and increased citation rates, a literature review of multiple primary papers noted that confounding effects were not taken into account — such Continue reading Week Two: Lit Review & Data Collection
After meeting with my mentors (Amber Budden and Heather Soyka) on May 20, week one work was broken into two components (1) Begin a lit review on the benefits of data sharing and (2) Create a summary table of DataONE Member Nodes. (1) The initial lit review revealed a lot of Continue reading Week One: Beginning the look at Impact