In the final week of our internship we’ll make separate blog posts and use our posts to both provide updates about our project and also reflect on the experience of our two month DataONE internship. In the final week of our project, we made additions and edits to the data Continue reading Week 9: Best practices and reflection
In our 8th week, we worked with project mentors to refine our systematic review database and analysis. The main question for our internship was whether a selection of data-aggregation studies could be repeated through repositories available in DataONE. During the preceding weeks we extracted dozens of pieces of data from Continue reading Week 8: Analysis, figures and data citation best practices
Following our refinements to our database of data sources and the lessons of last week, we dove further into the pool of data-synthesis articles we identified previously from NCEAS and Web of Science. Data extraction is (probably) the part of a systematic review that takes the most effort. It is Continue reading Week 4 – Data extraction
The majority of this week’s work was very collaborative, so today’s blog post is also a collaboration. Our main goals for Week #2 of our internship revolved around fine tuning our database for the systematic review. Last week, Rob’s blog post highlighted one way to reduce bias in a systematic Continue reading Week 2 – Revising database, outline methods, begin data extraction
Hi, my name is Rob Crystal-Ornelas and I’m one of the interns for Project #2: Supporting Synthesis Science with DataONE. I’m looking forward to the experience of working on a systematic review with a team of researchers, including my co-intern this summer, Giancarlo Sadoti. This summer, we’ll be working on Continue reading Week 1 – Search terms, identifying articles and literature review