Some analysis from the coding and new paper collection from Google Scholar – Week 5

By the last week, I had completed the first round of coding for meta-analysis, and I reviewed the previous coding during this week. For the last two weeks, out team members have discussed the criteria of paper acceptance and mechanisms for data quality assurance. While reviewing the previous coding results, Continue reading Some analysis from the coding and new paper collection from Google Scholar – Week 5

Week 4: The completion of the first cycle of coding

By this week, I have completed the first cycle of coding for the meta-analysis. So far, I have read 55 papers and coded them. There were a lot of lessons to share with other team members such as the criteria of inclusion/exclusion of paper and distinct definitions for each quality Continue reading Week 4: The completion of the first cycle of coding

Developing coding criteria for accetance of papers in meta-analysis

Over the last week, our group has kept on coding the selected papers for the meta-analysis. As we know, meta-analysis is an iterative process for us to make consensus on coding scheme. Thus, it is critical to set a set of rule for coding. As for me, I have coded Continue reading Developing coding criteria for accetance of papers in meta-analysis

Citizen Science Data Gathering : Blog Week #02

For my second week of the internship at the DataONE, I continued meta-analysis by calibrating a sample Excel worksheet for the analysis and reading papers. By communicating through threads of emails, our team shared a variety of ideas to improve the worksheet. As for me, I have read 25 papers Continue reading Citizen Science Data Gathering : Blog Week #02

Citizen Science Data Gathering : Blog Week #01 (by Heejun)

With regard to the summer internship at the DataONE, the general goal of the project 4 is to document citizen participation, data collection procedures, and analysis tasks undertaken by citizens through literature review process. Our team, especially, has more interests in tuning data quality. To make the review and synthesis Continue reading Citizen Science Data Gathering : Blog Week #01 (by Heejun)

Designing a Meta-Analysis for Data Sharing via Open Science Networks

I’m behind in consulting the literature for references to figshare. From participating in the 2013 Walter E. Dean Environmental Information Management Institute, I am aware of a trend in research for using scholarly databases to conduct a “meta analysis.” The book about meta analysis we referenced for the course in Continue reading Designing a Meta-Analysis for Data Sharing via Open Science Networks