Toward the end of the journey: coding scheme agreements – Week 9

During the official last week of the DataONE summer internship, I have focused on making agreements on Scopus paper coding results with Yurong and developing a paper draft. With regard to the coding scheme agreements, Yurong converted our previous paper-based coding results to project-based coding results. Among the projects we Continue reading Toward the end of the journey: coding scheme agreements – Week 9

Quality mechnism changes in the eBird project – Week 8

During this week, I have carefully reviewed on how the eBird project has adopted and developed data quality mechanisms in its history. To do this, I have collected 25 papers and read them prudently. Among these papers, I have found 16 papers are relevant and describing quality assurance mechanisms in Continue reading Quality mechnism changes in the eBird project – Week 8

Collecting the list of VGI-related projects and induce their relevant categories – week 7

During this week, I have focused on searching and collecting the list of projects which are relevant to volunteered geographic information (VGI). It was pretty challenging to find any summarized list, probably because the term of VGI had been coined relatively recently in 2007. The VGI sites inventory on VGI-net, Continue reading Collecting the list of VGI-related projects and induce their relevant categories – week 7

Difference between Citizen Science and VGI – Week 6

While collecting the corpus of relevant papers, we could search most papers with key phrases “Data Quality” and “Citizen Science” or “Volunteered Geographic Information”. The term of citizen science is mostly used in natural science-related fields such as biology, ornithology, and ecology, while volunteered geographic information (VGI) is mostly used Continue reading Difference between Citizen Science and VGI – Week 6

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)