Lots of reading this week including my favorite “Using photographs to show the effects of climate change on flowering times”1. The photographs in the study were taken from 1900 to 1921 and were used by the authors to show that flowers are blooming earlier in the year. For me it Continue reading How Long Has This Been Going On?
There is a lot to think about at the start of this project. The goals are “measuring interconnections made and the potential for new types of science that may be only now emerging and largely unrealized.” How do we measure the impact of DataONE? How can we predict where “new Continue reading A question of impact
This 3.8 MB poster (which actually exceeds the file size that may be uploaded onto this WordPress open research notebook) was presented at The University of Tennessee’s College of Communication and Information Research Symposium. It is a first public look at some research effort that has been discussed in other Continue reading Early adopters of open research output: a study of the motivations and opinions of Figshare.com users (Poster)
The previous notebook entry concerned mentions of @DataONEorg on Twitter. I established the following: The oldest tweet is from 2 years ago. It is dated July 29, 2012. This tweet is accessible from here: http://topsy.com/s?q=%40DataONEorg&window=a&type=tweet&sort=date&offset=990 The very first re-tweet of @DataONEorg was March 15, 2011. This was 5 months after Continue reading Harvesting @DataONEorg Twitter Mentions via Topsy
In a previous post I realized the need to do a systematic review of literature to determine prevalence of the use of figshare, both in terms of citation and in terms of actual studies of an open science platform such as figshare. To start with, I need to determine what Continue reading Designing a Systematic Review Assessing Prevalence of Open Science Data Sharing
In earlier post I mentioned that I would like to look at positive sentiments such as “I like @figshare” or “I prefer @figshare” or “I use @figshare” across twitter. A quick Web search on Google for “archive of past tweets” (without quotes) brought my attention to this September 4, 2013 article on Mashable: Continue reading #OpenScience Sentiment Analysis via Twitter Data