A previous post described how to capture and share conference tweets (+ associated data like retweet count and @ mentions) using Scraperwiki and Viewshare. Going this route is a good one for creating and embedding customized collections of Twitter data on a website or sharing with friends and colleagues. If a more fine grained analysis of Twitter data are needed and different display options would be helpful Martin Hawksey’s Twitter Archiving Google Spreadsheet (TAGS) could be useful.
In contrast to the Scraperwiki and Viewshare combination, TAGS enables more control over what Twitter data are gathered. For example a search for #opendata(return Tweets with #opendata), #opendata and #gis(only return tweets containing #opendata and #gis), or #opendata not #gis(return #opendata tweets without #gis). Having these search options strengthens the ability to hone in on data.
TAGS really shines in the way that it presents data. Automatic data presentation options are included below.
Twitter data are made available in spreadsheet format
An overview of Twitter data collection characteristics is provided
A dashboard illustrates aspects of Twitter data like tweets over time
Twitter data like Retweets and Mentions are represented as a network
A ranked order of hashtags used in Tweets is provided
A searchable archive of the Twitter data collection is generated
Implementing TAGS is a fairly straightforward task made even easier by Stacy Blasiola’s documentation and Martin Hawksey’s video below. Admittedly, there are some tricky steps with respect to Twitter API authentication, but if you stay close to the instructions you should be up and running in no time.
The University Library invites the campus community to a Library Research Showcase from 12:30-4PM on Tuesday, November 19, 2013. Library faculty and academic professionals will present their research, which impacts a wide variety of library services as well as the global LIS profession and other scholarly fields. At the Showcase, you’ll find posters, tech demos, and lightning talks on information seeking behaviors, scholarly communications practices, digital humanities, global libraries and education, the history of libraries as well as sport in Latin America, and more. A welcome and opening remarks by Dean of Libraries John Wilkin and Executive Associate Vice Chancellor for Research Melanie Loots will precede the lightning talks.
Talk Title: Multi-angle Imaging of Earth from Space: Past, Present, and Future Speaker:Dr. Larry Di Girolamo
Remote sensing of Earth by way of orbiting satellites has become one of the leading ways in which we gather information on the geophysical properties of the Earth’s surface and atmosphere. Multi-angle imaging satellite technologies are becoming more popular since they offer superior remote sensing capabilities in retrieving cloud and aerosol properties when compared to traditional single-view instruments. Here, I will provide a brief overview of past, present and future satellite multi-angle imaging instruments, why we continue to need them, and what challenges they bring to GIS.
There is a growing trend among scientific journals to develop policies concerning the manipulation of digital images for publication. Where editorial policies have tended to address issues of human subjects and quality, accessibility and preservation of digital images, more and more emphasis is being placed on addressing the ethical concerns of manipulation.
While policy details vary slightly among journals, there is a consensus that the final image must remain consistent with the original data. Unacceptable manipulations generally include adding to, altering, moving or removing a specific feature of an image. Acceptable manipulations generally include adjustments of contrast, brightness, or color that must be applied to an entire image equally. Often, where figures are assembled from multiple images or non-concurrent portions of the same image, these separate parts must be indicated. In many cases, authors will be asked to list all the tools used for image acquisition and processing, and to document key image-gathering settings and manipulation processes if any. Overall, the general rule of thumb is that the final image for publication must correctly represent the original data and conform to community standards.
Rossner, M. and Yamada, K. (2004). “What’s in a picture? The temptation of image manipulation”. Journal of Cell Biology 166(1):11-15. The Rockefeller University Press, doi: 10.1083/jcb.200406019, http://jcb.rupress.org/content/166/1/11.full
The University Library invites the campus community to join a conversation with Victoria Stodden (Columbia University) on “Opportunities and Challenges for Open Data and Code: Facilitating Reproducibility”.
October 24, 2013 Refreshments at 9:30 Talk and Conversation from 10-11:30 Alice Campbell Alumni Center Ballroom
Known for her research and policy work on open data and reproducible science, Victoria Stodden is an assistant professor of Statistics at Columbia University and with the Columbia University Institute for Data Sciences and Engineering. After pursuing degrees at Stanford in Statistics and Law, her research has focused on the problem of enabling reproducibility in computational science. Victoria has developed the acclaimed “Reproducible Research Standard,” a suite of open licensing recommendations for the dissemination of computational result and is the co-founder of RunMyCode, an “open platform for disseminating the code and data associated with published results, and enabling independent and public cloud-based verification of methods and findings.” She serves on the National Academies of Science Committee on “Responsible Science: Ensuring the Integrity of the Research Process” and on the National Science Foundation’s Advisory Committee on Cyberinfrastructure (ACCI).
Need data that the library does not currently provide? Consider submitting an application to the Data Purchase Program.
The University Library is seeking applications from campus researchers who need numeric or spatial data purchased to support their research. The application deadline for first consideration is October 7, 2013.
In recent years, the library has purchased datasets related to residential property transactions for Chicago and New York City, genomic data on rats, and the geographic location of villages in Himachal Pradesh, India. All purchased data will be made available for general use by the campus community.
Awards will be announced December 1, 2013.
If you have questions about the Data Purchase Program, or have other data needs, such as locating data accessible publicly or through the library’s collections, or using statistical software, contact Karen Hogenboom, Numeric and Spatial Data Librarian, email@example.com, or stop by the Scholarly Commons during Data Services Office Hours, 2-5 Monday through Friday.
Have an interest in digital humanities and curious about the unconference format? Are you looking for potential digital humanities research collaborators? You might consider attending Great Lakes THATCamp 2013. For those unfamiliar – a THATCamp is a conference driven by participants. Participants take part in schedule creation, and there is an expectation that all participants will contribute to the conference by presenting, discussing, and/or collaborating with other participants. The theme of this particular THATCamp centers around the digital humanities and will likely draw participants from a variety of professional contexts such as campus departments, libraries, and archives. This is a great opportunity to learn about digital humanities and share ideas with colleagues working throughout the region.
The event takes place Saturday, September 28, 9:00AM – 4:30PM at Lawrence Technological University.
Have you ever wondered what the Scholarly Commons is? What types of software we have? The types of consultations we can provide? Ever just wanted to stop by to check out the Usability Lab or our main space? Drop by our Open House on October 3 anytime between 1 and 5. We’ll have staff on hand – including some of our partners – to talk about the type of services we provide, and you can take a look at the software and hardware we have available for our users. Light refreshments will also be served.
Of course, if you can’t make the Open House, please feel free to drop by anytime that we are open (M-Th 11-7 and Fri 11-6) or drop us a line at firstname.lastname@example.org.
Colleagues at the ATLAS Statistics/GIS Open Lab have released their Fall service hours and workshop series. The ATLAS workshop series covers ATLAS.ti, ArcGIS, SPSS, Stata, SAS, R, and Questionnaire Design. These workshops are available only to the University of Illinois community and are being offered at no cost.
The ATLAS Statistics/GIS Open lab (2043 Lincoln Hall) is open:
The Scholarly Commons is pleased to partner with the Student Money Management Center (SMMC), a division of USFSCO, to join in the student financial education effort. This partnership builds on preexisting efforts to support student financial literacy by the University of Illinois at Urbana-Champaign Libraries, and is in line with similar efforts made by academic libraries throughout the country.
The SMMC is offering the following events for the University of Illinois at Urbana-Champaign community in the month of September: