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Greed, Fear & Snobbery: The STM Open Access Licenses

At the beginning of this month the International Association of Science, Technical & Medical Publishers (STM) released a suite of model licenses "for a variety of uses within open access publishing." If that sounds like reinventing the widely used Creative Commons, don't be suckered; it's far worse. Rather than merely wasting our time and trying our patience with superfluous model licenses, STM is promoting licenses that decrease the "commons" and stifle "creative" opportunity. While STM insists that the model licenses will "be complementary to Creative Commons licenses," these "complements" are restrictive in nature. Furthermore, three of the five models are "Full" licenses; only two were written to supplement other licenses.

Last updated by jdodell on 08/16/2014

DPLA’S EMILY GORE AT ILF ANNUAL

Emily Gore of DPLA to present at ILF Annual in Indianapolis.

Emily Gore of DPLA will be participating in an Indiana Library Federation Annual Pre-Conference session, Monday November 17, 9 am-12 pm at Mariott East in Indianapolis. You need not be a member of ILF to attend and we hope to hear from lots of non-library affiliated participants.

The cost is $25 for ILF members and $37.50 for non-members.

To find out more read the Preliminary ILF Program

Register here.

Please share this opportunity widely!

Last updated by klpalmer on 08/15/2014

Flagship journal of the Royal Society of Chemistry to become Open Access

Chemical Science, a journal published by the Royal Society of Chemistry (RSC), will become openly accessible to all beginning January 2015.  In addition, for two years the society will waive all articles processing charges (APCs) for authors.

Read more here

Last updated by esnajdr on 08/08/2014

Topic Modeling: Worth Learning as a Librarian?

Aside from preparing for the onslaught of instruction that will be fall semester, my time lately has been spent exploring topic modeling (I realize that I am somewhat late to the game on this, but it has been on my ‘to do’ list for a while now).  After installing MALLET, a java-based natural language processing package that facilitates topic modeling among other things, reading this helpful tutorial, and seeing evidence of topic modeling’s utility for analyzing large volumes of text, I am intrigued but also somewhat overwhelmed. The further I move away from introductory explanations of topic modeling, like David M.

Last updated by dapolley on 07/25/2014

Sex Sells, If You're Willing to Show A Lot of Skin

book coverTwo of IUPUI's savviest faculty authors, Aaron Carroll and Rachel Vreeman, recently released their third book in a popular, myth-debunking consumer health series. The first two titles did well, but this one will be a big hit--sex sells:

Carroll, Aaron E., and Rachel C. Vreeman. Don't Put That in There!: And 69 Other Sex Myths Debunked. New York: St. Martin's Griffin, 2014.

Last updated by jdodell on 07/18/2014

Crowdsourcing Science

Radiolab is one of my favorite podcasts.  I save them up for long runs.  Jad and Robert’s science-y musings make 10 miles pass in the blink of an eye (well, an hour and half blink-but still).  Typically rooted in the natural (hard) sciences of biology, anatomy, physiology, physics, and astronomy, they also dip into social science often as they relate to their harder friends.  While the show hasn’t yet devoted an entire episode to scholarly communication (insert plug for such show here), many Radiolabs make me think about the state and future of scholarly communication. 

Last updated by klpalmer on 07/15/2014

Research data can be reused in unexpected ways

In addition to his many famous writings, Henry David Thoreau (1817-1862) took careful notes about the natural world around him.  For example, on his daily walks he recorded the exact date when wildflowers of various species bloomed each spring.  Today, biologists are using his notes to investigate long-term changes in the biology of Walden Woods.  For example, in 2008 Biologists at Harvard University published an article in the Proceedings of the National Academy of Sciences about how climate change is impacting the forest where Thoreau lived.  Last year a team of researchers from Boston University published an article in PLoS ONE  which focused on how climate change has caused record-breaking early blooming dates of spring wildflowers.

Last updated by esnajdr on 07/11/2014

IUPUIScholarWorks Quarterly Report, April-June 2014

The second quarter of 2014 is behind us. It's time to tally up the submissions to IUPUIScholarWorks! While working furiously to upgrade our DSpace version (again, version 4 coming soon), we also uploaded a healthy collection of scholarly materials--now free to readers from around the world. Here's what's new for the second quarter of 2014:

Scholarly Articles: 185
Dissertations & Theses: 83
Posters, presentations & other gray literature: 59

That's 327 new items this quarter--bringing our year-to-date total up to 608 items.

Of the items submitted within the last 12 months, the following drew the most web traffic during this quarter:

Last updated by jdodell on 07/03/2014

Catching Up With Past Student Hourly Employees: Annie Pho

Here at the Center for Digital Scholarship we have been lucky to work with some very dedicated, creative, and knowledgeable IUPUI students. These students have played a huge part in the building of our collections through scanning, metadata creation, and even digital photography. Let's find out what some past student workers are doing now!

Last updated by aproctor on 06/25/2014

Networks: How I learned to stop worrying and love the hairball

Do a Google image search for data visualization and undoubtedly you will see many examples of networks, otherwise known as graphs. The identification and study of these networks is useful in a variety of fields from social network analysis in sociology and social informatics to the study of predation networks in ecology. If you can identify connections between groups of entities, then you can study it using some aspect of network theory. However, the visual representations of these networks as graphs are often difficult to interpret. This post intends to shed some light onto the topic of network visualizations.

Essentially, networks are data structures that represent relationships between entities. For example, Author A writes an article with Author B. Obviously in this case the authors are the entities and are connected through their co-authoring relationship.  Graphs consist of nodes (entities) and edges (relationships that connect the entities). We might visually represent the previous example as:

Last updated by dapolley on 06/20/2014