dapolley's blog http://ulib.iupui.edu/blogs/dapolley * Mission To promote excellence in learning * To serve as a gateway to information vital for research and scholarship * To create unique scholarly resources with an emphasis on philanthropic studies, IUPUI generated research, and materials relating to central Indiana * To enhance the availability of scholarly information for the residents of central Indiana en Open Access Scholarship and Open Government Information: Two Sides of the Same Coin http://ulib.iupui.edu/node/97788 <p>As <a href="http://www.sunshineweek.org/">Sunshine Week</a> comes to a close, I cannot help but think about the similarities between open access to scholarly information and the push for increased transparency in our government. I am certainly not the first person to draw parallels between the two, but the conversion usually focuses on public access plans for federally-funded research, such as those required by the <a href="https://www.nsf.gov/about/budget/fy2014/pdf/45_fy2014.pdf">NSF</a> and the <a href="http://publicaccess.nih.gov/">NIH</a>. The similarities I see run deeper than funding agency mandates.</p><p>For those unfamiliar with Sunshine Week, it is a non-partisan effort that seeks to improve the lives of individuals and strengthen communities through increasing access to government information. This is a goal that I am sure many of us in academia find laudable, but what about access to our own scholarship? Surely people stand to benefit from access to this scholarship in many of the same ways that they benefit from open access to government information.</p><p><a href="http://ulib.iupui.edu/node/97788" target="_blank">read more</a></p> Fri, 20 Mar 2015 20:06:53 +0000 dapolley 97788 at http://ulib.iupui.edu I want to live in an open-source house http://ulib.iupui.edu/node/73376 <p>Perhaps the reality of inhabiting a structure for which the assembly of requires “<a href="http://www.wikihouse.cc/about">minimal formal skill or training</a>” would be less than ideal. Nonetheless, the <a href="http://www.wikihouse.cc/">WikiHouse</a> project is one of my favorite examples of something made available under a <a href="http://creativecommons.org/">creative commons license</a>. Part of why I find this project so intriguing is its potential as a unique entry point for talking to people about open-access and the creative commons. The ubiquity of makerspaces are proof, people love this kind of stuff. Imagine teaching a classroom full of students about <a href="http://doaj.org/">open access publications</a> they can use for their research and <a href="http://commons.wikimedia.org/wiki/Main_Page">digital media they are free to use</a> in their projects, all while they sit on <a href="https://www.opendesk.cc/edie/stool">open-source stools</a>. This scenario could demonstrate to students, in a very tangible way, the power of creating something and sharing it openly under a creative commons license.</p><p>-TP</p> Fri, 21 Nov 2014 21:24:41 +0000 dapolley 73376 at http://ulib.iupui.edu Historical Census Browser http://ulib.iupui.edu/node/70016 <p>My <a href="http://ulib.iupui.edu/node/63264">last post</a> examined a tool for exploring current Census data and exporting it in an easy to use format. Now what about historical Census data? Not the data from a few decades ago – we’re talking about the really old stuff.&nbsp; Finding this type of historical Census data is notoriously difficult, more so than finding new data. Sifting through the <a href="http://www.census.gov/prod/www/decennial.html">Decennial Censuses that have been digitized</a> is overwhelming for your average library user. Propriety services that offer access to some historical census data with added value, such as GeoLytics, are typically expensive and not always chronologically comprehensive. Fortunately for us, as is often the case, libraries fill the void between the unpolished raw data and the propriety systems that add costly value to this data.</p><p><a href="http://ulib.iupui.edu/node/70016" target="_blank">read more</a></p> Fri, 24 Oct 2014 20:30:35 +0000 dapolley 70016 at http://ulib.iupui.edu Census Data Made Easy http://ulib.iupui.edu/node/63264 <p>Finding government information can be challenging, even for those of us practiced in the task. Uncovering government data in a form that is easily usable can be <i>even</i> <i>more</i> difficult, graying the hair of many a social scientist.</p><p><a href="http://www.ire.org/">Investigative Reporters &amp; Editors</a> had built an interface (<a href="http://census.ire.org/">census.ire.org</a>) that facilitates locating and downloading data from the <a href="http://www.census.gov/">U.S. Census</a>. Along with connecting users to Census data, the site provides concise descriptions of the geographical units over which the Census is measured. The project is supported by the <a href="http://www.rjionline.org/">Donald W. Reynolds Journalism Institute</a> at the University Of Missouri School Of Journalism.</p><p><a href="http://ulib.iupui.edu/node/63264" target="_blank">read more</a></p> Thu, 18 Sep 2014 20:25:59 +0000 dapolley 63264 at http://ulib.iupui.edu Upcoming Data Visualization Workshop http://ulib.iupui.edu/node/62112 <p>On Tuesday, September 9<sup>th</sup> I will be teaching a workshop on data visualization for the <a href="http://www.iupui.edu/~iahi/">IUPUI Arts &amp; Humanities Institute</a>, “<a href="http://www.iupui.edu/~iahi/?event=ted-polley-introduction-to-data-visualization-i-visualization-with-gephi">Introduction to Data Visualization I: Visualization with Gephi</a>.” For the uninitiated, <a href="https://gephi.github.io/features/">Gephi</a> is an open-source network visualization program. The tool is ideal for <a href="http://www.ulib.iupui.edu/digitalscholarship/news">networks</a> of any size. It offers a vast array of network analysis and visualization options, including geospatial layouts for data, statistical measures for <a href="http://en.wikipedia.org/wiki/Social_network_analysis">social network analysis</a>, and dynamic network visualization. Gephi handles a variety of data formats and allows the construction of datasets within the tool itself, perfect for those working with smaller amounts of data. Gephi runs on Windows, Mac, and Linux operating systems.</p><p><a href="http://ulib.iupui.edu/node/62112" target="_blank">read more</a></p> Fri, 22 Aug 2014 20:23:03 +0000 dapolley 62112 at http://ulib.iupui.edu Topic Modeling: Worth Learning as a Librarian? http://ulib.iupui.edu/node/58692 <p>Aside from preparing for the onslaught of instruction that will be fall semester, my time lately has been spent exploring <a href="http://www.ulib.iupui.edu/">topic modeling</a> (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).&nbsp; After installing <a href="http://mallet.cs.umass.edu/">MALLET</a>, a java-based natural language processing package that facilitates topic modeling among other things, reading this helpful <a href="http://programminghistorian.org/lessons/topic-modeling-and-mallet">tutorial</a>, and seeing <a href="http://dsl.richmond.edu/dispatch/pages/intro">evidence of topic modeling’s utility for analyzing large volumes of text</a>, I am intrigued but also somewhat overwhelmed. The further I move away from introductory explanations of topic modeling, like David M.<p><a href="http://ulib.iupui.edu/node/58692" target="_blank">read more</a></p> Fri, 25 Jul 2014 20:13:26 +0000 dapolley 58692 at http://ulib.iupui.edu Networks: How I learned to stop worrying and love the hairball http://ulib.iupui.edu/node/54098 <p>Do a Google image search for <i>data visualization</i> and undoubtedly you will see many examples of networks, otherwise known as <a href="http://en.wikipedia.org/wiki/Graph_%28data_structure%29">graphs</a>. 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 <a href="http://en.wikipedia.org/wiki/Network_theory">network theory</a>. 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.</p><p>Essentially, networks are data structures that represent relationships between entities. For example, <i>Author A</i> writes an article with <i>Author B</i>. Obviously in this case the authors are the entities and are connected through their co-authoring relationship.&nbsp; Graphs consist of nodes (entities) and edges (relationships that connect the entities). We might visually represent the previous example as:</p><p><a href="http://ulib.iupui.edu/node/54098" target="_blank">read more</a></p> Fri, 20 Jun 2014 20:32:36 +0000 dapolley 54098 at http://ulib.iupui.edu Government Information and Digital Scholarship http://ulib.iupui.edu/node/53944 <p>I recently attended the <a href="http://www.fdlp.gov/dlc-meeting-and-conference-summaries/1851-2014-dlc-meeting-and-fdl-conference">Federal Depository Library Conference</a> in Washington D.C. Among the many interesting topics discussed, one in particular caught my attention and got me thinking about the way my duty as a documents librarian and as a member of our <a href="http://www.ulib.iupui.edu/digitalscholarship">Digital Scholarship Team</a> overlaps: promoting access to and preserving born-digital government information.</p><p>Over the past decade the amount of government information online far outpaced the number of documents printed by the Government Printing Office (GPO) for distribution through the Federal Depository Library Program (FDLP) (Jacobs, 2014). The sheer volume of this information makes both providing access (at least through bibliographic control) and ensuring preservation extremely difficult. What’s worse, much of this information is transitory and is lost when administrations change or Congressional committees disband.</p><p><a href="http://ulib.iupui.edu/node/53944" target="_blank">read more</a></p> Fri, 23 May 2014 20:24:39 +0000 dapolley 53944 at http://ulib.iupui.edu Visualizing the Indianapolis Recorder http://ulib.iupui.edu/node/52642 <div class="content"><p>On April 11th, members of the Digital Scholarship Team presented initial work in analyzing the text of the <a href="http://www.indianapolisrecorder.com/"><i>Indianapolis Recorder</i></a> at <a href="http://research.iupui.edu/events/researchday2014/index.php">IUPUI Research Day</a>. The <i>Indianapolis Recorder</i> is one of the nation’s oldest and most prominent African American newspapers, and the University Library has a <a href="http://ulib.iupui.edu/digitalscholarship/collections/IRecorder">digitized collection</a> covering the vast majority of issues published between 1899 and 2005. The full text of more than 96,000 pages is currently available for export from the ContentDM platform as a tab delimited or XML text file (1.3GB).</p><p><a href="http://ulib.iupui.edu/node/52642" target="_blank">read more</a></p> Fri, 25 Apr 2014 14:30:54 +0000 dapolley 52642 at http://ulib.iupui.edu
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