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R is an open source programming environment that is widely used among researchers in many fields. R is powerful because it's free, increasingly robust, and facilitates reproducible research, an increasingly sought after goal in academia. Although tools for data manipulation/visualization/analysis are well developed in R, data acquisition and publishing tools are not. rOpenSci is a collaborative effort to create the tools necessary to complete the reproducible research workflow. This presentation discusses the need for these tools, including examples, including interacting with the repositories Mendeley, Dryad, DataONE, and Figshare. In addition, we are building tools for searching scholarly metadata and acuiring full text of open access articles in a standarized way across metadata providers (e.g., Crossref, DataCite, DPLA) and publishers (e.g., PLOS, PeerJ, BMC, Pubmed). Last, we are building out tools for data reading and writing in Ecologial Metadata Language (EML).
== SPLUNK: Log File Analysis ==
* Jim LeFager, jlefager@depaul.edu, DePaul University Library
DePaul University Library recently took over monitoring and maintaining of the library EZproxy servers this past year and using Splunk, a machine data analysis tool, we are able to gather information and statistics on our electronic resource usage in addition to monitoring the servers. Splunk is a tool that can collect, analyze, and visualize log files and other machine data in real time and this has allowed for gathering realtime usage statistics for our electronic resources allowing us to filter by multiple facets including IP Range, Group Membership (student, faculty), so that we can see who is accessing our resources and from where. Splunk allows our library to query our data and create rich custom dashboards as well as create alerts that can be triggered when certain conditions are met, such as error codes, which can send an email alert to a group of users. We will be leveraging Splunk to monitor all library web applications going forward.