Data visualization has become an increasingly popular way to communicate scholarship in a manner that is easy to consume and understand. However, by failing to ensure our data visualizations are accessible to users with disabilities, content creators limit access to and the impact of our work. This session will provide a quick overview of accessible data visualization: what it is and why it matters and common data visualization accessibility challenges and solutions. Using examples published with Tableau, ArcGIS, and Google Fusion Tables, attendees will learn how to evaluate visualizations for accessibility, choose colors that are accessible for most users, and other quick tips to ensure access for all.
In 2013, the Office of Science and Technology Policy (OSTP) issued a memorandum ensuring that the direct results of federally funded scientific research are made available to and useful for the public, industry, and the scientific community by requiring each agency with over $100 million in annual conduct of research and development expenditures to develop a plan to support increased public access to the results of research funded by the U.S. government. As agencies like the National Institutes of Health and National Science Foundation respond to this mandate by creating public access plans, researchers and librarians are struggling to keep pace with emerging data management requirements. This session will explore strategies for creating data management plans (DMPs) for federally funded research. Topics to be discussed include: funder agency requirements, resources for understanding public access requirements, and tools for creating data management plans. The presenter will also speak from experience in creating data management plans and will provide advice on streamlining the DMP creation process as well as developing consultative data management services that are scalable across institutions.
This session will present two tools researchers can use with reference management software to find and compare trends in bibliographic data and associated full-text sources: NVivo and Paper Machines. NVivo qualitative data analysis software helps users organize and analyze unstructured data in documents, images, audio, video, spreadsheets, online surveys, web pages, social media content, and more. While the software is most often associated with qualitative and mixed methods research, researchers across disciplines can use NVivo to import a bibliographic library, code and query for authors and key themes, and export query results, visualizations, and bibliographic data. Paper Machines is a topic-modeling plugin for the Zotero reference management software. Designed to enable researchers to "visualize thousands of texts with the click of a button," Paper Machines offers several different processes and visualizations, including word clouds, phrase nets, mapping, geodata export, topic modeling, and more.
FSU's Institutional Repository, DigiNole, recently re-launched on an extensible Open Source software platform. One of DigiNole's anticipated growth areas is in handling research data, but what does that really mean? Is there a shared common definition of what a data repository should be? What kinds of functionality do data repositories typically have, and how does this functionality differ from institutional repositories? What features are most desired by researchers, and what features are necessary to ensure compliance with funding agency data management mandates? In this session, we will explore emerging answers to these questions, sharing what we have learned about the state of data repositories and how it has affected our plans to implement one at FSU.
How can academic libraries concentrate their research data management efforts to best meet the needs of their campuses while also maximizing limited resources? At UNCG, librarians collaborate across departments to support targeted research data management needs on campus. We have developed this collaborative effort by building on the strengths of an existing multi-school institutional repository system (NC DOCKS: http://libres.uncg.edu/ir/uncg/) and a long running outreach and instruction program for secondary data discovery. This presentation will discuss the scope and component pieces of the University Libraries' data management services. We will present on the development of our service model and various associated activities, including support for data management planning, a series of workshops for graduate students created in collaboration with our Institutional Review Board, outreach and training efforts, and institutional repository integration. Presenters will address specific roles, workflows, challenges, and lessons learned, and will provide perspectives from both public and technical services. Throughout the presentation we will encourage participants to consider points for collaboration within their institutions to support research data management.