Researcher Expectations From Data Publication and Peer Review
John Kratz, California Digital Library
Data "publication" attempts to appropriate for data the prestige of publication in the scholarly literature. While the scholarly communication community substantially endorses the idea, it hasn't fully resolved what a data publication should look like or how data peer review should work. To contribute an important and neglected perspective on these issues, we surveyed ~250 researchers across the sciences and social sciences, asking what expectations "data publication" raises and what features would be useful to evaluate the trustworthiness and impact of a data publication and the contribution of its creator(s).
#Win or #Fail? Measuring Researcher Attitudes toward Open Data Using Sentiment Analysis of Twitter
Sara Mannheimer, Montana State University
In the past few years, open data policies have become more common. Much federally-funded research data must now be preserved and shared, and many academic journals now require that supporting data be made available. However, the open data trend has not met with universal approval from the research community. The debate surrounding PLOS's March 2014 open data policy was especially visible on Twitter, where the hashtag #PLOSfail was used by detractors. By conducting a sentiment analysis on a subset of Twitter, we measure researcher attitudes toward open data over time, identifying general trends in public opinion surrounding open data.
Faculty Attitudes Towards Data Sharing
Nathan Hall, Virginia Tech University
This snapshot explores faculty attitudes towards data sharing. Data was gathered through semi-structured interviews at two large public universities. Interviews were transcribed and analyzed with NVivo. Emerging themes were the main findings. Findings include the participants' attitudes and behaviors towards data sharing, along with the cultural norms, and organizational and economic incentives behind those attitudes and behaviors.
Learning Together: Two Case Studies of Internal Data Management Training
Elizabeth Rolando, Georgia Tech
Christopher Eaker, University of Tennessee Knoxville
As the Georgia Tech and University of Tennessee libraries expand data management and archiving services, internal training is critically important. At Georgia Tech, the Research Data Librarian collaborated with subject librarians to explore local disciplinary metadata and documentation practices for research data collections. At the University of Tennessee, the Data Curation Librarian held an interactive workshop to introduce subject specialist and instructional librarians to research data management best practices. This panel will discuss the two methods for "training the trainer"—lecture-style instruction vs. active, hands-on participation—highlighting the advantages and disadvantages of both approaches.
The CRADLE Project: Building a National Network of Data Curation Educators
Helen Tibbo, University of North Carolina, Chapel Hill
The IMLS-funded Creating Research Assets and Data using Lifecycle Education (CRADLE) project is working to enhance data curation education for librarians, archivists, and researchers by developing massive open online courses (MOOC) that will provide instruction on data curation principles. This presentation will focus on the efforts aimed at library and archival information professionals and seek community input on developing assignments that require MOOC students to make contact with data producers and information professionals at their local universities, libraries, research centers, or data repositories. Hosting virtual summits that provide ongoing opportunities to share data management experiences and continue will be discussed.
