Academic librarians are increasingly engaging in data curation by providing infrastructure (e.g., institutional repositories) and offering services (e.g., data management plan consultations) to support the management of research data on their campuses. Efforts to develop these resources may benefit from a greater understanding of disciplinary differences in research data management needs. After conducting a survey of data management practices and perspectives at our research university, we categorized faculty members into four research domains—arts and humanities, social sciences, medical sciences, and basic sciences—and analyzed variations in their patterns of survey responses. We found statistically significant differences among the four research domains for nearly every survey item, revealing important disciplinary distinctions in data management actions, attitudes, and interest in support services. Serious consideration of both the similarities and dissimilarities among disciplines will help guide academic librarians and other data curation professionals in developing a range of data-management services that can be tailored to the unique needs of different scholarly researchers.

INTRODUCTION The support and curation of research data underlying theses and dissertations are an opportunity for institutions to enhance their ETD collections. This article describes a pilot data archiving service that leverages Emory University's existing Electronic Theses and Dissertations (ETDs) program. DESCRIPTION OF PROGRAM This pilot service tested the appropriateness of Dataverse, a data repository, as a data archiving and access solution for Emory University using research data identified in Emory University's ETD repository, developed the legal documents necessary for a full implementation of Dataverse on campus, and expanded outreach efforts to meet the research data needs of graduate students. This article also situates the pilot service within the context of Emory Libraries and explains how it relates to other library efforts currently underway. NEXT STEPS The pilot project team plans to seek permission from alumni whose data were included in the pilot to make them available publicly in Dataverse, and the team will revise the ETD license agreement to allow this type of use. The team will also automate the ingest of supplemental ETD research data into the data repository where possible and create a workshop series for students who are creating research data as part of their theses or dissertations.

Jennifer Doty is a data management specialist with the Emory University Libraries. Her primary focus is developing services and support for the management and curation of research data at Emory. She can be reached at jennifer.dotyemory.edu. W ith presenters covering topics ranging from provenance to preservation to publication of data, the RDAP13 Poster Session provided a wealth of information on recent trends in research data management. Posters ran the gamut with new explorations into systems and support for accessing, preserving and sharing research data.The poster presented by David Fearon and Betsy Gunea of the Johns Hopkins University Data Management Services team demonstrated the challenges inherent in supporting previously published data. In a time when many librarians and information professionals are exploring methods to engage with faculty and student researchers, JHU presents a compelling model for working with PhD candidates to archive data related to their publications. The experience posed a challenge in providing support to document and prepare data underlying already published results and reaffirmed the importance of working with researchers earlier in the data collection process to effectively create project metadata.Data information literacy for graduate students was the focus of the poster from the IMLS-sponsored project represented by librarians from Cornell, Purdue and the Universities of Minnesota and Oregon. By focusing their lens on researchers at the graduate level, the project has developed a comparative model for packaging data literacy instruction in a variety of formats (for example, online course, in-person seminar or workshop, embedded librarian) and applying it in a range of situations with students in scientific disciplines. The team adopted an integrated and tailored approach, and one of their most interesting findings is the usefulness of focusing on the mechanics of data management and the local, immediate needs of a specific research group.From instructional programming for graduate students, we turn to an

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