@article{04d966303af14025a940db1395b2a3ef,
title = "Using a bibliographic study to identify faculty candidates for data services",
abstract = "Making connections with faculty can be challenging for librarians developing new data services programs. In order to identify faculty with a variety of data experiences, the author conducted a review of selected recent publications by sixty-two agricultural faculty members at the University of Illinois at Urbana-Champaign. As a follow-up, faculty who had publicly shared data beyond that published in an article were contacted directly to request interviews to discuss data sharing. These active, targeted messages have generated more faculty response than the general data services announcements previously broadcast. Bibliographic studies are a known method for librarians, but using this method to identify faculty candidates for data services represents a new application. The advantages and disadvantages of this approach are discussed.",
keywords = "connections, data services, faculty, publications",
author = "Williams, {Sarah C.}",
note = "Funding Information: At the University of Houston, an assessment of researchers{\textquoteright} data needs targeted principal investigators (PIs) of National Science Foundation (NSF) and National Institutes of Health (NIH) grants (Peters and Dryden 2011). Given the NSF{\textquoteright}s data management plan requirement and NIH{\textquoteright}s data sharing policy, the project team felt that these PIs would be a more receptive population than a random sample of researchers. The team worked with the university{\textquoteright}s Office of Contracts and Grants to obtain a list of NSF and NIH grant–funded projects for a single fiscal year and then selected fourteen projects, based on various criteria. Ten of the fourteen PIs agreed to participate in the study. Peters and Dryden (2011) also noted that the study was an effective outreach mechanism, with new and unexpected connections made between science librarians and scientists. Funding Information: As a follow-up, the author was interested in talking with faculty who had shared data to ask how the library might facilitate the data sharing process and to share information about the library{\textquoteright}s data services. The subset of applicable faculty and the findings related to their article(s) were extracted from the complete study findings. Additionally, each applicable article was searched again in the Web of Knowledge Science Citation Index Expanded for funding information (e.g., National Science Foundation, U.S. Department of Agriculture, Agricultural Research Service) in case funding agency guidelines affected data sharing.",
year = "2013",
month = apr,
day = "1",
doi = "10.1080/0194262X.2013.774622",
language = "English (US)",
volume = "32",
pages = "202--209",
journal = "Science and Technology Libraries",
issn = "0194-262X",
publisher = "Routledge",
number = "2",
}