Lisa R Johnston

Persistent link for this collectionhttps://hdl.handle.net/11299/92081

As Data Management & Curation Lead and co-director of the University Digital Conservancy I coordinate the library's efforts around digital scholarship and research data management, access, and archiving. Prior to this I served as library liaison to the Physics, Astronomy, and Geology departments (2007-2011). My research areas of focus are scientific data curation, citation analysis, information-seeking behavior and web development of user-centered tools to access information.

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Browsing Lisa R Johnston by Type "Article"

Now showing 1 - 8 of 8
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    Data Curation Network: How Do We Compare? A Snapshot of Six Academic Library Institutions’ Data Repository and Curation Services
    (Journal of eScience Librarianship, 2017-02-28) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, Claire; Hswe, Patricia
    Objective: Many academic and research institutions are exploring opportunities to better support researchers in sharing their data. As partners in the Data Curation Network project, our six institutions developed a comparison of the current levels of support provided for researchers to meet their data sharing goals through library-based data repository and curation services. Methods: Each institutional lead provided a written summary of their services based on a previously developed structure, followed by group discussion and refinement of descriptions. Service areas assessed include the repository services for data, technologies used, policies, and staffing in place. Conclusions: Through this process we aim to better define the current levels of support offered by our institutions as a first step toward meeting our project's overarching goal to develop a shared staffing model for data curation across multiple institutions.
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    Data Management Skills Needed by Structural Engineering Students: A Case Study at the University of Minnesota
    (Journal of Professional Issues in Engineering Education and Practice, 2013) Johnston, Lisa R; Jeffryes, Jon
    The current era of e-science and big data calls upon researchers to ensure the security and management of their research data. In this case study researchers from the University of Minnesota Libraries interviewed a graduate student research team and faculty advisor to provide an understanding of the educational gaps that need to be filled in order to graduate data-savvy engineers. This paper presents the needed data management skills with thoughts on how the engineering discipline and academic research libraries might partner on a shared training solution.
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    Developing a Data Curation Service: Step #1: Work With What You’ve Got
    (Bulletin of the American Society for Information Science and Technology, 2014) Johnston, Lisa R
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    Developing E-science and Research Services and Support at the University of Minnesota Health Sciences Libraries
    (Journal of Library Administration, 2012) Johnson, Layne M.; Butler, John; Johnston, Lisa R
    This paper describes the development and implementation of e-science and research support services in the Health Sciences Libraries (HSL) within the Academic Health Center (AHC) at the University of Minnesota (UMN). A review of the broader e-science initiatives within the UMN demonstrates the needs and opportunities that the University Libraries face while building knowledge, skills, and capacity to support e-research. These experiences are being used by the University Libraries administration and HSL to apply support for the growing needs of researchers in the health sciences. Several research areas that would benefit from enhanced e-science support are described. Plans to address the growing e-research needs of health sciences researchers are also discussed.
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    MapHappy: A User-Centered Interface to Library Map Collections Via a Google Maps “Mashup”
    (Journal of Map And Geography Libraries, 2009-07-01) Johnston, Lisa R; Jensen, Kristi L.
    Providing users with the best possible access to the unique cartographic materials found in libraries has been a constant challenge formap librarians. In a Web 2.0 world, existing mapping APIs make it possible to extend the library OPAC past the text-based search and enable users to locate maps using a familiar interface, such as Google Maps. This article describes how librarians at the University of Minnesota developed MapHappy, a “mashup” of their existing map MARC records into a geospatial Web application providing unique access to the print maps in their collections. As expected, this project raised many questions and produced a new set of challenges and opportunities; two such problems, the issue of missing or faulty map coordinates and aligning the interface design with user expectations, are discussed. And while still in beta, a variety of future plans are considered for further development and improvement of MapHappy. This project demonstrates that the representation of library records in a geospatial format provides a more intuitive and streamlined method of identifying maps and makes accessible a wide range of data previously meaningless or invisible to users.
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    Steal this idea: A library instructors’ guide to educating students in data management skills
    (College & Research Libraries News, 2014-09) Johnston, Lisa R; Jeffryes, Jon
    Academic librarians are increasingly called on to offer training and educational programming on wide-ranging topics to our campus affiliates from information literacy, authors’ rights, emerging publishing models, and the latest tools to manage citations and personal information. Recent funding requirements to increase access to the digital data resulting from federally funded research have highlighted an additional area of need for better data management skills and best practices for data sharing. This shift prompted the Data Information Literacy project, an IMLS-funded project bringing together librarians and researchers from Purdue University, Cornell University, University of Oregon, and University of Minnesota (UMN) to better understand and address the data management skills needed by students on our respective campuses. This article provides a big-picture overview of the work conducted by UMN to meet the data literacy needs of our graduate students. We’ve adapted our instructional approach to data management over the years. We started with an online, self-paced course4 in 2012 and then, based on student need and feedback, transformed the training into a comprehensive, multidisciplinary “flipped classroom” five-session workshop series. After we show you what we’ve done, we’ll tell you how you can take the content we’ve created and re-use, adapt, and repurpose it for your own students.
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    Tech Expo: A Model for Emerging Technology Education for Library Staff
    (Journal of Library Innovation, 2012) Johnston, Lisa R; Spicer, Scott
    Emerging technologies, such as personal information management tools like Zotero, productivity software like Google Documents, and web-based API's and mashups are important resources for library staff development and productivity. To keep up with rap-id technological change, the University of Minnesota Libraries developed a staff educa-tion program on emerging technologies. Begun in 2009, the fun and interactive program called Tech Expo has been a success. This paper describes our approach and lessons learned. In recent years, emerging technologies and open source software have proliferated in higher education. In response to technological change at the University of Minnesota (UMN), the Libraries created a Technology Librarian position in 2006 with a focus on emerging technologies. However, it became clear that the growing need for training was not the job of a single librarian, but must be augmented with an emerging technologies program dedicated to staff education. (This is especially true at a large research institu-tion like UMN, with a staff of more than 300.) This article describes the creation and im-plementation of such a program in 2009.
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    Training Researchers on Data Management: A Scalable, Cross-Disciplinary Approach
    (Journal of eScience Librarianship, 2012-08) Johnston, Lisa R; Lafferty, Meghan; Petsan, Beth
    This article describes the curriculum, implementation, and results of the research data management training offered by the University of Minnesota (UMN) Libraries. The UMN Libraries have offered the workshop titled, “Creating a Data Management Plan for Your Grant Application,” to more than 300 researchers and faculty since late 2010. With University partnerships, this training satisfies the requirement for the continuing education component to maintain PI eligibility. Based on workshop feedback, the authors conclude that academic libraries can provide support to researchers with federal mandates to share their research data by providing timely, discussion-based training and resources on how to create a data management plan. The unanticipated benefits for library staff education and professional development on this topic are explored.