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 "Presentation"
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Item “Bridging the Gaps of Providing and Scaling Research Data Curation Services”(2017-04-19) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem A collective approach to providing research data curation services(2017-05-16) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Collective Curation: An update from the Data Curation Network(2020-02) Johnston, Lisa R; Blake, Mara; Hadley, HannahItem Community-Developed Infrastructure for Curating Research Data: DCN Update(2019-05) Coburn, Elizabeth; Hadley, Hannah; Johnston, Lisa R; Kozlowski, Wendy; Vitale, Cynthia; Herndon, Joel; Carlson, JakeItem A Comprehensive Campus-based Approach to Address the Opportunities and Challenges Posed by Data Intensive Research(Association for Computing Machinery, 2019) Wilgenbusch, James C; Baller, Joshua A; Bates, Carla; Bollig, Evan; Johnston, Lisa R; Neuhauser, ClaudiaFaced with escalating expenses related to data storage needs and a capable set of on campus storage service providers, the University of Minnesota (UMN) developed a comprehensive framework to better address current and emerging challenges and opportunities brought by data intensive research. Elements of this framework and the process used to develop it could be applied at other research institutions to advance their efforts to address the challenges they face supporting data intensive science. While approaches may differ slightly, addressing these challenges within our respective universities is critical, and perhaps a prerequisite to building and sustaining partnerships among providers of advanced research computing and fully realizing the value of our data.Item Curate a data set to capture and compare curation activities across network partners(2017-02-21) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Item Curating Research Data: How We Do It Today and How We Might Collaborate in the Future(2017-02-27) Johnston, Lisa RAs reproducibility and data sharing emerge as key issues for academic researchers, the data management services offered by the library must grow from consultation and guidance to hands-on data curation and service. For two years the University of Minnesota Libraries have offered a robust service involving multiple data curation specialists that curate data deposited into our Data Repository for the University of Minnesota (DRUM) and appropriate subject data repositories. Data curation steps, including quality assurance, file integrity checks, documentation review, metadata creation for discoverability, and file transformations into archival formats, are value-add services that enhance digital data for long-term preservation and reuse. This talk will explore the data curation workflows and staffing in place at our institution and also highlight procedures in place at disciplinary and institutional such as Dryad, ICPSR, Yale, and the U of New Mexico. These experiences are collected in a new book titled Curating Research Data: A Handbook of Current Practice, released as an open access ebook by the Association of College & Research Libraries in January 2017.Item Data Curation Network Poster presented at the Research Data Alliance 10th Plenary, Montreal, CA September 20, 2017.(2017-09) Olendorf, Rob; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Stewart, Claire; Johnston, LisaPoster presented at the Research Data Alliance 10th Plenary, Montreal, CA September 20, 2017.Item Data Curation Network Preliminary Results(2017-01-24) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Data Curation Network Update for the Texas Digital Library(2019-12) Johnston, Lisa RItem Data Curation Network: A curator’s perspective(2019-02) Fagan, Debra; Clary, Erin; Johnston, Lisa RItem Data Curation Network: Developing and Scaling Research Data Management(2018-06-13) Johnston, Lisa; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, Claire; Blake, Mara; Hull, Elizabeth; Herndon, Joel; McGeary, Timothy MItem The Data Curation Network: Extending the Research Data Toolkit(2020-06) Johnston, Lisa R; Coburn, Elizabeth; Kozlowski, Wendy; Hadley, HannahItem Data Curation Perception and Practice(2017-05-24) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Data Curation Primers: Expanding the community curation toolkit(2019-09) Johnston, Lisa R; Hudson-Vitale, Cynthia; Hadley, HannahItem Data Curation Services, Together!(2018-11-08) Johnston, Lisa; Blake, Mara; Carlson, Jake; Coburn, Liza; Herndon, Joel; Hull, Elizabeth; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; McGeary, Timothy M; Stewart, ClaireItem Data discovery and the role of academic institutional data repositories(2020-02) Johnston, Lisa RItem DRUM-roll Please: An institutional data repository with a focus on curation for reuse(2015-06-03) Johnston, Lisa RThe Data Repository for the University of Minnesota (DRUM) (http://z.umn.edu/drumposter) is a service that launched in November 2014 enabling campus researchers to provide long-term, open access to their research data. DRUM reflects the Libraries' commitment to providing broad and enduring access to the intellectual output of the University. Making research data openly available in DRUM has numerous benefits, including: the ability to provide a persistent identifier (DOI) to data for citation purposes, compliance with data sharing and preservation requirements of funding agencies, and tracking the downloads of data in order to demonstrate impact. DRUM is one of a number of library data services that include support for writing data management plans (DMPs), training faculty, staff and students in data management best practices, and digital preservation and curation of the digital objects. This poster will describe the open source architecture behind the data archive, the policies for deposit, and the importance of acceptance criteria and curation actions that are taken to ensure that data are discoverable in a way that maximizes potential for re-use.Item Extending the Research Data Toolkit: Data Curation Primers(2020) Johnston, Lisa; Hannah, Hadley; Blake, MaraSlides presented at the International Digital Curation Conference (IDCC) February 19, 2020 in Dublin, Ireland
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