Browsing by Author "Johnston, Lisa R."
Now showing 1 - 5 of 5
Results Per Page
Sort Options
Item Data Sharing Readiness of Academic Institutions(Data Curation Network, 2023) Johnston, Lisa R.This presentation builds on a 2020 study to provide an overview of data sharing readiness in academic institutions, and makes the case for why academic institutions should support researchers in sharing research data efforts. This was presented as part of the Data Curation Network's Repository Readiness Virtual Learning Series, Summer 2023.Item From Curation to Compliance: Supporting Research Data Sharing at Scale(2023) Johnston, Lisa R.; Ivey, Susan; Cowles, Wind; Hudson Vitale, CynthiaPresented at the 2023 EDUCAUSE annual meeting in Chicago. One of the major challenges facing IT and information professionals in higher education is how to support and advance data-intensive research at scale while meeting the needs of researchers and the requirements of research funders in a complex and rapidly shifting regulatory and technological environment. This challenge is exacerbated for campus-wide infrastructure and services by the heterogeneity and complexity of the data and workflows involved, and is particularly felt in the growth of requirements around data sharing and the increase across all disciplines in non-traditional research outputs. These challenges raise questions about what counts as research data, what needs to be shared and for how long, where are researchers sharing their data, how much will sharing cost and how will it be sustainability supported, how will researchers be involved and supported, how will institutions be sure that they are in compliance, and how do they ensure long-term value of the information generated by their researchers? Answers to these questions involve a campus ecosystem of services, infrastructures, and partnerships. In this session, leaders from four different organizations will provide insights into these challenges and the solutions that their organizations are pursuing, showcasing examples of leadership partnerships, collaborative experimentation, and radical collaboration. After introducing an overview of the challenges and drivers in this area, they will share the results of the NSF-funded study, Realities of Academic Data Sharing, led by the Association of Research Libraries (ARL), which sought to understand how and where researchers are sharing their data, the completeness of the metadata, and the expenses associated with sharing the research data - calculating both institutional expenses and researcher costs. Next, they will go into depth on two institutional research data service programs at Princeton University and North Carolina State University that exemplify inter-institutional collaboration across service units. Finally, they will share some lessons learned from the Data Curation Network, a growing cross-institutional collaboration of 16 member organizations for enabling and advancing research data sharing. Participants will be invited to share their experiences, challenges, and solutions that their institutions are pursuing.Item Institutional Repositories for Public Engagement: Creating a Common Good Model for an Engaged Campus(2020) Moore, Erik A.; Collins, Valerie M.; Johnston, Lisa R.Most higher-education institutions strive to be publicly engaged and community centered. These institutions leverage faculty, researchers, librarians, community liaisons, and communication specialists to meet this mission, but they have largely underutilized the potential of institutional repositories. Academic institutions can use institutional repositories to provide open access and long-term preservation to institutional gray literature, research data, university publications, and campus research products that have tangible, real-world applications for the communities they serve. Using examples from the University of Minnesota, this article demonstrates how making this content discoverable, openly accessible, and preserved for the future through an institutional repository not only increases the value of this publicly-engaged work but also creates a lasting record of a university’s public engagement efforts and contributes to the mission of the institution.Item Unpacking the structures of radical interdependence: The experience of the Data Curation Network(2022) Carlson, Jake; Cowles, Wind; Johnston, Lisa R.; Narlock, Mikala R.In 2016, six academic libraries initiated the Data Curation Network (DCN) as an experimental model for collaboratively curating data sets deposited into their institutional repositories. The DCN model is centered on “radical interdependence”, opening up access to expertise of the data curators at any one institution to all participating member libraries. Under this model, DCN member institutions leverage the collective knowledge and skills of all member curators, creating a greater capacity to curate more data more effectively than any one institution could by themselves. The DCN is now a thriving community and has grown to 17 member institutions. The DCN recently conducted a project retrospective to better understand the enabling structures and tools that allowed the network to thrive. Representatives from the member institutions were recently asked to reflect on their experiences in developing the DCN and what elements contributed to its success. We asked them to consider not just the structures, tools, and workflows that we collectively designed, but the more intangible aspects of the DCN, such as generating trust, acknowledging vulnerability, and community building. In our presentation, we will explore the key enabling structures of “radical interdependence” that were identified by DCN members. We will then lead a discussion on how these structures could potentially be applied to other cross-institutional or multidisciplinary collaborations. Presented at the Coalition for Networked Information Fall 2022 member meeting.Item "What a long, strange trip it's been": A Retrospective of the Data Curation Network(Data Curation Network, 2023) Carlson, Jake; Johnston, Lisa R.; Narlock, Mikala R.Members of the Data Curation Network’s Executive Committee, Jake Carlson, Lisa Johnston, and Mikala Narlock, will share out on the work we’ve done as a community, in particular highlighting the foundational knowledge and previous work that led to some of our collective successes. We will share some of the ways we hope to see our community develop in the coming years and other research data challenges that might benefit from a cross-institutional approach. We’ll round out the presentation, leaving time for discussion, with an overview of the retrospective process we utilized.