Data Curation Network Outputs

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Research and outputs from the Data Curation Network, a community of professional data curators, data management experts, data repository administrators, disciplinary scientists and scholars that represent academic institutions and non-profit data repositories who steward research data for future use. We strive to build a trusted community-led network of curators advancing open research by making data more ethical, reusable, and understandable.

Project website: https://datacurationnetwork.org/

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Now showing 1 - 20 of 58
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    Enabling data reuse: The imperative of data curation
    (2024) Narlock, Mikala R.
    Data sharing has long been viewed as essential for open scholarship, as a bulwark against misinformation and poor scientific practice. Increasingly, data sharing is becoming mandated, by funding agencies and publishers, leading to an increase in data sharing via generalist, institutional, and disciplinary repositories. In this deluge of data, and in a world of AI and Machine Learning, it is imperative that researchers and academic communities move beyond data sharing to data publication in trusted data repositories to enable future (re)use. Mikala Narlock, Director of the Data Curation Network, will provide a short overview of the current state of data sharing, highlighting the importance of data curation and opportunities for re-curation, and end with a call to action for individuals and communities.
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    Value of Curation Webinar Slides
    (Data Curation Network, 2024) Lafferty-Hess, Sophia; Luong, Hoa; Marsolek, Wanda; Wright, Sarah
    What is the impact of data curation? Do curated datasets have greater measurable value than non-curated datasets? How do researchers perceive the importance and value of the work performed by data curators? These are questions members of the Data Curation Network have been investigating. Through funding from the Alfred P. Sloan Foundation, we have been researching from different perspectives the value data curation provides. Members of the DCN conducted two surveys, one focusing on the repository managers and one on the researchers’ perspectives. The results overwhelmingly demonstrate what we felt all along: researchers value the work of data curators. This webinar dives into the collected data and invited active discussion.
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    Championing Institutional Data Sharing Efforts
    (Coalition for Networked Information, 2024) Carlson, Jake; Narlock, Mikala R.
    Data repositories are an essential component of the emerging infrastructure that is needed for sharing, stewarding and preserving research data at scale. However, the landscape of data repositories is uneven, fractured, and evolving. In the absence of widespread domain repositories, many academic libraries have stepped in to fill this gap through developing institutional data repositories (data IRs) to meet the needs of researchers located at their host institution. However, much like domain repositories, data IRs are evolving at an uneven rate in isolation from one another. With the federal government’s recent release of community guiding documents such as the Desirable Characteristics of Data Repositories (DC-DR) and the Nelson Memo, the time is right for data IRs and data service providers to explore areas where they could collaborate more closely to develop consensus around best practices for providing data services and how we might better connect our individual infrastructures. The Data Curation Network (DCN) recently received funding from the NIH in support of developing community-centered approaches in advancing institutional data services and data IRs, to be developed at the Summit for Academic Institutional Readiness in Data Sharing (STAIRS). At STAIRS, attendees will assess the current state of institutionally based data services and data IRs, discuss areas of service and infrastructure that would benefit from cross-institutional approaches, and explore ways in which we could strengthen collective alignment with the DC-DR, the Nelson memo and other emerging initiatives. In this pre-recorded video, we will describe the work done by the DCN in exploring the need for greater alignment across institutions and share information about the upcoming STAIRS workshop, including how to apply to attend.
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    DCN Response to Implementation Plan to Increase Public Access to USDA-Funded Research Results
    (Data Curation Network, 2024) Data Curation Network
    The Data Curation Network submitted a response to the USDA’s Implementation Plan to Increase Public Access to USDA-Funded Research Results (Notice 2024-01673). With special thanks to Leslie Delserone (University of Nebraska-Lincoln), Laura Hjerpe (University of Virginia), Sherry Lake (University of Virginia), Matthew Murray (University of Colorado Boulder), and Jon Petters (Virginia Tech) for their comments and suggestions that are the foundation of this feedback.
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    DCN Response to Best Practices for Sharing NIH Supported Research Software
    (Data Curation Network, 2024) Data Curation Network
    The Data Curation Network submitted a response to the National Institutes of Health Best Practices for Sharing NIH Supported Research Software (RFI NOT-OD-24-005). With special thanks to Madina Grace, Laura Hjerpe, Greg Janée, Sherry Lake, Vicky Rampin, Nicholas Wolf, and Rachel Woodbrook for their comments and suggestions that are the foundation of this document.
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    Annual Report 2023: End of Year Highlights of the Data Curation Network
    (2023-01-31) Data Curation Network
    This report showcases the numerous endeavors the DCN supports, including information about our members, our shared expertise and community of practice, research efforts, and governance. Highlights from the year include four in-person workshops, our first in-person All Hands Meeting since 2019, and a continued focus on the community that is the heart of the DCN.
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    DCN Response to NSF Public Access Plan 2.0
    (Data Curation Network, 2023) Data Curation Network
    The Data Curation Network submitted a response to the National Science Foundation Public Access Plan 2.0: Ensuring Open, Immediate, and Equitable Access to National Science Foundation Funded Research. This response drafted by many individuals, including Sherry Lake, Ricky Patterson, and Vicky Rampin.
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    Make it explicit: Surfacing Power and Ethics in the CURATE(D) Protocol
    (2023) Woodbrook, Rachel; Taylor, Shawna; Dolan, Lana Tidwell; Murray, Reina Chano; Narlock, Mikala R.; Calvert, Scout
    In 2018, the Data Curation Network (DCN) developed the CURATE(D) model, a standardized set of steps for curating research data with an eye toward the FAIR and CARE principles. The CURATE(D) model has proven to be a useful teaching tool for demonstrating data curation best practices; while practical and structured enough to provide a foundation for learners, it also provides enough flexibility to be adaptive for different disciplines and data format needs. The CURATE(D) model has been revised over the years to integrate feedback and keep pace with the evolving data curation profession. In the past year, the DCN has undertaken efforts to rework this model to be responsive to ethical and power considerations highlighted by data sovereignty and data justice movements. This has meant revising the guidance to make explicit the tacit, power-laden assumptions regarding data appraisal and selection criteria, sharing decisions, and the iterative nature of curation. In this presentation, attendees will be invited to compare the previous and current versions of this model, will learn about the revision process, and have the opportunity to provide feedback on the model. Presented at IASSIST 2023 in Philadelphia, PA.
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    We're all in this together: Readying IRs to support federally funded research
    (2023) Carlson, Jake; Narlock, Mikala R.
    In 2023, during the Year of Open Science, the Data Curation Network will host collaborative workshop series to prepare US academic institutional repositories to align with the Desirable Characteristics of Data Repositories for Federally Funded Research (DC-DR). Issued by the National Science and Technology Council in May 2022, these guidelines promote a set of consistent attributes for researchers and funding agencies in selecting a suitable repository for sharing and preserving their data, findings and other research outputs. The release of the DC-DR and the White House Office of Science and Technology Policy Memo, “Ensuring Free, Immediate, and Equitable Access to Federally Funded Research,” is an opportunity to develop a common set of policies, standards and practices to better connect all types of data repositories. Both are important documents but neither provide a clear direction for repositories to implement the high-level guidance they provide. This is especially important for Institutional Repositories (IRs), which serve many disciplines and may be tasked with demonstrating alignment with different federal agencies’ requirements for federally funded research. IRs are critical infrastructure in supporting researchers who do not yet have disciplinary based repositories to use in meeting federal data sharing requirements. In order to ready US-based academic IRs to demonstrate alignment with the characteristics, the DCN hosted a series of virtual learning opportunities and an in-person workshop. In this presentation, we will report out on our progress thus far and invite feedback from participants. Presented to the Digital Library Federation 2023 Forum.
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    From Curation to Compliance: Supporting Research Data Sharing at Scale
    (2023) Johnston, Lisa R.; Ivey, Susan; Cowles, Wind; Hudson Vitale, Cynthia
    Presented 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.
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    Sustaining Open Research: Developing and maturing IR technology platforms to support data sharing
    (Data Curation Network, 2023) Nurnberger, Amy; Mannheimer, Sara; Holmes, Kristi; Kozlowski, Wendy
    This Data Curation Network event featured a series of lightning talks about different repository technologies. This was followed by a panel discussion on different repository platform implementations, and how that can be used to support research data services at an institution. Speakers responded to the following questions about their repository: What do you love about what it does? What do you wish it did? What does it take to run? (dollars, FTE?) Consider not just the platform, but also the unseen processes and infrastructure. Speakers included Amy Nurnberger, Sarah Mannheimer, Kristi Holmes, and Wendy Kozlowski. All slides have been combined into one slide deck.
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    Beyond compliance: Curation as essential open science infrastructure
    (2023-10-19) Cowles, Wind; Narlock, Mikala
    Presented October 19, 2023: “Developing New Approaches to Promote Equitable and Inclusive Implementation of Open Scholarship Policies.” Hosted by The National Academies of Sciences, Engineering, and Medicine’s Roundtable on Aligning Incentives for Open Scholarship.
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    Data for "Knowledge Infrastructures Are Growing Up: The Case for Institutional (Data) Repositories 10 Years After the Holdren Memo"
    (2023-10-09) Narlock, Mikala R.; Priesman Marquez, Rachel; Herrmann, Heather; Ibrahim, Maisarah; mnarlock@umn.edu; Narlock, Mikala
    Recognizing that institutional repositories (IRs and IDRs) have been, and will continue to be, key infrastructure researchers utilize to share their data (either due to funder, publisher, or institutional requirements, or to promote open science) the authors, as individual members of the Data Curation Network (DCN), recognized the imperative to assess the current IR and IDR landscape. To that end, we conducted a review of institutional and data repositories based at Association of Research Libraries (ARL) institutions to better understand: Are either institutional repositories or institutional data repositories receiving datasets? If so, has this increased over time and, if so, by how much?
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    My Summer Code-Ability
    (Data Curation Network, 2023) Guerra, Jodecy
    Blog post by Jodecy Guerra, Data Curation Network (DCN) intern through the National Center for Data Services (NCDS). This post refers to the author's experience as an intern through the NCDS/DCN. These internships are funded with Federal funds from the National Library of Medicine (NLM) and the National Institutes of Health (NIH).
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    A Network Approach to Making the Case
    (Data Curation Network, 2023) Baich, Tina
    Presenting on the US Repository Network, visiting SPARC Program Officer Tina Baich provides a national network approach to making the case for institutional repository services. This was presented as part of the Data Curation Network's Repository Readiness Virtual Learning Series, Summer 2023.
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    Curating Historical Scientific Analog Data
    (2023-09) Farrell, Shannon; Kelly, Julia; Hendrickson, Lois; Mastel, Kristen
    This in-depth case study features speakers Shannon Farrell, Julia Kelly, Lois Hendrickson, and Kristen Mastel from the University of Minnesota Libraries. Building on their recent publication, the presenters will share their experiences discovering and capturing heterogeneous historic data, the various forms the data took, and suggestions for others interested in capturing historical, analog data. Presented September 12, 2023.
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    Making the Case for Institutional [Data] Repository Services: Cross-campus collaboration and leveraging vended solutions
    (Data Curation Network, 2023) Ivey, Susan; Downey, Moira
    Susan and Moira presented from the perspective of a campus-wide approach to a repository, leveraging a vended solution. This was presented as part of the Data Curation Network's Repository Readiness Virtual Learning Series, Summer 2023.
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    Sustaining Open Research: Institutional Repository Readiness and the Illinois Data Bank
    (Data Curation Network, 2023) Imker, Heidi
    This presentation provides a case study from the University of Illinois at Urbana-Champaign, and focuses on their motivation for developing and establishing their home-grown data repository based in the University Library. This was presented as part of the Data Curation Network's Repository Readiness Virtual Learning Series, Summer 2023.
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    Data Curation Network Governance Model v 3, revised June 2023
    (Data Curation Network, 2023) Data Curation Network
    A revised version of the Data Curation Network's Governance Model for fiscal year 2023-2024 (July 1-June 30). This model includes the formal adoption of a Finance Committee.
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    The Quality and Cost of Shared Data
    (Data Curation Network, 2023) Hudson Vitale, Cynthia
    This presentation provides an update on the NSF-funded "Realities of Academic Data Sharing Initiative," including early results on the costs that academic institutions bear to enable public access to research outputs. This was presented as part of the Data Curation Network's Repository Readiness Virtual Learning Series, Summer 2023.