Data Curation Network
Persistent link for this communityhttps://hdl.handle.net/11299/202807
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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Item A Newcomer’s Thoughts on Artificial Intelligence(Data Curation Network, 2024-09) Carlo, Kimberly GisselleExcerpt from the post: "I participated in the NNLM National Center for Data Services (NCDS) internship this summer, with the Data Curation Network (DCN) as a site host, with just a semester from the MLIS program at University at Buffalo under my belt. I was given the opportunity to work and learn from a researcher perspective, as well as to learn what it takes to be a data curator or data librarian. I entered this internship not expecting to use artificial intelligence (AI) at any point. When I found out that was an option to use with AI to curate data, albeit experimentally, I instantly thought to myself, “no, thanks.” I had a view about AI that most people probably have: AI is unethical, it steals work from others, and we don’t understand precisely where this information is originating from. "Item Accessibility Data Curation Primer(Data Curation Network, 2023) Oxford, Emily; Woodbrook, RachelData curators are uniquely positioned to help improve access not just to individual datasets, but to the world of research data at large. As guides to and stewards of data, curators can counsel researchers on how to build accessibility into data planning, collection, analysis, and archiving. This primer is intended as a starting point for data curators who are invested in improving the accessibility of individual files or datasets, rather than as definitive guide. There is far more work to be done than can be addressed in the scope of this primer. Disability is also a complex concept with a diversity of possible presentations, which will present varying (sometimes even conflicting) accessibility needs.Item Annual Report 2021: End of Year Highlights of the Data Curation Network(2021) Johnston, Lisa R; Narlock, MikalaThis report showcases the numerous endeavors the DCN supports, from shared curation to conducting research in Special Interest Groups, active collaborations, and education opportunities. This report also includes an overview of the newly adopted and implemented Governance Model.Item Annual Report 2022: End of Year Highlights of the Data Curation Network(2023) Data Curation NetworkThis report showcases the numerous endeavors the DCN supports, including information about our members, our shared expertise and community of practice, research efforts, and governance. Some highlights from 2022: through our radical collaboration, in which we rely on and support one another, and focus on community-centered professional development, the DCN is recognized for our advocacy and expertise; the DCN is an active research partner, highlighting the work of data stewards in supporting data communities, understanding the costs of academic sharing, and improving the value of data shared by our institutions; the Data Curation Network (DCN) released our 2022-2025 Strategic Framework, which includes 8 key objectives.Item Annual Report 2023: End of Year Highlights of the Data Curation Network(2023-01-31) Data Curation NetworkThis 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.Item ArcGIS Pro Project Package (PPKX) Data Curation Primer(Data Curation Network, 2024) Kernik, Melinda; Work, Amy; Ranganath, Aditya; Martindale, JaimeFrom primer intro: ArcGIS Pro Project Packages are great for researchers sharing files within the same software environment (i.e. ArcGIS Pro), but the proprietary nature of the format and rapid versioning of the software makes decisions about long-term archiving difficult. ... This primer describes tips for opening and reviewing this overarching project file. Curators are encouraged to consult additional DCN Data Primers for curation checklists for component file types (like geodatabases and geotiffs).Item Archaeology Data Primer(Data Curation Network, 2023) Arteaga Cuevas, Maria; Fernandez, Rachel; Wittman, HollisArchaeology is the study of the human past through the analysis of material remains. Preservation of material remains is crucial to the understanding and sharing of different cultures. As many aspects of archaeological methodology destroy the very record they are analyzing, documentation is critical to this field (Richards et al, 2021). Consequently, the analysis and context recorded through these archaeological investigations and the data from artifacts is key. In regards to digital curation, it is important to understand that archaeological data are as varied as the cultures and material that are studied. Thus, this primer will not cover the entire scope of the field of archaeology, but hopes to serve as a starting point for curators and data managers to understand what data is produced and how they can be prepared for reuse.Item Assessing the Satisfaction and Engagement of DCN Curators(Data Curation Network, 2020-10-22) Coburn, LizaThe Data Curation Network collectively curates research data deposited to academic and non-profit data repositories. Curators participating in the DCN, who bring a wide variety of subject and file type expertise, are matched with datasets from across the network of (currently 12) partner repositories. After the first year of piloting the DCN’s shared curation service we determined that a key consideration for a cross-institutional collaboration is the satisfaction of those participating. We launched a brief, anonymous survey in May 2020 to gauge the satisfaction of DCN curators, their engagement with the DCN community, and assess their interest in continuing their participation beyond the current grant phase (May 2018 - June 2021). We received 19 responses from the 24 DCN curators invited to take the survey (79% response rate). This summary report presents our findings and discusses the work done over the subsequent months to address curator feedback and better engage our community members in the DCN going forward.Item Atlas.ti Data Curation Primer(Data Curation Network, 2020-01-03) Corral, MargaritaAltas.ti is a software application that allows researchers to analyze qualitative data in a systematic and transparent way, increasing the validity of results (Friese 2019). ATLAS.ti handles different types of data that are kept in a project. The project files can contain text documents, images, audio recordings, videos, pdf files, geo data, Twitter data, citations from Evernote and reference managers, and survey data. The purpose of this primer is to guide a data curator through the curation process for Altas.ti files.Item Audiovisual Data Curation Primer(Data Curation Network, 2023) Grace, Madina; Jerrild, Meg; Phegley, LaurenThis primer reviews the practices of curating audiovisual data. Data is defined as “facts, ideas, or discrete pieces of information, especially when in the form originally collected and unanalyzed” (Society of American Archivists). Audiovisual data is then discrete pieces of information captured in signals and sound waves that when given context allow the user to create meaning. We believe that what makes something research data is the way it is utilized, as not all data was created initially for research purposes. While audiovisual materials are not a common form of research data in all fields, they have been used in the social sciences, such as behavioral psychology and anthropology, and we have seen a new movement towards audiovisual data in the sciences as well. The increasing affordability of storage space and the continual development of quality recording equipment seem to be driving this new enthusiasm for audiovisual data.Item Beyond compliance: Curation as essential open science infrastructure(2023-10-19) Cowles, Wind; Narlock, MikalaPresented 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.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 Building community Externally: Applying the NIST RDaF to SUNY(Data Curation Network, 2024) Stollar Peters, CatherinePresented at the Summit for Academic Institutional Readiness in Data Sharing (STAIRS), this presentation provides insight into how the SUNY consortium has adopted the NIST Research Data Framework into an evaluative tool.Item Building Community Externally: Operationalizing CARE at ASU(Data Curation Network, 2024) Fernandez, RachelPresented at the Summit for Academic Institutional Readiness in Data Sharing (STAIRS), this presentation provides insight into how Arizona State University is operationalizing the CARE Principles for Indigenous Data Governance.Item Building community Externally: Using the Desirable Characteristics to Evaluate our Repository(Data Curation Network, 2024) Petters, JonathanPresented at the Summit for Academic Institutional Readiness in Data Sharing (STAIRS), this presentation provides insight into how the Desirable Characteristics of Data Repositories for Federally Funded Research can be used to evaluate repositories and connect to the global research ecosystem.Item Building community Internally within the Institution: Costs of Data Management and Sharing(Data Curation Network, 2024) Hofelich Mohr, AliciaPresented at the Summit for Academic Institutional Readiness in Data Sharing (STAIRS), this presentation provides insight into the Realities of Academic Data Sharing Initiative (RADS) based at the Association of Research Libraries (ARL). Thanks to the entire RADS team: Cynthia Hudson Vitale (PI), Shawna Taylor, Jake Carlson, Lizhao Ge, Joel Herndon, Wendy Kozlowski, Jennifer Moore, and Jonathan Petters.Item Building community Internally within the Institution: Developing an Institution-wide Data Policy(Data Curation Network, 2024) Herndon, JoelPresented at the Summit for Academic Institutional Readiness in Data Sharing (STAIRS), this presentation provides insight into how Duke University developed and implemented an institution-wide data policy.Item Building Community Within the Institution: North Carolina State University's Research Facilitation Service(Data Curation Network, 2024) Downey, Moira; Ivey, SusanPresented at the Summit for Academic Institutional Readiness in Data Sharing (STAIRS), this presentation provides insight into the North Carolina State University Research Facilitation Service.Item CARE Data Principles, Indigenous data, Data related to Indigenous Peoples and Interest(Data Curation Network, 2023) Barsness, Sarah; Cummins, Jewel; Fernandez, Maria Victoria; James, Ann Myatt; Pierce Farrier, Katie; Pringle, Jonathan; Carroll, SR; Taitingfong, Riley; Wieker, AlexThe CARE Principle Data Primer is intended to provide an introduction to the CARE Principles for Indigenous Data Governance (Collective benefit, Authority to control, Responsibility and Ethics) and to explore broader topics of equitable data stewardship. The primer will guide information professionals and researchers in understanding Tribal sovereignty, cultural context, and the historical misuse of Indigenous data. Resources will include appropriate labeling of traditional knowledge practices, modern day Tribal reservation locations, and ways to provide culturally responsive data access and use. While the ethics and standards discussed in this primer focus on CARE principles specific to Indigenous communities residing in the contemporary United States, these principles are applicable across many fields of research and communities.Item 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.