@article{downey_lafferty-hess_charbonneau_zoss_2021, title={Engaging Researchers in Data Dialogues: Designing Collaborative Programming to Promote Research Data Sharing}, url={https://doi.org/10.7191/jeslib.2021.1193}, DOI={10.7191/jeslib.2021.1193}, abstractNote={A range of regulatory pressures emanating from funding agencies and scholarly journals increasingly encourage researchers to engage in formal data sharing practices. As academic libraries continue to refine their role in supporting researchers in this data sharing space, one particular challenge has been finding new ways to meaningfully engage with campus researchers. Libraries help shape norms and encourage data sharing through education and training, and there has been significant growth in the services these institutions are able to provide and the ways in which library staff are able to collaborate and communicate with researchers. Evidence also suggests that within disciplines, normative pressures and expectations around professional conduct have a significant impact on data sharing behaviors (Kim and Adler 2015; Sigit Sayogo and Pardo 2013; Zenk-Moltgen et al. 2018). Duke University Libraries' Research Data Management program has recently centered part of its outreach strategy on leveraging peer networks and social modeling to encourage and normalize robust data sharing practices among campus researchers. The program has hosted two panel discussions on issues related to data management—specifically, data sharing and research reproducibility. This paper reflects on some lessons learned from these outreach efforts and outlines next steps.}, journal={Journal of eScience Librarianship}, author={Downey, Moira and Lafferty-Hess, Sophia and Charbonneau, Patrick and Zoss, Angela}, year={2021}, month={Mar} }
 @article{conceptualizing data curation activities within two academic libraries_2020, url={http://dx.doi.org/10.7710/2162-3309.2347}, DOI={10.7710/2162-3309.2347}, abstractNote={INTRODUCTION As funders and journals increasingly create policies that require effective data management and data sharing, many institutions have developed research data management (RDM) programs to help researchers meet these mandates. While there is not a standard set of services for these RDM programs, some institutions, particularly those with repositories that accept data deposits, provide data curation services as a way to add value to research data and help make data more accessible and reusable. Stakeholder communities within the field, such as the Data Curation Network (DCN), are also developing guidelines, procedures, and best practices to support and expand data curation practices. DESCRIPTION OF PROJECT This paper examines the data curation activities defined by the DCN, and describes an activity undertaken by library staff at Duke University and the University of North Carolina at Chapel Hill to create a structured model of these tasks to more easily conceptualize and communicate data curation within these two institutional settings. The purpose of this paper is to describe how this model provided a basis for the implementation and expansion of data curation services at each institution and concludes with overall lessons learned. NEXT STEPS As we develop our services, libraries have an opportunity to make the often-invisible work of curation more transparent. This paper aims to provide a point of reference for other libraries as they consider how to scale up their data curation programs as well as contribute to discussions around prioritization of services, program assessment, and communication with stakeholders.}, journal={Journal of Librarianship and Scholarly Communication}, year={2020}, month={Jul} }
 @inproceedings{downey_darragh_gatlin_lafferty-hess_2020, place={Santa Fe, NM}, title={Reaching Across Campus: Designing Cross-disciplinary Programming to Promote Research Data Sharing}, url={https://osf.io/y9er6/}, note={United States.}, booktitle={Research Data Access and Preservation Annual Summit}, author={Downey, M. and Darragh, J. and Gatlin, S. and Lafferty-Hess, S.}, year={2020}, month={Mar} }
 @inproceedings{lafferty-hess_downey_2019, place={Washington DC}, title={ The Evolution of a Research Data Management and Curation Program: Candid Reflections and Considerations}, url={https://www.cni.org/wp-content/uploads/2020/01/CNI_Evolution_Lafferty-Hess.pdf}, note={Retrieved from:}, booktitle={Fall meeting of the Coalition for Networked Information}, author={Lafferty-Hess, S. and Downey, M.}, year={2019}, month={Dec} }
 @article{downey_2019, title={Assessing Author Identifiers: Preparing for a Linked Data Approach to Name Authority Control in an Institutional Repository Context}, volume={19}, url={https://doi.org/10.1080/19386389.2019.1590936}, DOI={10.1080/19386389.2019.1590936}, abstractNote={Abstract Linked data solutions for name authority control in digital libraries are an area of growing interest, particularly among institutional repositories (IRs). This article first considers the shift from traditional authority files to author identifiers, highlighting some of the challenges and possibilities. An analysis of author name strings in Duke University's open access repository, DukeSpace, is conducted to identify a suitable source of author URIs for Duke's newly launched repository for research data. Does one of the three prominent international authority sources—Library of Congress Name Authority File (LCNAF), Virtual International Authority File (VIAF), and Open Researcher and Contributor Identifier (ORCID)—demonstrate the most comprehensive uptake? Finally, recommendations surrounding a technical approach to leveraging author Uniform Resource Identifiers (URIs) at Duke are briefly considered.}, number={1-2}, journal={Journal of Library Metadata}, publisher={Informa UK Limited}, author={Downey, Moira}, year={2019}, month={Apr}, pages={117–136} }
 @article{lafferty-hess_rudder_downey_ivey_darragh_2018, title={Conceptualizing Data Curation Activities Within Two Academic Libraries}, volume={5}, url={http://osf.io/preprints/lissa/zj5pq}, DOI={10.31229/osf.io/zj5pq}, abstractNote={A growing focus on sharing research data that meet certain standards, such as the FAIR guiding principles, has resulted in libraries increasingly developing and scaling up support for research data. As libraries consider what new data curation services they would like to provide as part of their repository programs, there are various questions that arise surrounding scalability, resource allocation, requisite expertise, and how to communicate these services to the research community. Data curation can involve a variety of tasks and activities. Some of these activities can be managed by systems, some require human intervention, and some require highly specialized domain or data type expertise. At the 2017 Triangle Research Libraries Network Institute, staff from the University of North Carolina at Chapel Hill and Duke University used the 47 data curation activities identified by the Data Curation Network project to create conceptual groupings of data curation activities. The results of this “thought-exercise” are discussed in this white paper. The purpose of this exercise was to provide more specificity around data curation within our individual contexts as a method to consistently discuss our current service models, identify gaps we would like to fill, and determine what is currently out of scope. We hope to foster an open and productive discussion throughout  the larger academic library community about how we prioritize data curation activities as we face growing demand and limited resources.}, publisher={LIS Scholarship Archive}, author={Lafferty-Hess, Sophia and Rudder, Julie and Downey, Moira and Ivey, Susan and Darragh, Jen}, year={2018} }