Browsing by Author "Marsolek, Wanda"
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Item Crowdsourcing a music playlist for curating data(2022-07-25) Marsolek, Wanda; mars0215@umn.edu; Marsolek, WandaCapstone project for Curating for Reproducibility (CURE) Consortium’s Data CuRe Fellowship (https://curating4reproducibility.org/.) My personal project for the fellowship is to acknowledge and celebrate the humanness of data curation. I created a survey to help crowdsource a music playlist from our colleagues around the world of the music we listen to while curating data. This project was supported by the Institute of Museum and Library Services (IMLS - RE-36-19-0081-19 )Item Data Curation Network End User Survey 2021(2021-09-28) Wright, Sarah; Johnston, Lisa; Marsolek, Wanda; Luong, Hoa; Braxton, Susan; Lafferty-Hess, Sophia; Herndon, Joel; Carlson, Jake; jw256@cornell.edu; Wright, Sarah; Data Curation NetworkThis dataset includes the processed dataset from the 2021 End User Survey performed by the Data Curation Network.Item Data Sharing: Natural Resources Researchers Use of Journals and Institutional Repositories(2017) Farrell, Shannon L.; Marsolek, WandaItem Examining Grey Literature Use, Citation, and Creation Practices of Faculty at a Large Institution(2018-12-04) Cooper, Kristen; Riegelman, Amy; Marsolek, Wanda; Farrell, Shannon; Julie, KellyItem Facilitating Connections Through the Data Curation Network(2020-03) Coburn, Elizabeth; Marsolek, Wanda; Wilson, KatieItem Faculty Experiences With Grey Literature: A Mixed Methods Approach(2018-10-11) Cooper, Kristen; Riegelman, Amy; Marsolek, Wanda; Farrell, Shannon; Kelly, JuliaAs academic librarians, we are acutely aware of the challenges in locating grey literature. In our recent mixed-methods research we surveyed and conducted interviews to investigate how tenured and tenure-track faculty at the University of Minnesota experience grey literature in terms of finding, citing, and creating. The poster will share the preliminary results of our research and will help attendees understand 1) the multiple different types of resources that are considered grey literature as well as 2) other aspects of grey literature including why it is desirable in evidence synthesis as researchers attempt to address publication bias.Item Faculty Perceptions of Grey Literature: A Qualitative Analysis of Faculty Interviews. Grey Journal (TGJ), 16(3).(2020) Marsolek, Wanda; Cooper, Kristen; Riegelman, Amy L.; Farrell, Shannon L.; Kelly, Julia A.To examine the use, field perception, citation practices, creation, methods for finding, and dissemination of grey literature, this study used interviews of faculty at a large Rl university. Further, interviewees were asked specifically about one type of grey literature - preprints - as well as about ways in which libraries could support their overall grey literature goals. The study findings included concerns about the challenges of finding known items and the unstable nature of web pages. Some less expected findings included the use of grey literature in undergraduate instruction as well as faculty creation of grey literature for lay audiences. In terms of implications for practice, librarians could use these findings to inform long term preservation practices as well as access to institutional repositories.Item Grey literature: Advocating for diverse voices, increased use, improved access, and preservation(College & Research Libraries News, 2021) Marsolek, Wanda; Farrell, Shannon L; Kelly, Julia A; Cooper, KristenGrey literature (GL), or works that are more ephemeral in nature and not produced by traditional publishers, plays an important role in research and teaching. Some disciplines, such as economics and forestry, rely on and value GL for how it allows rapid dissemination of information. Additionally, as systematic reviews become increasingly popular in a wider variety of disciplines, the focus on GL has intensified due to guidelines calling for its inclusion. These factors led the authors to further explore the role of GL across disciplines of our institution. We examined the current levels of GL in databases and institutional repositories, and surveyed and interviewed faculty on their relationship with GL. This research found a lack of diverse voices in GL holdings and issues in preservation and access. Libraries are well situated to address these issues and in this article we argue that they should: increase the collection of diverse voices in GL, preserve digital born materials, and provide access to GL. Finally, we offer several ways that libraries can accomplish this goal.Item Groove is in the Heart: Trust and Vulnerability in Collaboration(2022) Blake, Mara; Marsolek, Wanda; Narlock, Mikala R.As members of a sustainable and successful collaborative network, we wanted to remove the magic and mystery of collaboration and unpack the emotional, mental, and technical labor that went into establishing this network. Through a project retrospective, we uncovered the need for radical interdependence, vulnerability and trust. This was presented at the 2022 Digital Library Federation Forum in Baltimore, Maryland.Item Making Data Right: Embedding Ethics and Data Management in Data Science Instruction(IGI Global, 2022) Marsolek, Wanda; Barrick, Katie; Kubas, Alicia; McBurney, Jenny; Hofelich Mohr, AliciaLearning how to wield data ethically and responsibly is a critical skill for data scientists, but one that is often lacking from traditional curriculum. Libraries have a long history of teaching data stewardship and sharing, and, in collaboration with collegiate research support entities, are good candidates to expose students engaging in data science to data ethics. This chapter presents four case studies on how the University of Minnesota Libraries and its partners have deeply integrated ethics into data management instruction. The chapter will highlight ethics for general data management instruction to undergraduate and graduate students from various disciplines, human subject data de-identification, qualitative methods and sharing, and biodiversity location data. Together, the case studies show how libraries and their partners are a natural fit to advance the work of data science curricula when it comes to managing data and the myriad ethical considerations that go along with this work.Item Oral History Interviews Data Curation Primer(Data Curation Network, 2021-03-10) Pryse, JA; Harp, Matthew; Mannheimer, Sara; Marsolek, Wanda; Cowles, WindItem Researcher Approved: a Multi-institutional Survey of Depositors to Six Academic Data Repositories(2022) Wright, Sarah; Marsolek, Wanda; Luong, Hoa; Braxton, Susan; Lafferty-Hess, Sophia; Carlson, JakeThe Data Curation Network (DCN) is a collaborative network of curators advancing open research by making data more ethical, reusable, and understandable. Institutional members participate in and learn from a community of expert data curators and curate data via a cross-institutional shared staffing model. This enables institutions to submit data sets to the network when they are outside of our local expertise or when local curators are busy or absent. The collaborative network model benefits our curators; however we questioned whether there is an impact on depositors. In order to evaluate end user satisfaction with data curation services, we surveyed recent depositors over the past year and a half, regardless of whether they received curation locally or from DCN curators. The result was overwhelmingly positive: we enjoyed a high response rate and consistently laudatory feedback including many free-text responses testifying to the value of curation. In times of tight budgets and constricting services, it is good to have researcher testimonials and survey data to indicate the added value of curatorial review to the data sharing process, and evidence that a collaborative network of data curators benefits us all.Item Retrospectively purchasing ebooks to amplify diverse voices and perspectives at the University of Minnesota Libraries(2022-01-20) Carter, Sunshine J; Clarke, KL; Grant, Malaika; Marsolek, Wanda; Nelsen, KatherineItem University of Minnesota Libraries Response to "National Institute on Aging (NIA) Request for Information (RFI) on Data Management, Sharing, and Secondary Data Use Challenges and Opportunities" (2024)(2024-06-13) University Libraries; Hofelich Mohr, Alicia; Hunt , Shanda; Farrell, Shannon; Narlock, Mikala; Marsolek, WandaItem University of Minnesota Libraries Response to “Notice of Second Interested Party Feedback Period Regarding Increasing Public Access to the Results of USDA-Funded Research” (2024)(2024-02) University Libraries; Langham-Putrow, Allison; Farrell, Shannon; Marsolek, Wanda; Hunt, ShandaItem Update on the Data Curation Network: RDAP 2021(2021-03-11) Petters, Jonathan; Marsolek, WandaBegun in 2016, the Data Curation Network is a network of US research data curators who pool their expertise to improve the reusability of datasets. In this lightning talk the recent and future activities of the Network will be discussed. The Network is soon ending its Sloan Foundation-funded phase and will be transitioning to a member-sustaining network. This transition and sustainability plan and how other research data curation services may participate in the Network in the future will be discussed. The Network’s newer initiative to address racial justice through its actions will be highlighted.Item Value of Curation Webinar Slides(Data Curation Network, 2024) Lafferty-Hess, Sophia; Luong, Hoa; Marsolek, Wanda; Wright, SarahWhat 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.