Browsing by Author "Moore, Jennifer"

Now showing 1 - 7 of 7
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    CURATE(D) Fundamentals Workshop
    (Data Curation Network, 2024) Hudson Vitale, Cynthia; Hadley, Hannah; Wham, Briana; Borda, Susan; Carlson, Jake; Darragh, Jennifer; Fearon, David; Herndon, Joel; Hunt, Shanda; Johnston, Lisa R.; Kalt, Marley; Kozlowski, Wendy; Lafferty-Hess, Sophia; Marsolek, Wanda; Moore, Jennifer; Narlock, Mikala; Scott, Dorris; Wheeler, Jon; Woodbrook, Rachel; Wright, Sarah; Yee, Michelle; Lake, Sherry
    Slides developed for the CURATE(D) Fundamentals workshops. These materials only include the lecture slides and have removed associated exercises and institutional examples used in synchronous trainings. See the CURATE(D) modules [https://datacurationnetwork.github.io/CURATED/] for exercises to work through the CURATE(D) steps or contact the DCN to discuss partnering on a in-person workshop.
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    GeoDatabase (.gdb) Data Curation Primer
    (Data Curation Network, 2019) Battista, Andrew; Brittnacher, Tom; Garrett, Zenobie; Moore, Jennifer; Pirmann, Carrie
    The geodatabase is a container for geospatial datasets that can also provide relational functionality between the files. Although the term geodatabase can be used more widely, this primer describes the ArcGIS geodatabase designed by Esri.
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    Geospatial Curation Curriculum
    (Data Curation Network, 2024) Christiansen, Leighton L.; Grove, Kelly; Kernik, Melinda; Norris, Timothy; Moore, Jennifer
    A collection of materials used to instruct individuals how to curate geospatial data. This is primarily targeted towards data stewards, but can be used by any and all when instructing on geospatial data curation. Includes modules for ease of use. Copies of files are also available in GitHub [https://github.com/DataCurationNetwork/curation-curriculum/tree/main/Specialized%20Data%20Types], which represent the dynamic versions of the curriculum that might be updated and revised as the curriculum is iterated upon.
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    Human Subjects Data Essentials Data Curation Primer
    (Data Curation Network, 2020) Darragh, Jen; Hofelich Mohr, Alicia; Hunt, Shanda; Woodbrook, Rachel; Fearon, Dave; Moore, Jennifer; Hadley, Hannah
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    IASSIST / DCN Data Curation Workshop
    (2018-05-30) Moore, Jennifer; Blake, Mara; Sedlins, Mara; Kozlowski, Wendy
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    Institutional data repositories are vital
    (Science, 2024-09) Darragh, Jen; Narlock, Mikala R.; Burns, Halle; Cerda, Peter A.; Cowles, Wind; Delserone, Leslie; Erickson, Seth; Herndon, Joel; Imker, Heidi; Johnston, Lisa R.; Lake, Sherry; Lenard, Michael; Hofelich Mohr, Alicia; Moore, Jennifer; Petters, Jonathan; Pullen, Brandie; Taylor, Shawna; Wham, Briana
    As funding agencies and publishers reiterate research data sharing expectations, many higher-education institutions have demonstrated their commitment to the long-term stewardship of research data by connecting researchers to local infrastructure, with dedicated staffing, that eases the burden of data sharing. Institutional repositories are an example of this investment. They provide support for researchers in sharing data that might otherwise be lost: data without a disciplinary repository, data from projects with limited funding, or data that are too large to sustainably store elsewhere. The staffing and technical infrastructure provided by institutional repositories ensures responsible access to information while considering long-term preservation and alignment with international standards. To ensure continued access to invaluable research data, it is essential that publishers and funding agencies recognize institutional repositories as responsible and reliable data sharing solutions.
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    An Update on Data Curation Primers: Collaborative Resources for Data Curators
    (2020-03) Hudson Vitale, Cynthia; Hadley, Hannah; Herndon, Joel; Darragh, Jennifer; Lafferty-Hess, Sophia; Johnston, Lisa R; Hunt, Shanda; Blake, Mara; Fearon, Dave; Moore, Jennifer; Carlson, Jake; Borda, Susan; Kozlowski, Wendy