Curriculum Data Deep Dive: Identifying Data Literacies in the Disciplines
<p><strong>Objective</strong>: Evaluate and examine Data Literacy (DL) in the supported disciplines of four liaison librarians at a large research university.</p> <p><strong>Methods</strong>: Using a framework developed by Prado and Marzal (2013), the study...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
UMass Chan Medical School, Lamar Soutter Library
2020-02-01
|
| Series: | Journal of eScience Librarianship |
| Subjects: | |
| Online Access: | https://escholarship.umassmed.edu/jeslib/vol9/iss1/1 |
| _version_ | 1797972970463821824 |
|---|---|
| author | Christina M. Klenke Teresa Auch Schultz Rayla E. Tokarz Elena S. Azadbakht |
| author_facet | Christina M. Klenke Teresa Auch Schultz Rayla E. Tokarz Elena S. Azadbakht |
| author_sort | Christina M. Klenke |
| collection | DOAJ |
| description | <p><strong>Objective</strong>: Evaluate and examine Data Literacy (DL) in the supported disciplines of four liaison librarians at a large research university.</p>
<p><strong>Methods</strong>: Using a framework developed by Prado and Marzal (2013), the study analyzed 378 syllabi from a two-year period across six departments—Criminal Justice, Geography, Geology, Journalism, Political Science, and Sociology—to see which classes included DLs.</p>
<p><strong>Results</strong>: The study was able to determine which classes hit on specific DLs and where those classes might need more support in other DLs. The most common DLs being taught in courses are Reading, Interpreting, and Evaluating Data, and Using Data. The least commonly taught are Understanding Data and Managing Data skills.</p>
<p><strong>Conclusions</strong>: While all disciplines touched on data in some way, there is clear room for librarians to support DLs in the areas of Understanding Data and Managing Data.</p> |
| first_indexed | 2024-04-11T03:56:48Z |
| format | Article |
| id | doaj.art-e36306fcbf2749e8ac1f5a864fd72bbc |
| institution | Directory Open Access Journal |
| issn | 2161-3974 |
| language | English |
| last_indexed | 2024-04-11T03:56:48Z |
| publishDate | 2020-02-01 |
| publisher | UMass Chan Medical School, Lamar Soutter Library |
| record_format | Article |
| series | Journal of eScience Librarianship |
| spelling | doaj.art-e36306fcbf2749e8ac1f5a864fd72bbc2023-01-02T00:35:52ZengUMass Chan Medical School, Lamar Soutter LibraryJournal of eScience Librarianship2161-39742020-02-0191e116910.7191/jeslib.2020.1169Curriculum Data Deep Dive: Identifying Data Literacies in the DisciplinesChristina M. KlenkeTeresa Auch SchultzRayla E. TokarzElena S. Azadbakht<p><strong>Objective</strong>: Evaluate and examine Data Literacy (DL) in the supported disciplines of four liaison librarians at a large research university.</p> <p><strong>Methods</strong>: Using a framework developed by Prado and Marzal (2013), the study analyzed 378 syllabi from a two-year period across six departments—Criminal Justice, Geography, Geology, Journalism, Political Science, and Sociology—to see which classes included DLs.</p> <p><strong>Results</strong>: The study was able to determine which classes hit on specific DLs and where those classes might need more support in other DLs. The most common DLs being taught in courses are Reading, Interpreting, and Evaluating Data, and Using Data. The least commonly taught are Understanding Data and Managing Data skills.</p> <p><strong>Conclusions</strong>: While all disciplines touched on data in some way, there is clear room for librarians to support DLs in the areas of Understanding Data and Managing Data.</p>https://escholarship.umassmed.edu/jeslib/vol9/iss1/1criminology and criminal justicegeographygeologyjournalism studiespolitical sciencescholarly communicationscholarly publishingsociologydata literaciesdata competenciesresearch data managementdata servicescase studyacademic librariesopen databig datadata skillsreading datainterpreting and evaluating datausing dataunderstanding datamanaging data |
| spellingShingle | Christina M. Klenke Teresa Auch Schultz Rayla E. Tokarz Elena S. Azadbakht Curriculum Data Deep Dive: Identifying Data Literacies in the Disciplines Journal of eScience Librarianship criminology and criminal justice geography geology journalism studies political science scholarly communication scholarly publishing sociology data literacies data competencies research data management data services case study academic libraries open data big data data skills reading data interpreting and evaluating data using data understanding data managing data |
| title | Curriculum Data Deep Dive: Identifying Data Literacies in the Disciplines |
| title_full | Curriculum Data Deep Dive: Identifying Data Literacies in the Disciplines |
| title_fullStr | Curriculum Data Deep Dive: Identifying Data Literacies in the Disciplines |
| title_full_unstemmed | Curriculum Data Deep Dive: Identifying Data Literacies in the Disciplines |
| title_short | Curriculum Data Deep Dive: Identifying Data Literacies in the Disciplines |
| title_sort | curriculum data deep dive identifying data literacies in the disciplines |
| topic | criminology and criminal justice geography geology journalism studies political science scholarly communication scholarly publishing sociology data literacies data competencies research data management data services case study academic libraries open data big data data skills reading data interpreting and evaluating data using data understanding data managing data |
| url | https://escholarship.umassmed.edu/jeslib/vol9/iss1/1 |
| work_keys_str_mv | AT christinamklenke curriculumdatadeepdiveidentifyingdataliteraciesinthedisciplines AT teresaauchschultz curriculumdatadeepdiveidentifyingdataliteraciesinthedisciplines AT raylaetokarz curriculumdatadeepdiveidentifyingdataliteraciesinthedisciplines AT elenasazadbakht curriculumdatadeepdiveidentifyingdataliteraciesinthedisciplines |