This codebook.txt file was generated on 20240926 by Sophia Lafferty-Hess ------------------- GENERAL INFORMATION ------------------- 1. Title: Materials for Code Data Curation Curriculum 2. Author Information Curriculum Developer Name: Talya Cooper Institution: New York University Institutions ROR: https://ror.org/0190ak572 OrcID: https://orcid.org/0000-0003-4241-6330 Curriculum Developer Name: Greg Janée Institution: University of California at Santa Barbara Institutions ROR: https://ror.org/02t274463 OrcID: https://orcid.org/0000-0001-8785-0021 Curriculum Developer Name: Kay P Maye Institution: Tulane University Institutions ROR: https://ror.org/04vmvtb21 OrcID: https://orcid.org/0000-0001-8615-1616 Curriculum Developer Name: Nick Ruhs Institution: Florida State University Institutions ROR: https://ror.org/05g3dte14 OrcID: https://orcid.org/0000-0002-3311-2661 Curriculum Mentor and Grant Project Team Liaison Name: Seth Erickson Institution: University of California at Santa Barbara Institutions ROR: https://ror.org/02t274463 OrcID: https://orcid.org/0000-0002-5570-7201 3. Date of data collection (single date, range, approximate date) 2022-2024 4. Geographic location of data collection (where was data collected?): United States 5. Information about funding sources that supported the collection of the data: Funder name: Institute of Museum and Library Services (IMLS) Award number: RE-252343-OLS-22 Award # uri: https://www.imls.gov/grants/awarded/re-252343-ols-22 6. Contextual description of the data: This curriculum was developed by the geospatial cohort for the Data Curation Network's IMLS grant : Developing Specialized Data Curation Training to Address Needed Expertise in Focused Areas (code, geospatial data, scientific images, simulation data) 7. DOI for the dataset: https://doi.org/10.24926/2024.265764 -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the materials: https://creativecommons.org/licenses/by/4.0/ 2. Links to publications that cite or use the materials: [to be added later] 3. Links to other publicly accessible locations of the data: These files are also available within GitHub: https://github.com/DataCurationNetwork/curation-curriculum/tree/fe797209e53cb41c75330e0e9d9d06f3cb47fec5/Specialized%20Data%20Types/Code 4. Links/relationships to ancillary data sets: [to be added later] 5. Was data derived from another source? If yes, list source(s): Bump, Joseph K; Beyer, Dean; O'Neil, Shawn. (2019). Code, data, and metadata document for the manuscript: Territorial landscapes: incorporating density-dependence into wolf resource selection study designs. Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/s40h-fv72. Heuschele, Deborah; Furuta, Daniel; Smith, Kevin; Marchetto, Peter. (2022). Data and analysis code for "Capturing High Resolution Plant Movement in the Field". Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/7e6x-8f36. 6. Recommended citation for the materials: Cooper, T., Janée, G., Maye, K., Ruhs, N., Erickson, S. 2024. Materials for Code Data Curation Curriculum. University of Minnesota Digital Conversancy. https://doi.org/10.24926/2024.265764 --------------------- DATA & FILE OVERVIEW --------------------- 1. File List Code_Lesson_Plan.pdf - The lesson plan Code_Lecture_Slides.pdf - Slide deck for the Curation Code workshop (note another version of the Slide deck is available in Google Slides with lecture notes available at: https://docs.google.com/presentation/d/1xMkrJkQEYCNNAsMGYCiNqRcN2WXH3P0xXb98O2KtSMk/edit?usp=sharing) Exercise Materials (folder): Code_ChecklistExercise.pdf - Exercise instructions for applying the Code_CurationChecklist to a real dataset Code_CurationChecklist.pdf - Checklist for curating code Code_DepositExample.pdf - Dataset workshop discussion with example dataset Code_ReadmeExample.pdf - An exemplar README file 4. Are there multiple versions of the dataset? There are currently not other versions of this dataset. -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Creators of this dataset were selected through an application process to create the curriculum for DCN Education IMLS 2022-2024 grant 2. Creators met at a kickoff meeting to hear the scope of the project and engage with other specialized areas. In this meeting a planning document was constructed. 3. The team began creating content, and went through an initial peer review which guided further development 4. Creators presented an abbreviated curriculum at meeting of the grant team, other specialized areas and accepted applicants who wished to take the workshop. Feedback was provided to the creators form which they further refined the material. -