This codebook.txt file was generated on 20240926 by Sophia Lafferty-Hess


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GENERAL INFORMATION
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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) <suggested format YYYYMMDD>
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


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SHARING/ACCESS INFORMATION
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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



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DATA & FILE OVERVIEW
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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.
 


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METHODOLOGICAL INFORMATION
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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.



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