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: L. Wynholds Institution: UCLA Institutions ROR: OrcID: https://orcid.org/0000-0002-9066-9773 Curriculum Developer Name: Heather Shimon Institution: University of Wisconsin-Madison Institutions ROR: OrcID: https://orcid.org/0000-0002-4395-0132 Curriculum Developer Name: Fernando Rios Institution: University of Arizona Institutions ROR: OrcID: https://orcid.org/0000-0001-6262-3260 Curriculum Developer Name: Girmaye Misgna Institution: University of Pennsylvania Institutions ROR: Curriculum Mentor and Grant Project Team Liaison Name: Wanda Marsolek Institution: University of Minnesota Institutions ROR: OrcID: https://orcid.org/0000-0002-1771-3969 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/10.24926/2024.265765 -------------------------- 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/Simulations 4. Links/relationships to ancillary data sets: [to be added later] 5. Was data derived from another source? If yes, list source(s): Dataset A: Yang, Huang; Waugh, Darryn W., 2020, "Data associated with Yang et al., 2020, Dependence of Atmospheric Transport into the Arctic on Extent of the Hadley Cell", https://doi.org/10.7281/T1/AWJUGZ, Johns Hopkins Research Data Repository, V1 Dataset B: Do, H. X., Smith, J. P., Fry, L. M., Gronewold, A. D. (2020). Monthly water balance estimates for the Laurentian Great Lakes from 1950 to 2019 (v1.1) [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/tx97-nn12 Dataset C: Horna Munoz, Daniel; Constantinescu, George; Rhoads, Bruce ; Lewis, Quinn; Sukhodolov, Alexander (2020): Confluence Density Effects Simulation Database. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6257171_V1 6. Recommended citation for the materials: Misgna, G., Rios, F., Shimon, H., Wynholds, L., Marsolek, W. 2024. Materials for Simulations Data Curation Curriculum. University of Minnesota Digital Conversancy. https://doi.org/10.24926/2024.265765 --------------------- DATA & FILE OVERVIEW --------------------- File List Simulations_Lesson_Plan.md - The lesson plan Simulations_Lecture_Slides.pdf - Slide deck for the Curation Simulations Based Research Workshop (note another version of the Slide deck is available in Google Slides with lecture notes: https://docs.google.com/presentation/d/1QUE-AdhvZZFzDQhe3SGfrPBtmL-dex6mb06wMVYwBkg/edit?usp=sharing Simulations_glossary.pdf - A glossary of terms related to simulation research Exercise Materials (folder): Simulations_CuratorLog_Example_20230929.pdf - An example of a completed Curator Log Simulations_CuratorLog_Template.txt - A template for a Curator Log Simulations_Worksheet_EvaluatingDataQuality.pdf - A workshop for evaluating the quality of simulations data 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. -