From 3f769566296a3c858262aa9861b169db42c26bb9 Mon Sep 17 00:00:00 2001 From: camilavargasp Date: Fri, 12 Jul 2024 16:04:40 -0700 Subject: [PATCH] Adding index page fpr all of ADC 2024 trainings --- content/events/2024-01-arctic/index.md | 45 ++++++++++++++++++++++ content/events/2024-02-arctic/index.md | 53 ++++++++++++++++++++++++++ content/events/2024-03-arctic/index.md | 43 +++++++++++++++++++++ 3 files changed, 141 insertions(+) create mode 100644 content/events/2024-01-arctic/index.md create mode 100644 content/events/2024-02-arctic/index.md create mode 100644 content/events/2024-03-arctic/index.md diff --git a/content/events/2024-01-arctic/index.md b/content/events/2024-01-arctic/index.md new file mode 100644 index 00000000..8fde773c --- /dev/null +++ b/content/events/2024-01-arctic/index.md @@ -0,0 +1,45 @@ +--- +title: "Fundamentals in Data Management for Qualitative and Quantitative Arctic Research" +output: + html_document: + df_print: paged +type: page +tags: ["Arctic Data Center"] +date: 2024-01-22 +--- + + + +__Dates__: January 22 - 26, 2024
+__Location__: NCEAS
+__Venue__: Santa Barbara, CA + +This 5-day in-person workshop will provide researchers with an overview of reproducible and ethical research practices, steps and methods for more easily documenting and preserving their data at the Arctic Data Center, and an introduction to programming in R. Special attention will be paid to qualitative data management, including practices working with sensitive data. Example datasets will draw from natural and social sciences, and methods for conducting reproducible research will be discussed in the context of both qualitative and quantitative data. Responsible and reproducible data management practices will be discussed as they apply to all aspects of the data life cycle. This includes ethical data collection and data sharing, data sovereignty, and the [CARE](https://www.gida-global.org/care) principles. The CARE principles are guidelines that help ensure open data practices (like the FAIR principles) appropriately engage with Indigenous Peoples’ rights and interests. + + + +## Materials + +[Link to course materials](https://learning.nceas.ucsb.edu/2024-01-arctic/) + + +## Instructors + +|Name | Email | +|-------------|--------------------| +|Matt Jones | jones@nceas.ucsb.edu | +|Camila Vargas Poulsen |vargas-poulsen@nceas.ucsb.edu| +|Angie Garcia | agarcia@nceas.ucab.edu | +|Justin Kadi | jeakadi@nceas.ucsb.edu| +|Maggie Klope | mmklope@nceas.ucsb.edu| +|Natasha Haycock-Chavez | haycock-chavez@nceas.ucsb.edu| + + + +## Acknowledgements + +Work was supported by: + +- [NSF award #1546024](http://www.nsf.gov/awardsearch/showAward?AWD_ID=1546024) to M. B. Jones, S. Baker-Yeboah, A. Budden, J. Dozier, and M. Schildhauer + +Additional support was provided for working group collaboration by the National Center for Ecological Analysis and Synthesis, a Center funded by the University of California, Santa Barbara, and the State of California. \ No newline at end of file diff --git a/content/events/2024-02-arctic/index.md b/content/events/2024-02-arctic/index.md new file mode 100644 index 00000000..dfbb48bd --- /dev/null +++ b/content/events/2024-02-arctic/index.md @@ -0,0 +1,53 @@ +--- +title: "Reproducible Practices for Arctic Research Using R" +output: + html_document: + df_print: paged +type: page +tags: ["Arctic Data Center"] +date: 2024-02-26 +--- + + + +__Dates__: February 26 - March 1, 2024
+__Location__: Online
+ + +This 5-day remote workshop will provided researchers with an overview of best data management practices, data science tools for cleaning and analyzing data, and concrete steps and methods for more easily documenting and preserving their data at the Arctic Data Center. Example tools included R, Rmarkdown, and git/GitHub. This course provided background in both the theory and practice of reproducible research, spanning all portions of the research life cycle, from ethical data collection following the CARE principles to engage with local stakeholders, to data publishing.. + +## Overview: + +Workshop topics will include: + +* Literate analysis (Quarto), +* Data wrangling (tidyr/dplyr), +* Data publishing, +* Visualization (ggplot2/sf), +* Code versioning (git), +* Ethical data procedures (CARE principles) + + +For more detailed information on how to prepare for the workshop, see preparing for the workshop (below). + +## Materials + +[Link to course materials](https://learning.nceas.ucsb.edu/2024-02-arctic/) + + +## Organizers + +|Name | Email | +|-------------|--------------------| +|Jeanette Clark| jclark@nceas.ucsb.edu | +|Camila Vargas-Poulsen| vargas-poulsen@nceas.ucsb.edu | +|Angie Garcia | agarcia@nceas.ucab.edu | +|Justin Kadi | jeakadi@nceas.ucsb.edu| +|Maggie Klope | mmklope@nceas.ucsb.edu| + +## Acknowledgements +Work on this package was supported by: + +- [NSF award #1546024](http://www.nsf.gov/awardsearch/showAward?AWD_ID=1546024) to M. B. Jones, S. Baker-Yeboah, A. Budden, J. Dozier, and M. Schildhauer + +Additional support was provided for working group collaboration by the National Center for Ecological Analysis and Synthesis, a Center funded by the University of California, Santa Barbara, and the State of California. diff --git a/content/events/2024-03-arctic/index.md b/content/events/2024-03-arctic/index.md new file mode 100644 index 00000000..993143f0 --- /dev/null +++ b/content/events/2024-03-arctic/index.md @@ -0,0 +1,43 @@ +--- +title: "Scalable and Computationally Reproducible Approaches to Arctic Research" +output: + html_document: + df_print: paged +type: page +tags: ["Arctic Data Center"] +date: 2024-03-25 +--- + + + +__Dates__: March 25-29, 2024
+__Location__: NCEAS
+__Venue__: Santa Barbara, CA + +This 5-day in-person workshop will provide researchers with an introduction to advanced topics in computationally reproducible research in python, including software and techniques for working with very large datasets. This includes working in cloud computing environments, docker containers, and parallel processing using tools like parsl and dask. The workshop will also cover concrete methods for documenting and uploading data to the Arctic Data Center, advanced approaches to tracking data provenance, responsible research and data management practices including data sovereignty and the CARE principles, and ethical concerns with data-intensive modeling and analysis. + + + +## Materials + +[Link to course materials](https://learning.nceas.ucsb.edu/2024-03-arctic/) + + +## Instructors + +|Name | Email | +|-------------|--------------------| +|Matt Jones | jones@nceas.ucsb.edu| +|Jeanette Clark | jclark@nceas.ucsb.edu | +|Angie Garcia | agarcia@nceas.ucab.edu | +|Justin Kadi | jeakadi@nceas.ucsb.edu| +|Maggie Klope | mmklope@nceas.ucsb.edu| +|Angel Chen | anchen@nceas.ucsb.edu| + +## Acknowledgements + +Work was supported by: + +- [NSF award #2042102](http://www.nsf.gov/awardsearch/showAward?AWD_ID=2042102) to M. B. Jones, A. Budden, J. Dozier, and M. Schildhauer + +Additional support was provided for working group collaboration by the National Center for Ecological Analysis and Synthesis, a Center funded by the University of California, Santa Barbara, and the State of California.