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.

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.

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.

Dates: March 27-31, 2023 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.

Dates: February 27 - March 3, 2023 Location: Online Venue: NCEAS, 735 State St., Suite 300, UC Santa Barbara 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 lifecycle, from ethical data collection following the CARE principles to engage with local stakeholders, to data publishing.

Dates: January 30 - February 3, 2023 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.

Dates: September 19 - 23, 2022 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.

Dates: April 18 - 22, 2022 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.

Dates: February 14 - February 19, 2022 Location: Online Venue: NCEAS, 735 State St., Suite 300, UC Santa Barbara The Arctic Data Center provides training in data science and data management, as these are critical skills for the stewardship of the data, software, and other research products that are preserved in the Arctic Data Center. A goal of the Arctic Data Center is to advance data archiving and promote reproducible science and data reuse.

Dates: March 29, 2022 Location: Arctic Science Summit Week Venue: Tromso, Norway This workshop is a collaboration between the Arctic Data Center, ELOKA and the NNA Community Office, and will focus on the presentation of open science principles and best practices. Open science will be explored from the lens of reproducibility of research, Indigenous data sovereignty, and community data management. A combination of presentation and discussion will introduce participants to key topics, detail current recommended practices and highlight areas for future research.

Dates: October 19 - October 23, 2020 Location: Online Venue: NCEAS, 735 State St., Suite 300, UC Santa Barbara The Arctic Data Center provides training in data science and data management, as these are critical skills for the stewardship of the data, software, and other research products that are preserved in the Arctic Data Center. A goal of the Arctic Data Center is to advance data archiving and promote reproducible science and data reuse.

Dates: October 7 - October 11, 2019 Location: Santa Barbara, CA Venue: NCEAS, 735 State St., Suite 300, UC Santa Barbara The Arctic Data Center provides training in data science and data management, as these are critical skills for the stewardship of the data, software, and other research products that are preserved in the Arctic Data Center. A goal of the Arctic Data Center is to advance data archiving and promote reproducible science and data reuse.

Dates: February 11 - February 15, 2019 Location: Santa Barbara, CA Venue: NCEAS, 735 State St., Suite 300, UC Santa Barbara The Arctic Data Center provides training in data science and data management, as these are critical skills for the stewardship of the data, software, and other research products that are preserved in the Arctic Data Center. A goal of the Arctic Data Center is to advance data archiving and promote reproducible science and data reuse.

Dates: January 14 - January 18, 2019 Location: Santa Barbara, CA Venue: NCEAS, 735 State St., Suite 300, UC Santa Barbara The Arctic Data Center provides training in data science and data management, as these are critical skills for the stewardship of the data, software, and other research products that are preserved in the Arctic Data Center. A goal of the Arctic Data Center is to advance data archiving and promote reproducible science and data reuse.

Dates: August 13 - August 17, 2018 Location: Santa Barbara, CA Venue: NCEAS, 735 State St., Suite 300, UC Santa Barbara The Arctic Data Center provides training in data science and data management, as these are critical skills for the stewardship of the data, software, and other research products that are preserved in the Arctic Data Center. A goal of the Arctic Data Center is to advance data archiving and promote reproducible science and data reuse.

Dates: June 22, 2018 12:30 to 14:00 Location: Davos, Switzerland Venue: POLAR 2018 Open Science Conference This hands-on session will cover (1) Open data archives, especially the Arctic Data Center; (2) What science metadata is and how it can be used; (3) How data and code can be documented and published in open data archives; (4) Web-based submission, and (5) Submission using R (pending sufficient time). Course overview The Arctic Data Center conducts training in data science and management, both of which are critical skills for stewardship of data, software, and other products of research that are preserved at the Arctic Data Center.

Dates: July 31 - Aug 1, 2017 Location: Santa Barbara, CA Venue: NCEAS, 735 State St., Suite 300, UC Santa Barbara The Arctic Data Center provides training in data science and data management, as these are critical skills for the stewardship of the data, software, and other research products that are preserved in the Arctic Data Center. A goal of the Arctic Data Center is to advance data archiving and promote reproducible science and data reuse.