Fundamentals in Data Management for Qualitative and Quantitative Arctic Research

About

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 principles. The CARE principles are guidelines that help ensure open data practices (like the FAIR principles) appropriately engage with Indigenous Peoples’ rights and interests.

Schedule

Code of Conduct

Please note that by participating in this activity you agree to abide by the NCEAS Code of Conduct.

About this book

These written materials reflect the continuous development of learning materials at the Arctic Data Center and NCEAS to support individuals to understand, adopt, and apply ethical open science practices. In bringing these materials together we recognize that many individuals have contributed to their development. The primary authors are listed alphabetically in the citation below, with additional contributors recognized for their role in developing previous iterations of these or similar materials.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Citation: Amber E. Budden, S. Jeanette Clark, Natasha Haycock-Chavez, Noor Johnson, Matthew B. Jones. 2022. Fundamentals in Data Management for Qualitative and Quantitative Arctic Research.

Additional contributors: Stephanie Hampton, Jim Regetz, Bryce Mecum, Julien Brun, Julie Lowndes, Erin McLean, Andrew Barrett, David LeBauer, Jessica Guo.