Open Science


Supporting Open Science at the NNA-CO

Open science facilitates transparent, reproducible science through sharing data, methods and software used in research, as well as through open access to the results of that research.  It also encourages diversity within and access to research not only for academic but also for non-academic participants.  As such, open science aligns with the NNA-CO strategic goals of co-production of knowledge, and education and outreach.

The NNA-CO will promote and share resources for the openness, integrity, and reproducibility of NNA-funded research.  We will collaborate with the NSF Arctic Data Center (ADC) to create greater awareness amongst NNA investigators of data requirements, and of available resources for archiving their datasets with ADC for spatial, temporal, and thematic discoverability.  We will support researchers in managing and archiving data; applying the principles of Open Data to their research (FAIR Principles & CARE Principles); and understanding best practices as they deal with different data types (for example, physical environmental observations vs. social science data vs. Indigenous community data).  Following our Guiding Principles, we will work to broaden the involvement of Indigenous communities and underrepresented groups in Arctic science through promoting open and equitable access to data and results.  Working with the NNA-CO Advisory Boards, NNA researchers, and the wider research community, we will facilitate the development of best practices for open science in the context of interdisciplinary and collaborative Arctic research while recognizing and upholding Indigenous data sovereignty.

A useful guide to open science principles, and to strategies and tools for adopting these principles can be found below:

Do You Speak Open Science? Resources and tips to learn the language

To watch the September 2023 NNA-CO open science webinar, "Making Arctic Science Open Science," please visit this page.


General Reading

Why NASA and federal agencies are declaring this the Year of Open Science
Gentemann, C.

An introduction to NASA's Open Science strategy and why it is important

Open Software Means Kinder Science
Lowndes, J. S.

Thinking about Open Science in terms of collaboration and human interactions  

Transform to Open Science — NASA's Transform to Open Science Mission

A practical guide to implementing open science practices as an individual, within a research team and in an organization from the NASA TOPS program.

Ten simple rules for implementing open and reproducible research practices after attending a training course
Heise, V., Holman, C., Lo, H., Lyras, E. M., Adkins, M. C., Aquino, M. R. J., Bougioukas, K. I., Bray, K. O., Gajos, M., Guo, X., Hartling, C., Huerta-Gutierrez, R., Jindrová, M., Kenney, J. P. M., Kępińska, A. P., Kneller, L., Lopez-Rodriguez, E., Mühlensiepen, F., Richards, A., Richards, G., Siebert, M., Smith, J. A., Smith, N., Stransky, N., Tarvainen, S., Valdes, D. S., Warrington, K. L., Wilpert, N., Witkowska, D., Zaneva, M., Zanker, J., & Weissgerber, T. L.

A guide to navigating the often overwhelming landscape of Open Science practices and where to start. 

Rethinking academia in a time of climate crisis
Urai, A. E., & Kelly, C.

What institutional changes need to take place to facilitate science for society.

FACT SHEET: Biden-Harris Administration Announces New Actions to Advance Open and Equitable Research OSTP
White House OSTP

The White House OSTP memo announcing 2023 as the Federal Year of Open Science.  

Open Science: Best Practices, Data Sovereignty and Co-production Booklet
Andrew Barrett, Amber E. Budden, S. Jeanette Clark, Natasha Haycock-Chavez, Noor Johnson, Matthew B. Jones, Peter Pulsifer, James Temte, Karli Tyance Hassell.

These materials reflect a collaboration between the Arctic Data Center, the Navigating the New Arctic Community Office, and ELOKA as part of our organizational commitments to raising awareness and promoting best practices in data management, increasing data literacy, and engaging the community in conversations about data governance.


Reproducible Research

Best Practices for Scientific Computing
Wilson, G., Aruliah, D. A., Brown, C. T., Hong, N. P. C., Davis, M., Guy, R. T., Haddock, S. H. D., Huff, K. D., Mitchell, I. M., Plumbley, M. D., Waugh, B., White, E. P., & Wilson, P.

A guide to scientific software development.

Good enough practices in scientific computing
Wilson, G., Bryan, J., Cranston, K., Kitzes, J., Nederbragt, L., & Teal, T. K.

A guide to data management, programming, collaborating with colleagues, organizing projects, tracking work, and writing manuscripts for reproducible research.

Building reproducible analytical pipelines with R
Rodrigues, B.

How to do reproducible research and what tools to use.  


Open Access Publishing

Credit Where Credit Is Due
Parsons, M., Katz, D., Langseth, M., Ramapriyan, H., & Ramdeen, S.

Why all contributions to research need to be acknowledged. 


Open Data

Fundamentals in Data Management for Qualitative and Quantitative Arctic Research
Amber, E. B., Clark, S. J., Haycock-Chavez, N., Johnson, N., & Jones, M. B.

An Arctic Data Center course on how to manage data for qualitative and quantitative research. 

Tidy Data
Wickham, H.

How to create tidy datasets that make working with data easier and more efficient.