Monthly Data Resources: October 2020

Every month, the ResearchDataQ editorial board will collect and share info on data-related events, publications, and other resources that may be of interest to the DSS community. 

Thanks to Jean-Paul Courneya, MS (Bioinformationist, University of Maryland, Baltimore) for his resource suggestions this month.

Have an appropriate item to share in a future Data Resources email? Submit your suggestions here: https://researchdataq.org/suggest-a-topic/ 

Upcoming Events and Opportunities:

The Artificial Intelligence for Data Discovery and Reuse (AIDR) virtual conference Monday, October 19, held in conjunction with the Open Science Symposium, Tuesday, October 20, sponsored by Carnegie Mellon University Libraries and Department of Computer Science. Register here for both conferences.

Open Access Week is October 19-25. The theme for this year is “Open with Purpose: Taking Action to Build Structural Equity and Inclusion.” Check out these ACRL resources to help you celebrate the week, including a free webinar Wednesday, October 21, 2pm Eastern time.

The Research Data Management Webinar Series offered by the Network of the National Library of Medicine (NNLM) is back. Find details here for their October webinar on ethics and data visualization with presenters Nicole Contaxis and Fred LaPolla, taking place Thursday, October 22, 2pm-3pm Eastern time.

Open peer review call for the Open Data Section (edited by Brianna Marshall) of the upcoming open textbook Scholarly Communication Librarianship and Open Culture (ACRL, forthcoming 2021). The review period will end on October 25.

The Call for Proposals is open for the 2021 Summit of the Research Data Access and Preservation Association (RDAP). The theme for this year’s summit is “Radical Change and Data”. Please submit your proposals for presentations, lightning talks, or workshops by November 1.

Recent Publications:

Chodacki, John, Cynthia Hudson-Vitale, Natalie Meyers, Jennifer Muilenburg, Maria Praetzellis, Kacy Redd, Judy Ruttenberg, Katie Steen, Joel Cutcher-Gershenfeld, and Maria Gould. Implementing Effective Data Practices: Stakeholder Recommendations for Collaborative Research Support. Washington, DC: Association of Research Libraries, September 2020. https://doi.org/10.29242/report.effectivedatapractices2020.

Kim Gallon, A Review of COVID-19 Intersectional Data Decision-Making: A Call for Black Feminist Data Analytics, Part I.  Kim Gallon is the director and co-founder of COVID Black.

Max Kuhn and Julia Silge, Tidy Modeling with R, (October 2020), a free guide from the creators of the tidymodels framework – “a collection of R packages for modeling and machine learning using tidyverse principles.”

Danny Lämmerhirt, Ana Brandusescu, Natalia Domagala & Patrick Enaholo, eds. Situating Open Data: Global Trends in Local Contexts (Sept 2020) from African Minds an open access, not-for-profit, publisher of scholarly books.

Yongming Wang, ed., Special Issue (Vol. 5 No.1, 2020) of the International Journal of Librarianship on Artificial Intelligence, Machine Learning, Data Science, and Libraries.    

Other Resources:

RJ Andrews, guest curator, in collaboration with the David Rumsey Map Center at Stanford University, Data Visualization and the Modern Imagination, (digital exhibit focusing on historical innovations in data visualization.) 

National Institutes of Health, National COVID Cohort Collaborative (N3C) Data Enclave (secure data portal hosted by the National Center for Advancing Translational Sciences (NCATS) which “aims to improve the efficiency and accessibility of analyses with COVID-19 clinical data, expand our ability to analyze and understand COVID, and demonstrate a novel approach for collaborative pandemic data sharing.”)

National Institutes of Health, NCBI Datasets (a collection of experimental tools aiming to provide access to genome sequence and annotation data from the National Center for Bioinformation Technology).