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).

Monthly Data Resources: September 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 community.

Have an appropriate item to share in a future Data Resources post? Submit your suggestions via our Suggest a Topic form.

Upcoming Events:

Visualizing the Future Live Update, Tuesday, September 22, 1pm to 2pm Eastern time | 10am to 11am Pacific time | 5pm to 6pm UTC time, Registration Form

Visualizing the Future is an IMLS National Forum Grant to develop a literacy-based instructional and research agenda for library and information professionals with the aim to create a community of praxis focused on data visualization. Tune in to learn about grant activities and upcoming community-building opportunities.

Recent Publications:

Catherine D’Ignazio and Lauren Klein, Data Feminism (MIT Press, 2020), now open access: https://data-feminism.mitpress.mit.edu/

Linnet Taylor, Gargi Sharma, Aaron Martin, and Shazade Jameson, eds., Data Justice and COVID-19: Global Perspectives; info: https://shop.meatspacepress.com/product/data-justice-and-covid-19-global-perspectives ; open access PDF via the Internet Archive: https://ia801905.us.archive.org/23/items/data-justice-and-covid-19/Data_Justice_and_COVID-19.pdf

Kayla Abner, “Data Literacy as Digital Humanities Literacy: Exploration of Threshold Concepts,” dh+lib special issue, 22 June 2020.

Other Resources:

Shanda Hunt, “Data Visualization Services Toolkit for Libraries” (“…intended for librarians and libraries embarking on a new data visualization service, but could also be used to refresh skills, develop lesson plans for a data visualization course, or as a starter for anyone with an interest in the topic.”)

Mine Çetinkaya-Rundel, “Data Science in a Box” (an intro to data science for learners without background in stats or computing, with interactive tutorials using R)

Data Curation Network, “Data Curation Primers” (new additions include data curation primers for Twitter, GeoTIFF, ISO Images, and Neuroimaging DICOM and NIfTI)

National Institutes of Health, “All of Us Research Hub” (portal to biomedical data and metadata; currently in beta testing)