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Sunday, March 8 • 1:00pm - 5:00pm
W03: Using the Crossref API: Pulling and working with Crossref publication and funder metadata in R

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Access the workshop materials at https://osf.io/tz246/. Clone the Azure Notebook at https://notebooks.azure.com/clarke-iakovakis/projects/rcrossref2.

This workshop will begin with an overview of Crossref and the Crossref API. Crossref is a not-for-profit membership organization for scholarly publishing working to make content easy to find, cite, link, assess, and re-use. The Crossref REST API is a unique resource of free, in-depth publisher metadata that is used by the entire lifecycle of global scholarly communications, from funders to publishers to metadata aficionados of all kinds. The API lets anyone search, filter, facet and sample Crossref metadata related to over 106 million content items with unique Digital Object Identifiers (DOIs). Crossref metadata includes a wealth of metadata that can help libraries with literature reviews, collect citation metadata, populate bibliographies with identifiers, track funding information, and more.
Following this overview, participants will use the rcrossref package in R (developed by rOpenScie) to query and extract data from the Crossref API. R is a programming language used to work with data (and metadata). Participants will work through scripts hosted on an interactive cloud-based R coding platform (Microsoft Azure Notebooks). Experience in R is helpful but not required.

This workshop will be of particular value to those working in scholarly communications and collection analysis. Participants will learn how to pull publication metadata by ISSN and article metadata by citation details such as title, author, and DOI, to get back citation counts, open access status, author ORCID iDs, and funder details. From here they can determine if publications are eligible for deposit in a repository, write RIS/BibTeX files, and conduct bibliometric analyses.

avatar for Shannon Burke

Shannon Burke

Coordinator of Acquisitions, Texas A&M University Libraries
I have experience in the areas of electronic resources, discovery, collection development, and acquisitions. I have a particular interest in interactive data visualization, using tools such as Tableau and the R programming language, to aid in evaluation and decision-making.
avatar for Patricia Feeney

Patricia Feeney

Head of Metadata, Crossref
avatar for Clarke Iakovakis

Clarke Iakovakis

Scholarly Services Librarian, Oklahoma State University

rcrossref ipynb

Sunday March 8, 2020 1:00pm - 5:00pm CDT
Room 106
  8. Data Science & Libraries