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Beginner [clear filter]
Tuesday, July 27

8:00am PDT

T15- How to introduce and implement policy in your institution and still have friends afterwards

FSCI courses are now closed. Course attendees must go to the course OSF page do see course materials and Zoom links.


As momentum increases toward an open future, questions arise around the implications for research institutions. There are multiple challenges around policy, advocacy, and technology surrounding open research practice. Much of the work in the scholarly communication space involves advocacy – working with many levels of the institutional hierarchy. This course discusses the practical aspects of developing policy and navigating it through an institution – a lengthy and complex process. Participants will consider who the stakeholders are within their institution and collectively will look at the perspectives they might bring to the discussion. There will be some practical work on addressing various objections to provide advocacy and negotiation skills.

The course will be a mixture of synchronous and asynchronous learning. In total the course will take five hours for each of the two weeks of FSCI (10 hours in total). This will include an expected contribution to an introductory process prior to the starting date. You will also need to prepare for scheduled group work by watching a pre-recorded short lecture. Sessions will happen twice a day to allow for different time zones, and group work will occur with people in a time zone close to you. The final day in week two will be a meeting of the whole group – we will work together to decide the best (or least worst!) time zone for everyone.

Tuesday, July. 27
8-9AM: First session
5-6PM: REPEAT First session
Thursday, July. 29
8-9AM: Second session
5-6PM: REPEAT Second session
Tuesday, Aug. 3
8-9AM: Third session
5-6PM: REPEAT Third session
We will have one additional session on Thursday August 5 which we will schedule when we contact the participants

avatar for Danny Kingsley

Danny Kingsley

Associate Librarian, Flinders University Library
Danny is a consultant and expert in developing strategy and policy in the higher education and research sector with extensive international experience, most recently in Europe and the UK. She has a particular focus on Open Research and research communication. Her work involves aspects... Read More →
avatar for Sarah Shreeves

Sarah Shreeves

Vice Dean, University of Arizona Libraries, University of Arizona
I am the Vice Dean of the Libraries at the University of Arizona - I essentially act as the Chief Operating Officer. Our IT department, Special Collections, Access and Information Services, and Research Engagement (where scholarly communications, data science, data management, and... Read More →

Tuesday July 27, 2021 8:00am - 9:00am PDT
T15 Classroom
Wednesday, July 28

8:00am PDT

W21- FAIR Data in the Scholarly Communications Lifecycle

FSCI courses are now closed. Course attendees must go to the course OSF page do see course materials and Zoom links.


This course will focus on FAIR research data management and stewardship practices. It will provide an understanding of FAIR (findable, accessible, interoperable, and reusable) data and how it fits into scholarly communication workflows. Participants will learn about the FAIR Data Principles and how they can be applied in practice.

Good data stewardship is the cornerstone of knowledge, discovery, and innovation in research. The FAIR Data Principles address data creators, stewards, software engineers, publishers, and others to promote maximum use of research data. In research libraries, the principles can be used as a framework for fostering and extending research data services.

This course will provide an overview of the FAIR Data Principles and the drivers behind their development by a broad community of international stakeholders. We will explore a range of topics related to putting FAIR data into practice, including how and where data can be described, stored, and made discoverable (e.g., data repositories, metadata); methods for identifying and citing data; interoperability of (meta)data; best-practice examples; and tips for enabling data reuse (e.g., data licensing). Along the way, we will get hands-on with data and tools through self-paced exercises. There will be opportunities for participants to learn from each other and to develop skills in data management and expertise in making data FAIR.

(All times Pacific)
Note: There are no "repeat" session for this course.  If you cannot attend the sessions live, you may watch the recording of each session, which will be made available within a few hours after each session ends.
Wednesday, July. 28
8-9AM: Session 1
Monday, Aug. 2
8-9AM: Session 2
Wednesday, Aug. 4
8-9AM: Session 3

avatar for Natasha Simons

Natasha Simons

Associate Director, Data & Services, Australian Research Data Commons
Natasha Simons has her head in the clouds - literally, technically and figuratively. She loves research data and making good stuff happen. As Associate Director, Data & Services, at the Australian Research Data Commons she is responsible for programs that support the development of... Read More →
avatar for Daniel Bangert

Daniel Bangert

National Open Research Coordinator, Digital Repository of Ireland, Royal Irish Academy
Dr Daniel Bangert is Ireland’s National Open Research Coordinator, based at the Digital Repository of Ireland, Royal Irish Academy. In this role he works with Ireland's National Open Research Forum (NORF) on the development and delivery of a National Action Plan for the implementation of open research across Ireland... Read More →
avatar for Chris Erdmann

Chris Erdmann

Assistant Director, Data Stewardship, American Geophysical Union (AGU)
avatar for Fiona Murphy

Fiona Murphy

Co-Founder, Partnerships & Community Development, MoreBrains Cooperative Consulting
Fiona Murphy is on a mission to improve knowledge - what we know we know, who gets to know it, and what we do with it. She loves connecting things to other things (people, ideas, projects), so is a natural proponent of all things PID-tastic. One of the four Co-founders of MoreBrains... Read More →

Wednesday July 28, 2021 8:00am - 9:00am PDT
W21 Classroom

9:00am PDT

W25- Working with Scholarly Literature in R: Pulling, Wrangling, Cleaning, and Analyzing Structured Bibliographic Metadata

FSCI courses are now closed. Course attendees must go to the course OSF page do see course materials and Zoom links.


Developers have created a number of packages for accessing the scholarly literature in R over the last several years, among them rcrossref, rorcid, and roadoi. These packages make use of the APIs in their systems to allow users to execute specific queries and pull the structured data into R, where it can be reshaped, merged with other data, and analyzed. This session will be based on the workshop I provided at last year's FSCI. The course will assume no experience with R; however, a thorough explanation of the R programming language will not be provided.

The course will a mixture of pre-recorded videos and synchronous meeting for discussion and Q&A sessions.

Students will access IPNYB (Jupyter Notebooks) files containing the scripts for the workshop, created with Binder (https://mybinder.org/). The files will include executable code alongside descriptions of what the code is doing. Students can therefore run code that has already been written, but will also write and execute their own R scripts within the Jupyter Notebooks environment. Students will access these notebooks while watching the videos explaining the code.

We will begin with a general orientation of the Jupyter Notebooks environment. We will then discuss R and provide a basic overview of how it works. This introduction will include reading data into R, installing packages, and some functions for cleaning and restructuring data. We will then discuss Crossref, ORCID, and Unpaywall, and the packages developed by the rOpenSci (https://ropensci.org/) organization to access the API services of these organizations, and walk through rcrossref, roadoi, and rorcid.

rcrossref interfaces with the CrossRef API, allowing users to pull article metadata based on ISSN, filter queries by publication date and license information, running queries by title and author, getting funder data, getting citation counts, and exporting to BibTeX, RIS, and CSV. This can be immensely powerful for collecting citation data, conducting literature reviews, creating bibliographies, and more.

roadoi interfaces with Unpaywall, allowing users to input a set of DOIs and return publication information along with potential locations of open access versions.

rorcid interfaces with the ORCID API, allowing users to pull publication data based on a specific ORCID iD, or to input names and other identifying information to find a specific individual’s identifier.

As we work through the tutorials, students will continue to learn R functions for working with data, including dplyr, purrr, and tidyr.

By the conclusion of the session, students will be able to work with and analyze data in R. On a deeper level, they will have more powerful tools for gathering subsets of the scholarly literature in clean and structured formats based on specific parameters. Because they will be walking away with executable scripts, they will be able to modify those and collect data based on parameters they are interested in.

(All times Pacific)
Wednesday, July. 28
9-10AM: Session 1
5PM: REPEAT Session 1
Monday, Aug. 2
9-10AM: Session 2
5PM: REPEAT Session 2
Wednesday, Aug. 4
9-10AM: Session 3
5PM: REPEAT: Session 3

avatar for Clarke Iakovakis

Clarke Iakovakis

Scholarly Services Librarian, Oklahoma State University

Kay Bjornen

Research Data Initiatives Librarian, Oklahoma State University
I assist researchers at Oklahoma State University with data management and other research data issues.  I also teach a variety of coding, software and data literacy topics, often through the OSU Carpentries.

Megan Macken

Digital Scholarship Librarian, Oklahoma State University

Wednesday July 28, 2021 9:00am - 10:00am PDT
W25 Classroom
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