40 Works


DeAndre Tomlinson, shane davitt, Emmet Flynn, Paul Brunts, David Molik & Matthew Sisk
Scripts and Code for Automated Text Categorization Cryptococcus neoformans project

Using the Distant Reader to Text Mine the US Academic Library Response to COVID19

Natalie Meyers, David Molik & Eric Morgan
Using the Distant Reader to text mine the US Academic Library Response to COVID19 Question 17

Distant Reading for Quick Insights

Natalie Meyers, Eric Morgan & David Molik
April 22, 2020 Presentation at the US GOFAIR 3-part webinar: "Fighting COVID-19 by Mining Insights from Heterogeneous Datasets"

Supporting Open Science Data Curation, Preservation, and Access by Libraries

Eric Olson, Nicole Pfeiffer, Claire Riss, Jefferson Bailey & Lori Donovan
In this webinar, attendees will learn about both the technical and practical aspects of this collaborative project connecting the researcher tool OSF and the preservation system of Internet Archive. We will demonstrate how researchers can improve the openness and reproducibility of their research through preregistration, and how those preregistrations are preserved with Internet Archive. We will answer questions and seek to learn your needs and use cases for how this powerful workflow can support library...

Getting Started on OSF

Eric Olson, Nicole Pfeiffer, Mark Call & Daniel Steger
So you've made an OSF account — awesome! Now you’re ready to get started, but what should you do first? This project has resources, templates, and demonstrated practices to help you begin your OSF journey. Still have questions? Contact support@osf.io to discuss more OSF features.

BIP Week ORCID and OSF Intro

Natalie Meyers
Intro to ORCID and OSF for BIP Week

Partnerships in Open Science Infrastructure

Eric Olson
Open science tools are by necessity community oriented; recognizing community needs, iterating to respond to changing priorities, and mobilizing communities of practice are a perpetual process featuring constant communication. This talk will share multiple ways that the Center for Open Science seeks and cultivates partnerships across the research landscape, and looks to the future of increasing overlap between our community friends and technical infrastructure.

FAIR Events Primer

Natalie Meyers
Feb 25, 2020 GO FAIR Professional Development Workshop: Advancing FAIR and GO FAIR in the U.S. Atlanta, GA

The STM Association and Center for Open Science Research Data Workshop

Fiona Murphy, David Mellor & Joris van Rossum
Virtual Workshop on Research Data Report. Event took place on April 27, 2020


Courtney Soderberg, Timothy Errington & Brian Nosek

Supplemental Files

Courtney Soderberg, Timothy Errington & Brian Nosek

MDAR: Towards minimum reporting standards for life scientists

David Mellor, Karen Chambers, Andy Collings, Chris Graf, Veronique Kiermer, Malcolm Macleod, Sowmya Swaminathan, Deborah Sweet & valda vinson
This project contains the MDAR framework (Materials Design Analysis Reporting), a checklist for authors to use, and an elaboration document with background and instructions. The project components contain data from author and editor surveys and coder data from the evaluated checklists.

Automated Text Categorization and Metabarcoding of Cryptococcus neoformans

David Molik, DeAndre Tomlinson, shane davitt, Eric Morgan, Benjamin Roche, Natalie Meyers, Michael Pfrender & Matthew Sisk
Determining the Ecology of a Opportunistic Pathogen using Data Mining and Natural Language Processing

Using DMPTool, ORCID, SciENcv, and OSF to Write Better Proposals and Set Up Research Projects

Natalie Meyers
A NFCDS Spring 2020 Workshop presentation

Supporting Open Science Data Curation, Preservation, and Access by Libraries

Eric Olson, Nicole Pfeiffer, Bryan Newbold, Reid Boehm, Emily Bongiovanni, Courtney Butler, Brian Cain, Matthew Chandler, Anna Dabrowski, Jennifer Fitzgerald, Carolyn Jackson, Agnes Jasinska, Courtney Kearney, Neggin Keshavarzian, Russell Koonts, Ali Krzton, Young-Joo Lee, Lora Lennertz, Mary Leverance, Laniece Miller, Rohit Patil, Jennifer Patino, Abigail Pennington, Sara Sacks, Mara Sedlins … & Amy Yarnell
Openness in research can lead to greater reproducibility, an accelerated pace of discovery, and decreased redundancy of effort. In addition, open research ensures equitable access to knowledge and the ability for any community to assess, interrogate, and build upon prior work. In order for research to succeed, openness and reproducibility are required. In turn, this requires open infrastructure and distributed access; but few institutions can provide all of these services alone. Providing a trustworthy network...

Experiment 1

Joshua Koen

Distant Reader CORD19

Eric Morgan, David Molik & Natalie Meyers
Distant Reader tests against the CORD19 dataset

Alix F. Leon's Research

Alix Leon, Jennifer Laird & Zachary Parolin
The Poor State, Rich State web app is an open source app built with the R Programming Language using a framework called Shiny. It displays a collection of graphs and maps to inform the user of the poverty levels across states.

Test Registration

Nicole Pfeiffer
New abstract for this registration, did it update?

Academic job offers that mentioned open science

Bianca Weber, Christina Bergmann, Leonhard Falk Florentin Schramm, Martin Wiehr, Amanda Montoya, Felix Schönbrodt, Gracia Prüm, David Thomas Mellor, Antonio Schettino, Greg Tananbaum & Franka Tabitha Etzel
This project archives job offers (mostly professorship positions) which require or suggest an open science statement from the applicants.

test 3

Eric Olson & Kevin Schroeder

Credibility of Preprints Survey

Courtney Soderberg, Timothy Errington & Brian Nosek
This survey was funded by the Alfred P. Sloan Foundation as part of a larger grant to investigate signals of trust in preprints

Introducion to Open Sciencia Framework

Natalie Meyers
Presentacion Summit Internacional UC 2020


Courtney Soderberg, Timothy Errington & Brian Nosek

Text Mining for Distant Reading Insights into COVID-19

Natalie Meyers
A Presentation at EXTRACTION: TRACING THE VEINS CODATA Center of Excellence in Data for Society MiniForum on Data Extraction

Registration Year

  • 2020

Resource Types

  • Text


  • Center For Open Science
  • University of Notre Dame
  • George Mason University
  • University of Virginia
  • Virginia Tech
  • Duke University
  • Universiteit Gent
  • Princeton University
  • James Madison University
  • Purdue University