Taking a Big Bite Out of the Big Deal – The Scholarly Kitchen

“Unsub is the game-changing data analysis service that is helping librarians forecast, explore, and optimize their alternatives to the Big Deal. Unsub (known as Unpaywall Journals until just this week) supports librarians in making independent assessments of the value of their journal subscriptions relative to price paid rather than relying upon publisher-provided data alone. Librarians breaking away from the Big Deal often credit Unsub as a critical component of their strategy. I am grateful to Heather Piwowar and Jason Priem, co-founders of Our Research, a small nonprofit organization with an innocuous sounding name that is the provider of Unsub, for taking time to answer some questions for the benefit of the readers of The Scholarly Kitchen. …”

scite awarded $1.5 million Fast Track SBIR Grant from the National Institutes of Health to expand the use of Smart Citations

“scite, a platform for the discovery and evaluation of scientific articles, today announced it has been awarded $1.5 million from Phase II of its Fast-Track Small Business Innovation Research (SBIR) grant by the National Institute on Drug Abuse (NIDA) of the National Institutes of Health (NIH)….”

Third-party software development provider selected for the OA Switchboard – OASPA

“Following an RFI (Request for Information) for the OA Switchboard issued on 18 March 2020, OASPA is pleased to announce that it has chosen to partner with ELITEX to build an MVP (minimum viable product) and help run a Pilot this year….

The OA Switchboard initiative (www.oaswitchboard.org) is a not-for-profit collaboration between funders, institutions and publishers to provide essential infrastructure to facilitate the fulfilment of open access strategies across business models, policies and agreements. Throughout 2020, a project (overseen by OASPA, funded through a sponsorship model) is being run to prepare for the OA Switchboard to go live as an operational solution. When the OA Switchboard moves to an operational stage, following a successful 2020 project, a sustainable governance structure and funding model will be in place.”

Applying FAIRness: Redesigning a Biomedical Informatics Research Data Management Pipeline

Abstract:  Background?Managing research data in biomedical informatics research requires solid data governance rules to guarantee sustainable operation, as it generally involves several professions and multiple sites. As every discipline involved in biomedical research applies its own set of tools and methods, research data as well as applied methods tend to branch out into numerous intermediate and output data objects, making it very difficult to reproduce research results.

Objectives?This article gives an overview of our implementation status applying the Findability, Accessibility, Interoperability and Reusability (FAIR) Guiding Principles for scientific data management and stewardship onto our research data management pipeline focusing on the software tools that are in use.

Methods?We analyzed our progress FAIRificating the whole data management pipeline, from processing non-FAIR data up to data usage. We looked at software tools for data integration, data storage, and data usage as well as how the FAIR Guiding Principles helped to choose appropriate tools for each task.

Results?We were able to advance the degree of FAIRness of our data integration as well as data storage solutions, but lack enabling more FAIR Guiding Principles regarding Data Usage. Existing evaluation methods regarding the FAIR Guiding Principles (FAIRmetrics) were not applicable to our analysis of software tools.

Conclusion?Using the FAIR Guiding Principles, we FAIRificated relevant parts of our research data management pipeline improving findability, accessibility, interoperability and reuse of datasets and research results. We aim to implement the FAIRmetrics to our data management infrastructure and—where required—to contribute to the FAIRmetrics for research data in the biomedical informatics domain as well as for software tools to achieve a higher degree of FAIRness of our research data management pipeline.

Workshop on Open-Source Tools for Chemistry

“All scientists working in chemistry need software tools for accessing, handling and storing chemical information, or performing molecular modelling and computational chemistry. There is now a wealth of open-source tools to help in these activities; however, many are not as well-known as commercial offerings. This workshop offers a unique opportunity for attendees to try out a range of open-source software packages for themselves with expert tuition in different aspects of chemistry. Attendees will be able to choose from sessions covering accessing online resources; data processing and visualisation; ligand and structure-based design, or computational chemistry. All software and training materials required for the workshop will be provided for attendees to install and run on their own laptops.”

Can You Imagine a Better Academic E-book Experience? Piloting SimplyE in Academic Libraries | Academic Commons

“SimplyE, an end-user library reading app for ebook and audiobooks developed by the New York Public Library, continues to gain momentum across public and academic libraries. New efforts are underway to better understand the needs of academic ebook readers and advance open-source software to meet the needs of institutions and students. SimplyE and the technologies it uses have evolved and proliferated. User expectations have evolved. With more media types, digital rights management (DRM), and content hosting capabilities it is now closer than ever to becoming an ebook solution for academic libraries. Learn about recent accomplishments, current efforts, and future plans to improve SimplyE and expand its use in academic and public libraries….”




Register for OpenDP Community Meeting – OpenDP – Medium

“As you may be aware, we have been laying the groundwork to launch OpenDP. It is a community effort to build a suite of trustworthy tools for privacy-protective analysis of sensitive personal data, focused on an open-source library of algorithms for generating statistical releases with the strong protections of differential privacy.

On May 13th — 15th from 11 AM — 3 PM EDT each day, we will hold an online workshop to share detailed plans for OpenDP and obtain community feedback on them. We will cover topics such as the programming framework, governance, system integrations, use cases, statistical functionality, and collaborations.

A detailed agenda and a registration form for the workshop, breakout sessions, and the OpenDP mailing list are available at OpenDP registration. Please register by May 4….”