Applying Librarian Created Evaluation Tools to Determine Quality and Credibility of Open Access Library Science Journals

Abstract:  This article explores the application of journal quality and credibility evaluation tools to library science publications. The researchers investigate quality and credibility attributes of forty eight peer-reviewed library science journals with open access components using two evaluative tools developed and published by librarians. The results identify common positive and negative attributes of library science journals, compare the results of the two evaluation tools, and discuss their ease of use and limitations. Overall, the results show that while library science journals do not fall prey to the same concerning characteristics that librarians use to caution other researchers, there are several areas in which publishers can improve the quality and credibility of their journals.

 

Governments turn to Open Source for sovereignty | OpenSource.net

The German government has launched a new Open Source software project called openDesk, which aims to reduce the country’s dependency on proprietary software vendors and support transparency and interoperability.

openDesk is a collection of Open Source software modules that are important for day-to-day work in the public sector, such as text creation, file collaboration, project management, email, calendar and messaging.

[…]

 

LORDIMAS: A digital maturity assessment tool for regions and cities | data.europa.eu

“To strengthen local and regional authorities with advanced digital capabilities, the Local and Regional Digital Indicators framework (LORDI) introduces LORDIMAS. This transformative digital maturity assessment tool, a product of collaboration with Living-in.EU, was officially unveiled with comprehensive demos during online events in October and the Smart City Expo in Barcelona from November 7-9. LORDIMAS empowers local and regional governments across Europe to assess their digital progress, foster open data sharing and promote more efficient governance….”

GetFTR now works with Google Scholar, PubMed, Web of Science and more | GetFTR

“GetFTR, the service which helps streamline the researcher’s journey from discovery to access, has announced the launch of the GetFTR Browser Extension. 

The free GetFTR browser extension extends the core service and makes it easier for researchers to identify and access the content they are entitled to read when using major discovery resources such as Google Scholar, Google Search, Web of Science, PubMed, Primo, EBSCO Discovery Service, Lens, Summon and more. It is available to download from Chrome, Firefox and Edge….”

Can AI help with the heavy lifting of research communications? | Impact of Social Sciences

“From my own experience, a key skill involved in research communication is translation. Primarily, the translation of complex academic writing into ‘simpler’ media and formats accessible to different audiences, eg. lay summaries, press releases and blog posts, or for the public affairs oriented, policy briefings….”

Flex Course: Open Publishing Ecosystems | Reclaim Hosting Event Calendar

We’re excited to announce our next flex course, Open Publishing Ecosystems! We’ve had this one on our minds for a while now and are excited to be able to bring it to you. The course will run from November 28th through December 19th 2023, with weekly sessions digging into various open publishing tools – what they are, how they work, and what they can best help you accomplish. We’ll be looking at HedgeDoc, Manifold, Docsify-This, and HAX, highlighting where each of these tools shine. This flex course will be in the classic Reclaim style, with weekly video premieres where you can all take part in the live chat, and all resources for the week available after each premiere for anyone wanting to follow along asynchronously. It’s free for all to attend and will be hosted through our community Discord server.

 

Zenodo launched on next generation platform – InvenioRDM

“CERN, OpenAIRE, and the InvenioRDM open source community are excited to announce that Zenodo has moved onto our next generation underlying technical platform, InvenioRDM!

Over the past year, we’ve been working intensely on preparing to move Zenodo on top of a refreshed underlying technical platform, InvenioRDM. Zenodo’s simple user experience and high scalability stay the same, but the underlying engine has been substantially upgraded. In addition InvenioRDM comes with a suite of new features and improvements that have been high on many of our users’ wishlist.

What’s new?

We’ve significantly expanded Zenodo’s collaborative features in many different areas:

Communities: Our community feature has been upgraded with support for multiple curators, members, reviews, curation, and branding, so e.g. multiple curators can now edit records in their community.
Sharing: You can now share records for confidential peer review, enable access requests, or simply create a preview link for your colleagues.
Deposit: Our upload form has received many usability improvements, e.g. being able to select the file which should be previewed by default. In addition we’ve strengthened it through connections to the open science PID infrsatructure, e.g. you can now auto-complete creators from ORCiD and affiliations from ROR, and link to custom funders/awards.
Extras: We’ve also made significant improvements to web accessibility, enabled institutional login via the OpenAIRE AAI, improved usability, and added a download all button for files among other things….”

Zenodo Update: Collaboration Made Easy

“Since its launch in 2013, the catch-all repository has helped millions of researchers by providing the space and technology to easily share their research outputs. This space has been vital to those who do not have access to the infrastructures or tools necessary to share their research work, due to any number of reasons, financial barriers, scarce access to institutional or thematic repositories, limited findability, etc. 

Not only has Zenodo been instrumental in breaking down these barriers, but it has many more practical implications. Thanks to its user-friendliness, it allows for immediate creation of DOI for publications datasets, software, and other research outputs. 

Having one catch-all repository also increases access to knowledge and is greatly advantageous for uncovering links between outputs. The exclusive use of unallied private repositories, hinders discovery, collaboration, and impact as those in the research community don’t have access to each and every one of these sources (and if they did, it would be extremely inefficient to go through and search each one). 

The dire need for a service like Zenodo is evidently apparent when we look at the figures, visits more than doubled between 2021 and 2022 increasing from 12 million to 25 million. Today, Zenodo is expanding upon this community and thereby reasserting this human network as a fundamental pillar of OpenAIRE and its services.

New Mission: From “sharing research made easy” to “collaboration made easy”
For the past 10 years, Zenodo has had one simple goal, to make sharing research easy. Having witnessed millions benefit from the service, we can confidently say this goal was achieved. So as Zenodo enters adulthood, it’s time to redefine its objective to improve upon the service, while of course maintaining its ease of use.

Zenodo’s next mission is making collaboration easy, and in doing so, improve the quality of content being published….”

Using Manifold at Temple University Press and Libraries | North Philly Notes

“Founded in 1969, Temple University Press publishes books in the humanities and social sciences and is the premier publisher of books on Philadelphia and the surrounding region. The Press began reporting administratively to Temple’s libraries in 2010. With the 2018 launch of the libraries’ Center for Scholarly Communication and Open Publishing, the libraries and Press began to partner on new approaches to sharing scholarly output and developing services in support of our mission to advance learning and scholarship. One such service, launched in 2019, is North Broad Press (NBP), a joint Libraries/Press open access imprint that provides Temple faculty with an opportunity to author their own open textbook.

NBP primarily publishes high-quality open educational resources by members of the Temple community, with limited additional capacity to support scholarly monographs, edited volumes, and digital scholarly projects. Everything we publish is open access and goes through a traditional book production process, including peer review by two independent experts in the field. Copyediting, typesetting, and design are provided at no cost, and we allocate stipends to some Temple authors to support writing an original open textbook. To date, we have published five textbooks and have sixteen in varying stages of progress. All NBP titles are published our Manifold platform.

Temple began using Manifold when the NBP imprint was announced and at a time when the Press was strategizing on sustainable open access models for traditional titles. After evaluating the options for hosting and publishing open access books, including the ease of integration with our established procedures, support for digital enhancements, and cost, we applied for and were chosen as one of ten publishers to participate in a 2019 pilot program on using Manifold.  

We kicked off our Manifold collections in 2020 with four Press titles previously published as part of the American Literatures Initiative (ALI). Funded by a grant from the Andrew W. Mellon Foundation, ALI supported the publication of important scholarship in literary studies, which had become an underfunded and under-resourced discipline from which fewer titles were able to be published. Open access availability of these titles matched the spirit of the grant by expanding their reach and supporting their use in ways beyond the traditional print and electronic editions….”

Semantic Reader Open Research Platform

“Semantic Reader Project is a collaborative effort of NLP + HCI researchers from non-profit, industry, and academic institutions to create interactive, intelligent reading interfaces for scholarly papers. Our research led to the creation of Semantic Reader, an application used by tens of thousands of scholars each week.

The Semantic Reader Open Research Platform provides resources that enable the broader research community to explore exciting challenges around novel research support tools: PaperMage, a library for processing and analyzing scholarly PDFs, and PaperCraft, a React UI component for building augmented and interactive reading interfaces. Join us in designing the future of scholarly reading interfaces with our open source libraries!…”

Meta’s AI research head wants open source licensing to change – The Verge

“In July, Meta released its large language model Llama 2 relatively openly and for free, a stark contrast to its biggest competitors. But in the world of open-source software, some still see the company’s openness with an asterisk….”

Mattermost vs Slack for small/medium teams: why open source matters | Cloud68.co

Efficient communication and collaboration tools are vital for teams aiming to navigate the complexities of the work environment small and medium teams have to navigate these days. Slack, a major player in this field, has provided a platform for instant messaging, file sharing, and more, capturing the attention of businesses and organisations worldwide. However, a closer look reveals certain aspects of its business model that may not align with the best interests of all users, especially those in small and medium-sized teams. Let’s review these aspects and big tech business ethics and introduce an open-source Slack alternative that promises greater freedom and control.

Office of Information Policy | New Search Tool Improves FOIA.gov User Experience

“FOIA.gov, the government’s central resource for information about the Freedom of Information Act (FOIA), was updated today with a new Search Tool that helps the public more quickly locate commonly requested information.  This update reflects one of the most significant improvements to the site since the release of the National FOIA Portal in 2018 and fulfills one of the Department of Justice’s commitments made in the United States Fifth Open Government National Action Plan.

The Search Tool is designed to simplify the process of making FOIA requests and finding federal government documents. It can help a user connect with the right agency to make a request or find publicly available information quickly and easily.  With over 100 agencies subject to FOIA and hundreds of FOIA offices, it can often be difficult for the public to find information efficiently.  We developed the search tool after in-depth research and information gathering from agencies and public users to help identify the best solution.  Through these efforts, we identified six topical areas that comprise the largest portion of FOIA requests.  These “common topics” launch users into logic-based pathways that ask a series of questions to help get the user to the right place.  Alternatively, users can enter their own search terms.  The tool relies on a combination of logic and machine learning to provide a user with publicly available documents and/or a suggestion of where to request information.  Click here to learn more about how the Search Tool works….”

[2305.13820] An Open Dataset and Model for Language Identification

Abstract:  Language identification (LID) is a fundamental step in many natural language processing pipelines. However, current LID systems are far from perfect, particularly on lower-resource languages. We present a LID model which achieves a macro-average F1 score of 0.93 and a false positive rate of 0.033 across 201 languages, outperforming previous work. We achieve this by training on a curated dataset of monolingual data, the reliability of which we ensure by auditing a sample from each source and each language manually. We make both the model and the dataset available to the research community. Finally, we carry out detailed analysis into our model’s performance, both in comparison to existing open models and by language class.

 

Improving Wikipedia verifiability with AI | Nature Machine Intelligence

Abstract:  Verifiability is a core content policy of Wikipedia: claims need to be backed by citations. Maintaining and improving the quality of Wikipedia references is an important challenge and there is a pressing need for better tools to assist humans in this effort. We show that the process of improving references can be tackled with the help of artificial intelligence (AI) powered by an information retrieval system and a language model. This neural-network-based system, which we call SIDE, can identify Wikipedia citations that are unlikely to support their claims, and subsequently recommend better ones from the web. We train this model on existing Wikipedia references, therefore learning from the contributions and combined wisdom of thousands of Wikipedia editors. Using crowdsourcing, we observe that for the top 10% most likely citations to be tagged as unverifiable by our system, humans prefer our system’s suggested alternatives compared with the originally cited reference 70% of the time. To validate the applicability of our system, we built a demo to engage with the English-speaking Wikipedia community and find that SIDE’s first citation recommendation is preferred twice as often as the existing Wikipedia citation for the same top 10% most likely unverifiable claims according to SIDE. Our results indicate that an AI-based system could be used, in tandem with humans, to improve the verifiability of Wikipedia.