April 2024 – Page 6 – DigitalKoans

"Common Metadata Framework for Research Data Repository: Necessity to Support Open Science"

The present study describes the features of a select number of RDRs and analyzes their metadata practices: Harvard Dataverse, Dryad, Figshare, Zenodo, and the Open Science Framework (OSF). It further examines the total number of metadata elements, common metadata elements, required metadata elements, and item-level metadata. Results indicate that even though Harvard Dataverse has the most metadata elements, Dryad provides rich metadata concerning item level. This study suggests a common metadata framework, richer metadata elements, and more features to make the research data’s interoperability possible from one RDR to another.

https://doi.org/10.1080/19386389.2024.2329370

Paywall: "Developing a Foundation for the Informational Needs of Generative AI Users through the Means of Established Interdisciplinary Relationships"

University faculty immediately had many questions and concerns in response to the public proliferation of generative artificial intelligence programs leveraging large language models to generate complex text responses to simple prompts. Librarians at the University of South Florida (USF) pooled their skills, existing relationships with faculty and professional staff across campus to provide information that answered common questions raised by those faculty on generative artificial intelligence usage within research related topics. Faculty concern regarding the worry of plagiarism, how to instruct students to use the new tools and how to discern the reliability of information generated by artificial intelligence tools were placed at the forefront.

https://doi.org/10.1016/j.acalib.2024.102876

Digital Content and Experiences Librarian at Cedar Crest College

This pivotal role is designed for an individual who is knowledgeable about electronic resources and committed to leveraging digital technologies to enrich the library experience for our users. The successful candidate will enjoy developing collections and increasing accessibility, integration, and usability across digital interfaces to ensure a seamless digital experience for the end-user.

https://apply.interfolio.com/143774

"Generative AI for Trustworthy, Open, and Equitable Scholarship"

We focus on the potential of GenAI to address known problems for the alignment of science practice and its underlying core values. As institutions culturally charged with the curation and preservation of the world’s knowledge and cultural heritage, libraries are deeply invested in promoting a durable, trustworthy, and sustainable scholarly knowledge commons. With public trust in academia and in research waning [reference] and in the face of recent high-profile instances of research misconduct [reference], the scholarly community must act swiftly to develop policies, frameworks, and tools for leveraging the power of GenAI in ways that enhance, rather than erode, the trustworthiness of scientific communications, the breadth of scientific impact, and the public’s trust in science, academia, and research.

https://doi.org/10.21428/e4baedd9.567bfd15

Digitisation Coordinator at University of London

The successful candidate will take on an exciting role in the fast-developing area of digitisation and preservation. SHL is committed to making more of its collections digitally accessible and is investing in systems for the management and preservation of its digital assets. The Digitisation Coordinator will manage our small Digitisation Suite, where we carry out in-house digitisation work, and will line manage the Digitisation Officer. They will also coordinate work related to our publisher, internal and grant-funded digitisation projects. Additionally, working with the Metadata & Discovery Manager and other SHL colleagues, they will contribute to the implementation of new workflows and procedures which maximise the online visibility of our unique special collections.

https://tinyurl.com/nhddakx3

"Evolving AI Strategies in Libraries: Insights from Two Polls of ARL Member Representatives over Nine Months—Report Published"

To effectively chart this [AI] transition, two quick polls were conducted among members of the Association of Research Libraries (ARL) to capture changing perspectives on the potential impact of AI, assess the extent of AI exploration and implementation within libraries, and identify AI applications relevant to the current library environment.

Today, ARL has released the results of the two polls—analyzing and juxtaposing the outcomes of these two surveys to better understand how library leaders are managing the complexities of integrating AI into their operations and services. The report also includes recommendations for ARL research libraries.

https://tinyurl.com/2t9nywcv

Report