The latest issue of the Journal of eScience Librarianship (JeSLIB) has been published! This issue’s focus is on building strong relationships with colleagues, collaborators, and researchers for research data management and data curation services. As change comes fast, we must also assess current services and practices so that new paths and initiatives can be developed.

In this new issue we highlight two exciting changes to the journal! 🎉

First, the JeSLIB Editorial Team is excited to welcome Allie Tatarian as Data Editor. Allie is a Research & Instruction and Data Librarian from Hirsh Health Sciences Library, Tufts University. As Data Editor, Allie will ensure that datasets accompanying manuscripts meet the submission guidelines and standards of good data management practice. Please join us in welcoming Allie to the team! 👏🏼👏🏽👏🏾

Second, along with Allie’s new role is a new article type. The new Data in Action article is used when an author wants to publish a description of library and information science research datasets with the aim of increasing visibility and transparency, supporting their reuse, and promoting reproducible research. Please join us in congratulating our first Data in Action authors, Curtis Brundy and Joel B. Thornton, on their publication! 👏🏼👏🏽👏🏾

You can read more about Allie Tatarian and the Data in Action article in Regina’s editorial. We hope you will take time to explore this exciting issue, and we welcome your thoughts and comments on these changes as we continue to evolve to best serve the data librarian community.

Volume 13, Issue 2 (2024)

Editorial

Good Omens: New Services, Accurate Research Data

Regina Fisher Raboin

Full-Length Paper

Data services at the academic library: a natural history of horses and unicorns

Jeffrey Oliver, Fernando Rios, Kiriann Carini, and Chun Ly

The use of data management planning among researchers in higher learning institutions: The case of the Nelson Mandela African Institution of Science and Technology in Tanzania

Neema Mosha and Patrick Ngulube

Toward Enhanced Reusability: A Comparative Analysis of Metadata for Machine Learning Objects and Their Characteristics in Generalist and Specialist Repositories

Stephanie Labou, Abigail Pennington, Ho Jung S. Yoo, and Michael Baluja

Identifying metadata commonalities across restricted health data sources: A mixed methods study exploring how to improve the discovery of and access to restricted datasets

Kevin B. Read, Grant Gibson, Amber Leahey, Lynn Peterson, Sarah Rutley, Julie Shi, Victoria Smith, and Kelly Stathis

Data in Action

Academic Library Pricing Dataset for SciFinder Scholar, Web of Science, and Scopus: 2018-2024

Curtis Brundy and Joel B. Thornton

Curatorial Connections Column

Navigating the Currents: Reflections from the Community Data Toolkits Workshop

Mikala Narlock

Commentary

Back to Basics: Considering Categories of Data Services Consults

Isaac Wink