Evaluating new technologies and organizational structures

Welcome to the last issue of IASSIST Quarterly for 2024, IQ 48(4). We are excited to share news of several developments that we have been working on over the last few months: The IASSIST Qualitative Social Science and Humanities Data Interest Group (QSSHDIG) is planning an IASSIST Quarterly special issue dedicated to the complexities of sharing qualitative data. For this special issue, we invite submissions of abstract proposals focused on the ethical challenges, methodological concerns, and labor involved in making qualitative data and research materials publicly available. The full CfP and details on how to submit an abstract can be viewed on the IASSIST Quarterly website: https://iassistquarterly.com/index.php/iassist/announcement/view/7 . The deadline for proposing articles is January 31st (full articles won’t be needed until later). We are delighted to welcome Minglu Wang as a new IQ Editorial Board member (as of October 2024). Minglu is the Research Data Management Librarian in the Open Scholarship Department at York University Libraries, York, Ontario, Canada. Among other qualifications, she brings experience as a member of the Editorial Board for ACRL’s College & Research Libraries (C&RL) (2019–2025), and she led the project group for that Board to investigate a data policy for C&RL. A new feature recently enabled on the OJS platform allows reviewers to link their profile with their ORCID iD. We mentioned last time that this will enable auto-loading of your articles to your ORCID profile, but the other effect is that it provides an opportunity for reviewers to receive credit and be acknowledged for their professional contributions. Note that the credit will merely note that you have served as a reviewer for the IQ—it will not indicate which article(s) you reviewed. Unfortunately, the IQ editorial team had to retract a paper from publication this fall due to plagiarism. The paper titled “Data protection and right to privacy legislation in Kenya” by Mankone, A. M. (2023), was published in IQ, 47(3-4). The full retraction notice can be found here. This new issue of IQ 48(4) presents four excellent papers. The first two evaluate methods to enhance findability of data deposited in data repositories. The subsequent two papers focus on organizational structure and improving organizational workflows. Kokila Jamwal in ”Boosting data findability: The role of AI-enhanced keyword” examines the use of Artificial Intelligece (AI) to supplement keywords that ma