ACRL Artificial Intelligence (AI) Interest Group

The ResearchDataQ Editorial Board (part of the ACRL Digital Scholarship Section) is seeking proposals for editorials to be published on the ResearchDataQ website. Editorials are brief, reflective pieces that describe research data services, support models, or related activities, whether at your institution or across the field more broadly. This is a lightweight publishing opportunity that is ideal for reporting on works in progress, pilot efforts, or emerging ideas and trends. We especially welcome perspectives from early career professionals or LIS students.

Possible subjects for editorials could include:

• Collaborative data management/services (computing infrastructure, storage, software/code, etc.)

• Data ethics (privacy, ethical sharing, data ownership, data governance, data sovereignty, etc.)

• AI and data

• Data and instruction or tools built for instruction

• Responses to government or institutional policy changes related to research data

• Data rescue efforts

• Secondary use of data: acquisitions of data, collection policies related to data

• FAIR data in practice

• Replication/reproducibility

• Or anything else you want to share with the ResearchDataQ audience! 

Proposals (up to 250 words) should clearly describe:

1. The activities or concepts you intend to address;

2. How you implemented this and/or what would be required to implement it elsewhere;

3. How this relates to relevant existing recommendations, policies, or standards (if applicable).

Please submit proposals here by September 15th, 2025: https://forms.gle/4UuJfHcneQPy9mao7. We expect to notify authors of accepted proposals in October, and we will ask authors to expand accepted proposal topics into approximately 1000-1500 word editorials (ideally by late November, with the possibility to extend if needed). The editorials will be featured on the ResearchDataQ website on a rolling basis in winter 2026.

If you have any questions, please contact Whitney Kramer (chair) at wbk39@cornell.edu. 

 Sincerely,

 ResearchDataQ Editorial Board: Whitney Kramer, Isaac Wink, and June Kim.