Author: clara

It is a pleasure to announce a new editorial by Songyao Chen and Joyce Garczynski of Albert S. Cook Library, at Towson University. In the editorial, titled “If you build research data services (and market them well), they will come”, the authors explain the efforts of a new data science librarian to revitalize and reinvigorate data services at Towson Library, which involved work on partnerships, outreach, improvements on already existing services, and a new communication strategy. Read the editorial here.

We are thrilled to share that ResearchDataQ is publishing a new editorial today by Brianne Dosch and Sidney Gavel, from University of Tennessee, Knoxville. They describe the guidelines the library created to direct the acquisition of datasets for their library collections, so that they remain relevant and impactful for their users, while keeping the process flexible and adaptable. The editorial provides examples of application of their guidelines, and discusses how to consider usage statistics, licensing, and interactions with non-traditional vendors when managing dataset collections. Read the editorial here.

The ResearchDataQ Editorial Board (part of the ACRL Digital Scholarship Section) is seeking proposals for editorials that will be featured prominently on the ResearchDataQ website. We are seeking editorials that describe services, support, or related activities around research data at your institution. Topics 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
• Data policies, including responses or practices that institutions have put in place to respond to the OSTP memo and other recent policies (NIH DMS policy)
• 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 services, support, or related activities 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 March 31st, 2025: https://forms.gle/4UuJfHcneQPy9mao7. We expect to notify authors of accepted proposals in April, and we will ask authors to expand accepted proposal topics into approximately 1000-1500 word editorials (ideally by late June, with the possibility to extend if needed). The editorials will be featured on the ResearchDataQ website on a rolling basis in early summer or fall 2025.

If you have any questions, please contact Clara Llebot Lorente (chair) at clara.llebot@oregonstate.edu. 

Sincerely,

ResearchDataQ Editorial Board: Clara Llebot Lorente, Whitney Kramer, Marla Hertz, Charissa O. Jefferson, Ali Krzton and Isaac Wink.

We are excited to announce a new editorial by Briana E Wham, of The Pennsylvania State university Libraries. The editorial titled “Leveraging Task-Specific Large Language Models to Enhance Research Data Management Services” explores the potential for integrating Large Language Models to enhance data management and sharing services. The editorial provides a high level perspective of the topic, including some examples and discussing its limitations.

It is a pleasure to announce a new editorial by Peace Ossom (now at MIT), Justin de la Cruz and Genevieve Milliken of NYU Langone Health. The editorial, titled “Isn’t This Fun? Structured Learning for Data Science and Data Management Services” describes the development of two online free courses that teach basic data services skills for the health science context. The courses, “Fundamentals of Health Sciences Research Data Management” and “Fundamentals of Health Data Sicence”, offered annually, had been offered twice and once respectively at the time of writing. The editorial reports the outcomes of the courses, and their positive reception.

It is a pleasure to announce a new editorial by Cindy Elliott, Jim Martin and Niamh Wallace, of University of Arizona. The editorial, titled “Challenges and opportunities in research data acquisition”, is part two of a two-part series on how institutions manage the incorporation of external datasets. The authors describe the creation of a dataset grant program that funds a dataset purchase or subscription at a researcher request, and outline the challenges and recommendations that they have encountered. Read the editorial here.

We are excited to announce a new editorial today by Matthew Hutchinson of Stanford University. The editorial is titled “Reviewing Applications to Access Secure Social Science Data”. This editorial is the first part of a two-part series devoted to the topic of how institutions manage the incorporation of external datasets. This first editorial describes how the Library at Stanford University’s Graduate School of Business has been working to provide the broadest access possible to business datasets needed by their researchers, while respecting data licensing agreements. Read the editorial here. Another editorial describing a different strategy for the same topic will be published soon!

The ResearchDataQ Editorial Board (part of the ACRL Digital Scholarship Section) is seeking proposals for editorials that will be featured prominently on the ResearchDataQ website. We are seeking editorials that describe services, support, or related activities around research data at your institution. Topics 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
• Data policies, including responses or practices that institutions have put in place to respond to the OSTP memo and other recent policies (NIH DMS policy)
• 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 services, support, or related activities 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 January 15th, 2024: https://goo.gl/forms/oxqIaoQ3tlGmfhil2. We expect to notify authors of accepted proposals in mid February, and we will ask authors to expand accepted proposal topics into approximately 1000-1500 word editorials (ideally by mid-April with the possibility to extend if needed). The editorials will be featured on the ResearchDataQ website on a rolling basis beginning in late spring 2024.

If you have any questions, please contact Clara Llebot Lorente (incoming Chair) at clara.llebot@oregonstate.edu.

It is a pleasure to announce a new editorial by Karrie Peterson, Head for Liaison, Instruction & Reference Services at Massachusetts Institute of Technology, and Amy Nurnberger, Program Head of Data Management Services, also at Massachusetts Institute of Technology. The editorial, titled “Research Data Support: a Transformative Approach to Jointly Growing Services and Skills”, describes “Digging into Data“, a recent initiative for librarians at MIT Libraries to develop skills and “to iterate forward with both learning and service development”. Read the editorial here.