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.
Editorial: “Challenges and opportunities in research data acquisition”
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.
Call for editorial proposals by July 31st, 2024
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 July 31st, 2024: https://forms.gle/4UuJfHcneQPy9mao7. We expect to notify authors of accepted proposals in mid August, and we will ask authors to expand accepted proposal topics into approximately 1000-1500 word editorials (ideally by late October, with the possibility to extend if needed). The editorials will be featured on the ResearchDataQ website on a rolling basis in late fall 2024.
If you have any questions, please contact Clara Llebot Lorente (chair) at clara.llebot@oregonstate.edu.
Editorial: Reviewing Applications to Access Secure Social Science Data
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!
Call for Editorial Proposals by January 15th
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.
Editorial: “Research Data Support: a Transformative Approach to Jointly Growing Services and Skills”
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.
Editorial: “Helping Canadian Institutions Evaluate their Research Data Management Practices”
We are excited to announce a new editorial by Jane Fry, the Data Services Librarian at Carleton University, and Chantal Ripp, Research Librarian at the University of Ottawa. In the editorial, titled “Helping Canadian Institutions Evaluate their Research Data Management Practices” the authors explain the implementation of an RDM Maturity Assessment Model in Canada (MAMIC). The MAMIC is available in French and English and can be used by any institution. The goal of the assessment is to detect gaps in RDM support, a necessary step to develop an institutional RDM strategy to comply with the Research Data Management Policy published by the Tri-Agency in 2021. Read the editorial here.
Editorial: “Making Campus Connections: Facilitating Research Computing and Data Support at NC State UniversityEditorial”
We are excited to announce a new editorial today by Moira Downey of NC State University Libraries. The editorial is titled “Making Campus Connections: Facilitating Research Computing and Data Support at NC State University” and describes the creation of a campus-wide Research Facilitation Service. The editorial gives details about the pilot that informed these services, their successes, and challenges.
Call for Editorial Proposals by July 31st
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.)
- Data literacy
- Data policies
- FAIR data in practice
- Qualitative data management and analysis
- 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 July 31, 2022: https://goo.gl/forms/oxqIaoQ3tlGmfhil2. We expect to notify authors of accepted proposals in late August, and we will ask authors to expand accepted proposal topics into approximately 1000-1500 word editorials (ideally by mid-October with the possibility to extend if needed). The editorials will be featured on the ResearchDataQ website on a rolling basis beginning in early 2023.
If you have any questions, please contact Clara Llebot Lorente (incoming Chair) at clara.llebot@oregonstate.edu.
Editorial: “Bespoke Research Data Management in the Age of Big Data: The Value of a Cross Unit Collaborative Data Professional Community”
We are excited to announce a new editorial today by Jordan Wrigley, Aditya Ranganath, and Ryan Caillet of the University of Colorado Boulder. The editorial is titled “Bespoke Research Data Management in the Age of Big Data: The Value of a Cross Unit Collaborative Data Professional Community,” and it describes their institution’s “model of collaborative consultation to develop bespoke workflows that address the data management needs of projects involving large and complex datasets.” Read the editorial here.