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.

Editorial: “Ten Years of Sharing Reproducible Research”


We are excited to announce a new editorial today by Limor Peer of Yale University. The editorial is titled “Ten Years of Sharing Reproducible Research,” and it describes the experience of the Institution for Social and Policy Studies (ISPS) Data Archive over the last decade. The editorial details lessons learned from sharing reproducible research, including “that each choice – about what to share, how to share, what it means to carefully review – must rely on good practices, standards, protocols, and infrastructures being embraced by all the different actors involved.” Read the editorial here

Editorial: “Implementing Library Data Services Within an Evolving Research Community”

We are excited to announce a new editorial today by Anthony J. Dellureficio and Donna S. Gibson of the Memorial Sloan Kettering Cancer Center Library. The editorial is titled “Implementing Library Data Services Within an Evolving Research Community,” and it describes the development of library data services at “one of the oldest cancer centers in the country committed to cutting-edge research, exceptional educational programs, and a focus on innovative and exemplary patient care.”  In this editorial, the authors “describe the origins of our new program, the challenges we’ve faced, how we have adapted to changing needs, and what services we have and plan to execute to best serve our evolving research community.” Read the editorial here

Editorial: “What Would it Take? Building a Topically Relevant Data Repository Amidst the COVID-19 Pandemic”

We are excited to announce a new editorial today by Kyrani Reneau of the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan. The editorial is titled “What Would it Take? Building a Topically Relevant Data Repository Amidst the COVID-19 Pandemic, ” and it describes ICPSR’s COVID-19 Data Repository. This “free self-publishing repository for data examining the social, behavioral, public health, and economic impact of the novel coronavirus…provides a way for researchers across an array of disciplines to share COVID-19 related data and promotes the replication and reproducibility of studies to better understand and respond to future outbreaks.” Read the editorial here

Editorial: “Where Do We Go From Here? Presenting a Toolkit for Advancing Research Data Services Beyond the Basics”

We are excited to announce a new editorial today by Cinthya Ippoliti of the University of Colorado Denver and Kay K. Bjornen, Ph.D. of Oklahoma State University. The editorial is titled “Where Do We Go From Here? Presenting a Toolkit for Advancing Research Data Services Beyond the Basics,” and it describes a toolkit “designed to guide libraries who encounter the same challenges that we did as they create research data services and especially those who must work with the limited resources at their disposal.” Read the editorial here.

Watch for more ResearchDataQ editorials coming in early 2022!

Call for Editorial Proposals by June 30th

The ResearchDataQ Editorial Board (part of the ACRL Digital Scholarship Section) is seeking proposals for editorials that describe services, support, or related activities around research data at your institution. Topics could include privacy, ethical data sharing, 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 June 30, 2021: https://goo.gl/forms/oxqIaoQ3tlGmfhil2. We expect to notify authors of accepted proposals in mid-July, and we will ask authors to expand accepted proposal topics into approximately 1000-1500 word editorials (ideally by mid-September with the possibility to extend if needed). The editorials will be featured on the ResearchDataQ website.

If you have any questions, please contact Andrew Johnson (andrew.m.johnson@colorado.edu).

Editorial: “The Evolution of Data Literacy Education at Florida State University Libraries”


We are excited to announce a new editorial today by Nick Ruhs of Florida State University. The editorial is titled “The Evolution of Data Literacy Education at Florida State University Libraries,” and it describes the growth of data literacy instruction at the author’s institution from “a handful of one-shot workshops focused on research data management” to “a mature series of multi-disciplinary training opportunities focused on data analysis and visualization software.” Read the editorial here.

Editorial: “The Pokémon has Four Arms: Research Data Management Education through Popular Culture”

We are excited to announce a new editorial today by Hannah Gunderman of Carnegie Mellon University. The editorial is titled “The Pokémon has Four Arms: Research Data Management Education through Popular Culture,” and it provides a case study describing a fun and engaging approach to teaching research data management by “using Pokémon to teach how to write detailed, reproducible documentation for research data in a project.” Read the editorial here.

Editorial: “Historical Analog Data: Valuable Asset at Risk on Your Campus”


We are excited to announce a new editorial today by Lois G. Hendrickson, Kristen L. Mastel, Shannon L. Farrell, and Julia A. Kelly of the University of Minnesota Libraries – Twin Cities. Their editorial is titled “Historical Analog Data: Valuable Asset at Risk on Your Campus,” and it discusses their work and lessons learned from helping researchers with analog data as well as a survey of the research literature where scientists used analog data. Read the editorial here.

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