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Data CuRe Fellows: Call for application (2021-2022 Academic Year)
Data CuRe Fellows contribute expertise to the Data Curation for Reproducibility (Data CuRe) Training Program. Fellowships last for one academic year, and a $1,000 stipend is awarded to information professionals with demonstrated interest in facilitating transparent and reproducible methods of quantitative research. We seek applications from individuals who are highly motivated and have great potential to become a leaders and advocates in this area. Applications are due June 15, 2021.
About the Fellowships
The Data CuRe Fellowship provides professional development, education, and training opportunities in data curation and code review in support of raising awareness and building capacity for sound practices of curating for reproducibility.
The inaugural term of the Fellowships is one academic year (2021-2022). Fellows will contribute to curriculum development and implementation and have responsibilities in three areas: Incorporating Data CuRe practices in their own work, engaging in the development, dissemination, and evaluation of the Data CuRe curriculum, and attending a professional conference related to Data CuRe (before June 2022).
Incorporating Data CuRe practices: Data CuRe principals will mentor the Fellows and account for their particular circumstances. Each Fellow will develop and implement a plan for incorporating Data CuRe practices in their daily work. This can include implementation of Data CuRe practices by individuals or small groups, the introduction of a new service on campus, building upon current services, and more.
Engaging in the development, dissemination, and evaluation of the Data CuRe curriculum: In close communication with Data CuRe principals, Fellows are expected to actively engage in the development and implementation of the Data CuRe curriculum, including using the Library Carpentry platform.
Attending a professional conference related to Data CuRe (before June 2022): Fellows are expected to participate in a professional conference or event relevant to Data CuRe, as an opportunity for professional development and engagement with the topic. Other activities may be also considered as long as they promote curating for reproducibility; these activities may take on different forms, and may be carried out either independently or in collaboration with other Fellows and associates of Data CuRe.
Our goal is to foster a network of information professionals and educators working to promote training in and adoption of curation practices for transparent, reproducible quantitative research. We anticipate that a successful program this year will lead to a continuation of the fellowship program in the future.
Eligibility and Selection Criteria
Successful applicants will be early career information professionals who are attending or have graduated from LIS and iSchool programs in the U.S. Fellows may have experience in training students about reproducible research. They may be part of data curation and reproducibility services at their organizations, involved in planning for such services, or have an interest in honing their skills to perform this work.
Diversity and Inclusion
As articulated in the Data CuRe grant proposal statement on diversity, we are committed to addressing diversity and inclusion among colleagues and students who engage with our efforts. We seek to manifest those values in all our programs, and in the personal essay on the Fellowship application, we ask candidates to discuss any ways in which they might be able to contribute to our efforts to promote diversity and inclusion.
Each Fellow will receive a stipend of $1,000, half of which will be paid upon acceptance and half of which will be paid at the conclusion of the fellowship period, May 1, 2022.
The online application form is available here. Applications are due June 15, 2021.
For any questions, please contact,
Florio Arguillas, Cornell University
Thu-Mai Christian, University of North Carolina, Chapel Hill
Limor Peer, Yale University
For more information about the on the CURE (Curating for Reproducibility) Consortium, visit the CURE project page on OSF. This project is funded by the Institute of Museum and Library Services (IMLS).
Limor Peer, PhD
Associate Director for Research
Yale University | Institution for Social and Policy Studies
203-432-0054 | ***@***.*** | isps.yale.edu | @l_peer
Of possible interest: Data CuRe Fellows Call for Application
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