## **IASSIST 2019** #### **Sydney, Australia | 31 May 2019** --- #### **Skilling Up Even More To Do Data for Reproducibility** ##### **Florio Arguillas, Cornell Institute for Social and Economic Research (CISER), Cornell University** ##### **Thu-Mai Christian, Odum Institute, University of North Carolina at Chapel Hill** ##### **Limor Peer, Institution for Social And Policy Studies (ISPS), Yale University** ##### **Cheryl Thompson,Odum Institute, University of North Carolina at Chapel Hill** Ten years ago, Pryor and Donnelly ([2009][1]) presented an important question in the title of their article, “Skilling Up to Do Data: Whose Role, Whose Responsibility, Whose Career?” At the time, this question was novel, with possible answers embedded in the article’s discussions about data curation competencies and training necessary for information professionals to effectively meet scientific community needs. A decade later, the question persists. As the research landscape evolves, the skillsets of information professionals must also evolve. A distinction of today’s research landscape is the increasing demand for reproducible research. Along with data sharing, the scientific community wants assurances that reported findings can be reproduced using the data and code originally employed to produce those findings. To be able to give these assurances, information professionals would need to skill up even more to do data for reproducibility. In the proposed paper, we describe a survey of existing training programs to identify gaps in opportunities for information professionals to acquire data curation for reproducibility skills. While this continues the discussion Pryor and Donnelly initiated ten years ago, it is a first step towards defining a data curation model to support 21st century research. **[Presentation Slides][2]** [1]: https://doi.org/10.2218/ijdc.v4i2.105 [2]: https://osf.io/hvt6s/