[CODATA-international] data mgmt capacity building session at AGU Fall Meeting
Davis, Rowena Irene - (rowenaidavis)
rowenaidavis at email.arizona.edu
Mon Jul 9 18:38:03 EDT 2018
I would like to alert you to the AGU session IN011: Building Research Data Management Capacity: Targeted Data Training for the Research Team<https://agu.confex.com/agu/fm18/prelim.cgi/Session/52302> at the 2018 AGU Fall Meeting<https://fallmeeting.agu.org/2018/> (Washington DC, 10-14 December) and encourage you or colleagues who are involved in capacity building activities surrounding data management training to consider submitting an abstract if you are planning to attend the event.
As the research climate demands increasing levels of data literacy among its researchers, a variety of training options are in development. This session aims to explore approaches to data management capacity building activities in order to inform researchers, teams, and funders of some existing options and empower them to build knowledge about approaches that fit with their goals and institutional requirements.
Abstracts are due 1 August 2018, 11:59 P.M. EDT.
We hope that you consider submitting an abstract yourself or forwarding this notice to your colleagues. We believe this session can be a timely platform to increase awareness of the myriad of approaches to data planning, stewardship, and sharing, and are hoping to showcase a broad range of training activities that address the research life cycle, team members, and disciplinary considerations.
You can learn more about submission guidelines at the AGU abstract submission site<https://fallmeeting.agu.org/2018/abstract-submissions/>, and you are welcome to contact us any time with questions.
Please note, this invite does not include registration to AGU’s Fall Meeting, abstract submission fees, or travel/housing support.
Thank you for your consideration,
Rowena Davis and Nancy Hoebelheinrich
IN011: Building Research Data Management Capacity: Targeted Data Training for the Research Team<https://agu.confex.com/agu/fm18/prelim.cgi/Session/52302>
As science becomes increasingly data-intensive, researchers face mounting expectations regarding data organization, management, and access that meet open and FAIR data requirements. Investment and planning are required to ensure that the project team as a whole, and individual team members, have the requisite data skills for all stages of the research lifecycle. In addition, skills tailored to the data types for specific disciplines are becoming even more highly valued. But-- how does one develop data skills efficiently?
This session will explore capacity building approaches for research teams from several angles, including PI perspectives on needs, and implementation of data management practices in general and within specific science disciplines. Other topics will include the advantages of well-organized and managed data, how data repositories can help research teams meet funders’ and publishers’ requirements, disciplinary initiatives that create and highlight educational resources, and opportunities to maximize the impact of research via data sharing.
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