Browsing by keyword "Research and Training Center, Transitions"
Now showing items 1-2 of 2
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Lifecycle of Data Management Best Practices Workshops at the University of ConnecticutWe held three broad Data Management Best Practices Instruction for Graduate Students workshops covering an array of topics, taught by Library, Office for Sponsored Programs (OSP) and University IT (UITS) staff. - Started with the UMM Data Management Curriculum Framework to construct 2.5 hour workshop highlighting major topics of need for those handling research data. Content included: organization, storage, metadata, archiving, sharing data, and legal and ethical matters. - Collaborated with the OSP and UITS on content and as instructors in organizing, storage, sharing and legal sections. Library staff instructed in metadata and archiving, and co-instructed in organizing, storage and sharing. - Workshop included the head of UTS to talk about the University Governance Committee on Research & Scholarship. - Previewed a “ManagingData” listserv to support research data management questions and answers. - The last workshop’s slides and video available at: http://classguides.lib.uconn.edu/datamanagement - Based on feedback we reduced time and modified content, including less focus on policies and funders, reworking metadata section, adding more about storage. We more clearly delineated data security (during collection and analysis of data) versus data sharing (data set is finished and available.) - Feedback from attendees showed storage and security issues most important, followed by data management plan information (particularly the DMP Tool) and improved metadata section. - Students’ questions following workshops focused on storage and organization, then handling of large data sets. Next steps include single issue workshops (storage, security or software) and discipline-specific trainings in consultation with disciplinary IT and faculty.
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Toward a sustainable biomedical research enterprise: Finding consensus and implementing recommendationsThe US research enterprise is under significant strain due to stagnant funding, an expanding workforce, and complex regulations that increase costs and slow the pace of research. In response, a number of groups have analyzed the problems and offered recommendations for resolving these issues. However, many of these recommendations lacked follow-up implementation, allowing the damage of stagnant funding and outdated policies to persist. Here, we analyze nine reports published since the beginning of 2012 and consolidate over 250 suggestions into eight consensus recommendations made by the majority of the reports. We then propose how to implement these consensus recommendations, and we identify critical issues, such as improving workforce diversity and stakeholder interactions, on which the community has yet to achieve consensus.
