Assessing Data Management Needs and Practices to Enable Research Data Support Services

Video in TIB AV-Portal: Assessing Data Management Needs and Practices to Enable Research Data Support Services

Formal Metadata

Title
Assessing Data Management Needs and Practices to Enable Research Data Support Services
Title of Series
Author
License
CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
2017
Language
English

Content Metadata

Subject Area
Abstract
Researchers are faced with many data management challenges resulting from the need to comply with data management and sharing requirements of funding agencies. While major funding agencies such as the American Heart Association (AHA), National Institutes of Health (NIH), National Science Foundation (NSF), and United States Department of Agriculture (USDA) have data management and sharing requirements guidelines and/or statements, researchers seeking funding struggle with complying, fulfilling, and negotiating data lifecycle management. Data lifecycle management requirements include a.) The key components of a data management plan (DCC, 2013), b.) Key data lifecycle processes (USGS, 2013), c.) Data management lifecycle (UNSW, 2017), and d.) Research data management services (Jones, Pryor, & Whyte, 2013) for scalability and sustainability. The coordination, collaboration, and connection of diverse stakeholders across multiple departments, organizations, and units in support of good data management requires consistent organization, technology, and resources to maintain stability (University of Glasgow Humanities Advanced Technology & Information Institute [HATII], University of London Computer Centre, DCC, & Joint Information Systems Committee [JISC], 2013). The University of Florida (UF) is in pursuit of good data management within and across multiple disciplines. “It will be difficult to improve your institutional infrastructure without an overall understanding of the data you currently hold and how researchers at your institution are managing their data.” – CARDIO v.2 (Collaborative Assessment of Research Data Infrastructure and Objectives) A UF data survey (IRB# 201602303) titled “Investigating Data Assets, Management, and Planning at UF” administered from January 2017 through April 2017 yielded results in support of education, support, and training to better assist researchers in meeting the data management and sharing requirements of funding agencies. This presentation will introduce preliminary data survey results that contributed to the development of a NSF Computer and Information Science and Engineering (CISE) Research Initiation Initiative (CRII). The purpose of the CRII is to develop socio-technical (people, policies, technologies, and communities) components to build capacity, infrastructure, and support for expanding and facilitating the culture of good data management across UF communities of practice.
Feedback
hidden