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

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Titel Assessing Data Management Needs and Practices to Enable Research Data Support Services
Serientitel GL 19 - Nineteenth International Conference on Grey Literature
Autor Smith, Plato L.
Bossart, Jean
Lizenz CC-Namensnennung 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/37264
Herausgeber GreyNet International
Erscheinungsjahr 2018
Sprache Englisch

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Fachgebiet Information und Dokumentation
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.

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