Library Data Services caters to researchers interested in working with data, mapping, texts, visualization, and technology. Many of these services are available online. Davis Library Data Services, located on the second floor of Davis Library, offers:
Guided system from the California Digital Library for creating data management plans, customized with UNC resources. Select UNC from the list of institutions and login with your Onyen to see resources specific to our campus. Walks you through requirements for specific funding agencies. Allows you to work in sequence or jump around, save drafts, and export text files.
CDART is a rigorous, web-based data collection tool developed, maintained and used by the UNC Collaborative Studies Coordinating Center (https://sites.cscc.unc.edu/cscc/). It is the Center's comprehensive research data management solution, providing fully-paperless data acquisition, industry-leading validation, simple extraction, and powerful reporting.
REDCap is a secure web application that can be used to build and manage case report forms, surveys and other data capture mechanisms for clinical research. REDCap is user-friendly; with a small amount of training, you can build your own forms and reports and manage your own study data. REDCap at UNC is managed by the North Carolina Translational & Clinical Sciences Institute (NC TraCS) (https://tracs.unc.edu).
"Java Enterprise application for visualisation, management, and analysis of biological image data."
Tools for Describing Data
Metadata is descriptive information about data, including such things as how the data were collected, by whom and for what purpose. Such information is vital to enable re-use. For more information, see our Metadata Tutorial.
Meta-site indexing metadata standards. Enables searching for a standard by discipline or format and includes profiles, tools to implement the standards and use cases of data repositories currently implementing them. The author, the Digital Curation Centre, is U.K.-based.
Produced by expert members of the international DDI Working Group on Qualitative Data following two dedicated DDI meetings in 2011 and 2012, this paper represents an inclusive and relational model for complex data collections arising from qualitative and mixed methods research..
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