Personal Identifier

orcid.org/0000-0002-3681-4888

Keywords

Data documentation, Data analysis, Statistical software, R, SPSS, SAS, STATA, NVivo, Biostatistician Services, Metadata services, Data Curation Network, DCN, Primer, UCF Research Data Management Survey, Data, Research data, Datasets, Study-level documentation, Data-level documentation, Dataset examples, Controlled Vocabularies, Thesauri, Curation tools, Cataloging, Data repository

Abstract

Workshop on data documentation, analysis & statistical software delivered online to the University of Central Florida (UCF)’s graduate students. This workshop is conducted by a Statistician at the College of Medicine and the Metadata Librarian at UCF. It includes five modules which focus on data basics, data documentation, dataset metadata, data analysis and statistical software. The data basics section introduces data, research data and dataset, the need for documenting and preserving research data. The data documentation and dataset metadata sections touch on researchers’ data practices and offer some general recommendations for a researcher’s research lifecycle. They also discuss documenting data at the study level and data level along with examples and resources. In addition, the NVivo and SPSS data curation primers are included. The data analysis section addresses various types of data analysis and related services. The statistical software section offers an introduction to statistical software including R, Stata, SAS and SPSS with real-world examples. The students will get a comprehensive view of data, data documentation, analysis and preservation, learn many data examples and see live demos of various data tools.

Publication Date

6-29-2020

Original Citation

Deng, S. & Zhu, X. (2020). Data documentation, analysis & statistical software. UCF Graduate Student Workshop, online. June 29, 2020.

Document Type

Other Presentation

Rights

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

College

Information Technologies & Resources

Location

Orlando (Main) Campus

Department

University Libraries



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