Training and Workshops

Fall 2021 Training Workshops


Prior Events, Training, and Workshops

Spring 2018 – 1st Annual Data Symposium


Fall 2017 – Training Workshops


Spring 2017 – Training Workshops


Fall 2016 – Training Workshops

  • 2nd and 3rd Data Management Training Workshops [Slides]
    Monday, October 24, 2016, 11:30 AM – 1:00 PM and 2:00 PM – 3:00 PM – UF Informatics Institute, Room #E251 – [Course Outline for the 2nd and 3rd Data Management Training Workshops]
  • 1st Data Management Plan Training Workshop
    Thursday, September, 22, 2016, 1:00 PM – 2:00 PM, Marston Science Library, Room 308
    Training Facilitators:  Plato Smith and David Van KleeckThis training workshop will introduce participants to (1) key stakeholders responsible for effective data management, (2) key components of a data management plan, (3) key data life-cycle processes involved in a data management plan, (4) some UF infrastructure and resources to include in a data management plan, and (5) the DMPTool that allows participants to develop a data management plan.Learning Objectives:
    Participants will learn to consider the various stakeholders needed in the curation of data throughout its life-cycle, why developing a data management plan is important for current and future research, and how to develop a data management plan using the DMPTool. Cite, share, and downloaded the slides for the 1st Data Management Plan Training Workshop 

Previous Training: Summer 2014 – Core Data Training for Reference Services Data Management/Curation Task Force Training Workshops in the Libraries

Unit 1: Core Data for Reference Services (July 14 – August 8, 2014, then in spring/summer as needed)

  • July 17, 1pm, LW 211: Overview: Data and UF Data Resources, D. Schwieder and J. Aufmuth
  • July 23, 1pm, MSL 308: Data Reference Workshop, Denise Bennett
  • July 29, 9-10am, LW419: DMPTool Workshop, Hannah Norton
  • July 30, 1-2pm, LW419: Responsible Conduct of Research, Michelle Leonard
  • August 5, 12pm, LW212: Copyright and Data, Christine Fruin

Overview: Data and UF Data Resources

Thursday, July 17, 1:00 PM – 4:00 PM, Library West Room 211
Presenter: David Schwieder and Joe Aufmuth


Data Management Series: Data Reference Workshop

Wednesday, July 23, 1:00 PM – 2:00 PM, Marston Library Room L308
Presenter: Denise Bennett

Raise your awareness and confidence in providing basic service to patrons who ask about obtaining data. We’ll focus on reference interview techniques, strategies for finding datasets, and differences across disciplines.


DMPTool Workshop

Tuesday, July 29, 9:00 AM – 10:00 AM, Library Room 419
Presenter: Hannah Norton

Part of the Data Management/Curation Task Force training series for librarians and library staff, this session will introduce DMPTool. This web-based product is freely available for researchers to use in writing data management plans for grant proposals and has been customized for UF researchers. In addition to DMPTool itself, this session will address the basic elements of data.


Responsible Conduct of Research

Responsible Conduct for Research training – https://research.ufl.edu/rcr/rcr-training/


Copyright and Data

Copyright on Campus Libguide – https://guides.uflib.ufl.edu/copyright

Big Data, Little Data: Having it All: A Research Data & Data Management Workshop (Oct. 3, 2013)

Using METACORE™ to Formulate New Hypotheses: Target Driven Knowledge Mining and Pathway Analysis of OMICs Data 
September 11, 12 noon – 1pm, HSC Library, C2-41C, Communicore Bldg.

Speaker: Melinda Baker, PhD – Thomson Reuters Solution Specialists
This webinar will introduce how MetaCore can be used to analyze “OMICs” data and explore mammalian biological signaling pathways and networks. Using a Parkinson’s Disease (PD) test case, we will examine how MetaCore can help you identify key signaling pathways and proteins important for transcriptional changes in Parkinson’s brains. In addition, we will explore the MetaCore knowledge base to build data driven signaling networks and identify potential avenues for future PD drug development. Attendees are encouraged to ask questions so that we may demonstrate the depth and breadth of biological content that is available through MetaCore and important for your research.
MetaCore™ is an integrated knowledge database and software suite for pathway analysis of experimental data and gene lists. The scope of data types includes microarray and sequence-based gene expression, SNPs and CGH arrays, RNAi screens, proteomics, metabolomics, Co-IP pull-out and other custom interactions. MetaCore™ is based on a proprietary manually-curated database of human protein-protein, protein-DNA and protein compound interactions, metabolic and signaling pathways for human, mouse and rat, supported by proprietary ontologies and controlled vocabulary. The analytical package includes easy-to-use, intuitive tools for searching and data visualization, enabling the identification of the most relevant biological pathways, networks, and processes.

PresenterProject Title
David Norton/ Elias EldayrieWelcome
Andrea Matsunga/ Mauricio TsugawaBig Data Support for Scientific Disciplines through Information Technology Engineering
S. BalachandarBig Data from simulations of extreme and environmental problems
Jim JonesData and Research for Sustainable Food Security
Liang MaoBig Geographic Data and GISciences
Paul GaderBig Data for Environmental Monitoring
Herman LamBig Data Meets High-Performance Reconfigurable Computing
Sanjay RankaBig Data: Research and Education
Erik DeumensHiPerGator and infrastructure for working with data
Bill FarmerieA role for glue people in big data research
Q/A-break
Pam SoltisBig Data in Biodiversity Studies
Eric TriplettBig Data and the search for a microbial cause for disease
Mike ConlonOpportunities for Big Data Medical Records
Betsy ShenkmanThe Power of Multiple Data Streams and Big Data in Health and Health Care
Brad BarbazukBiology and Big Data
Sixue ChenProteomics Data Generation and Analysis Toward Systems Biology
Art EdisonBig data prospective from metabolomics
Q/A-break
Thomas MareciImaging Structure and function in Biology with Magnetic Resonance
Joanna LongBig data, big noise, and big simulations
Kamran MohseniNovel methods for in situ measurement and simulation of hurricanes
Daisy WangBig Data Systems for Knowledge Base Construction from Text, Images and Crowds
George LanEmpowering nonlinear and stochastic optimization for large-scale data analysis
David HaleAutomated Analysis of Traffic Simulation
Kevin KnudsonTopological Data Analysis
David Norton/ Elias EldayrieQ/A - Final comments