Education Modules
Below are links to education modules in powerpoint format that you can download and incorporate into your teaching materials. Materials are licensed as CC0 and you may enhance and reuse for your own purposes. All slides can be previewed in the embedded slideshare viewer below. We also provide 1 page synopses (with space for contact information) that can be used to promote Data Management training events at your institution.
The topics covered include:
Lesson 01: Why Data Management (.pptx)
Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle. Last update: May 2012.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle. Last update: May 2012.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Lesson 02: Data Sharing (.pptx)
Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data. Last update: Jul 2012.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data. Last update: Jul 2012.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Lesson 03: Data Management Planning (.pptx)
Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP. Last update: May 2012.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP. Last update: May 2012.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Lesson 04: Data Entry and Manipulation (.pptx)
Best practices for data entry, data entry and data manipulation tools. Last update: Apr 2015.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Supporting data for Exercises 04, 05, 07, 08 (.zip)
Best practices for data entry, data entry and data manipulation tools. Last update: Apr 2015.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Supporting data for Exercises 04, 05, 07, 08 (.zip)
Lesson 05: Data Quality Control and Assurance (.pptx)
Types of data errors, best practices for data quality assurance and control to prevent and correct errors. Last update: May 2012.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Supporting data for Exercises 04, 05, 07, 08 (.zip)
Types of data errors, best practices for data quality assurance and control to prevent and correct errors. Last update: May 2012.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Supporting data for Exercises 04, 05, 07, 08 (.zip)
Lesson 06: Data Protection and Backups (.pptx)
The difference between data protection, backup, archiving and preservation, best practices for backing up and preserving data. Last update: Jul 2012.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
The difference between data protection, backup, archiving and preservation, best practices for backing up and preserving data. Last update: Jul 2012.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Lesson 07: Metadata (.pptx)
Metadata defined, information included in metadata, selection of metadata standards, the value and utility of metadata. Last update: May 2012.
One page handout (.pdf)
Supporting hands-on exercise (same for Lesson 07 and Lesson 08) (.pdf)
Supporting data for Exercises 04, 05, 07, 08 (.zip)
Metadata defined, information included in metadata, selection of metadata standards, the value and utility of metadata. Last update: May 2012.
One page handout (.pdf)
Supporting hands-on exercise (same for Lesson 07 and Lesson 08) (.pdf)
Supporting data for Exercises 04, 05, 07, 08 (.zip)
Lesson 08: How to Write Quality Metadata (.pptx)
Best practices for writing high quality metadata. Last update: May 2012.
One page handout (.pdf)
Supporting hands-on exercise (same for Lesson 07 and Lesson 08) (.pdf)
Supporting data for Exercises 04, 05, 07, 08 (.zip)
Best practices for writing high quality metadata. Last update: May 2012.
One page handout (.pdf)
Supporting hands-on exercise (same for Lesson 07 and Lesson 08) (.pdf)
Supporting data for Exercises 04, 05, 07, 08 (.zip)
Lesson 09: Data Citation (.pptx)
Data citation defined, benefits of data citation, examples and best practices for data citation. Last update: Apr 2015.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Data citation defined, benefits of data citation, examples and best practices for data citation. Last update: Apr 2015.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Lesson 10: Analysis and Workflows (.pptx)
Types of data analyses, introduction to reproducibility, provenance, and workflows, informal (conceptual) and formal (executable) workflows. Last update: May 2012.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Types of data analyses, introduction to reproducibility, provenance, and workflows, informal (conceptual) and formal (executable) workflows. Last update: May 2012.
One page handout (.pdf)
Supporting hands-on exercise (.pdf)
Lesson 01-10: A complete set of all 10 modules (.pptx)
Slide previews
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