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Biology Information Literacy: Part II: Skills & Techniques
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Biology Information Literacy: Part II: Skills & Techniques: Data Management
Developing Research Skills
Ethics in Science
Databases for Sequences & Barcoding
Effective Scientific Presentations
Writing in Science
Bibliographic Management Tools
Part I: Resources & the Library ↗
Laboratory Notebook Management
in Part I for guides on keeping a lab notebook.
Effective Data Practices
DataOne Primer on Data Management (.pdf)
Best practices that will enable you to develop a data management plan, and effectively create, organize, manage, describe, preserve and share data.
Mānoa Data Talks
Available with UH login. Information about data management best practices.
Data Management for Data Providers
An overview of data management planning and preparation, and practical methods to successfully share and archive your data. More details can be found here:
Best Practices for Preparing Environmental Data Sets to Share and Archive
Some Simple Guidelines for Effective Data Management
Elizabeth T. Borer et al.
Use a scripted statistics program such as R or SAS that provide a record of your analyses.
Store files in a non-proprietary format and on a non-proprietary hardware.
Store a copy of your original rough data as a read-only, making copies to use in analysis.
Provide descriptive filenames and designate the first row of tables as a header.
Organize records in rows, using column headings that will allow analysis within columns rather than across columns, example: SITE YEAR RAIN TEMP SPEC_NAME POP.
Set up your tables so that you do not have to add columns when adding data.
Use ASCII characters to minimize translation problems with software programs.
Your data tables should only contain data, comments should be in a read.me text file that accompanies the table.
Making a Codebook
What is a codebook?
Follow link for guidance on creating the all important README file to accompany your data in perpetuity.
Ethics in Science
Databases for Sequences & Barcoding >>
Dec 5, 2017 2:23 PM