The Data Management Workbook (eBook, ePUB)
Practical Exercises for Better Organization, Storage and Use of Your Research Data
Erscheint vor. 02.12.25
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If you want to manage your research data better but don't know where to begin, this short workbook will help you get started!The Data Management Workbook helps researchers design useful data-management plans through a step-by-step series of structured exercises, worksheets and checklists, including: - creating a data dictionary - evaluating a lab notebook - finding the best way to organize your files - setting up useful file naming conventions - writing effective README.txt files - selecting the right data repository - determining data stewardship - preparing data for future useSuitabl...
If you want to manage your research data better but don't know where to begin, this short workbook will help you get started!
The Data Management Workbook helps researchers design useful data-management plans through a step-by-step series of structured exercises, worksheets and checklists, including:
- creating a data dictionary
- evaluating a lab notebook
- finding the best way to organize your files
- setting up useful file naming conventions
- writing effective README.txt files
- selecting the right data repository
- determining data stewardship
- preparing data for future use
Suitable for researchers working in many different disciplines, this guide also shows how to customize data-management plans to better fit your individual workflows, methodologies, laboratories and datasets. Author Kristin Briney builds on the foundations in her previous book, Data Management for Researchers, to help bridge the gap between understanding the principles and being able to implement data management as part of your research practice.
The Data Management Workbook helps researchers design useful data-management plans through a step-by-step series of structured exercises, worksheets and checklists, including:
- creating a data dictionary
- evaluating a lab notebook
- finding the best way to organize your files
- setting up useful file naming conventions
- writing effective README.txt files
- selecting the right data repository
- determining data stewardship
- preparing data for future use
Suitable for researchers working in many different disciplines, this guide also shows how to customize data-management plans to better fit your individual workflows, methodologies, laboratories and datasets. Author Kristin Briney builds on the foundations in her previous book, Data Management for Researchers, to help bridge the gap between understanding the principles and being able to implement data management as part of your research practice.
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