Intro -- CONTENTS -- ABOUT THE AUTHOR -- ACKNOWLEDGEMENTS -- 1 THE DATA PROBLEM -- 1.1 WHY IS EVERYONE TALKING ABOUT DATA MANAGEMENT? -- 1.2 WHAT IS DATA MANAGEMENT? -- 1.2.1 Defining data -- 1.2.2 Defining data management -- 1.3 WHY SHOULD YOU DO DATA MANAGEMENT? -- 2 THE DATA LIFECYCLE -- 2.1 THE DATA LIFECYCLE -- 2.1.1 The old data lifecycle -- 2.1.2 The new data lifecycle -- 2.2 THE DATA ROADMAP -- 2.2.1 Following the data roadmap -- 2.3 WHERE TO START WITH DATA MANAGEMENT -- 2.4 CHAPTER SUMMARY -- 3 PLANNING FOR DATA MANAGEMENT -- 3.1 HOW TO PLAN FOR DATA MANAGEMENT -- 3.1.1 The importance of planning for data management -- 3.1.2 How to customize data management to your needs -- 3.2 CREATING A DATA MANAGEMENT PLAN -- 3.2.1 Why create a written data management plan? -- 3.2.2 What a data management plan covers -- 3.2.3 Creating a data management plan for your research -- 3.3 DATA POLICIES -- 3.3.1 Types of policies and where to find them -- 3.3.2 Data privacy policies -- 3.3.3 Data retention policies -- 3.3.4 Data ownership policies -- 3.3.5 Data and copyright -- 3.3.6 Data management policies -- 3.3.7 Data sharing policies -- 3.4 CASE STUDIES -- 3.4.1 Example data management plan for a Midwest ornithology project -- 3.4.2 My data management plan for this book -- 3.5 CHAPTER SUMMARY -- 4 DOCUMENTATION -- 4.1 RESEARCH NOTES AND LAB NOTEBOOKS -- 4.1.1 Taking better notes -- 4.1.2 Laboratory notebooks -- 4.1.3 Electronic laboratory notebooks -- 4.2 METHODS -- 4.2.1 Definition of methods -- 4.2.2 Evolving protocols -- 4.2.3 Managing methods information -- 4.3 OTHER USEFUL DOCUMENTATION FORMATS -- 4.3.1 README.txt files -- 4.3.2 Templates -- 4.3.3 Data dictionaries -- 4.3.4 Codebooks -- 4.4 METADATA -- 4.4.1 When to use metadata versus notes -- 4.4.2 The basics of metadata -- 4.4.3 Adopting a metadata schema -- 4.5 STANDARDS.

4.5.1 General standards -- 4.5.2 Scientific standards -- 4.6 CHAPTER SUMMARY -- 5 ORGANIZATION -- 5.1 FILE ORGANIZATION -- 5.1.1 Organizing digital information -- 5.1.2 Organizing physical content -- 5.1.3 Organizing related physical and digital information -- 5.1.4 Indexes -- 5.1.5 Organizing information for collaborations -- 5.1.6 Organizing literature -- 5.2 NAMING CONVENTIONS -- 5.2.1 File naming -- 5.2.2 File versioning -- 5.3 DOCUMENTING YOUR CONVENTIONS -- 5.3.1 What to document -- 5.3.2 Where to document -- 5.4 DATABASES -- 5.4.1 How databases work -- 5.4.2 Querying a database -- 5.5 CHAPTER SUMMARY -- 6 IMPROVING DATA ANALYSIS -- 6.1 RAW VERSUS ANALYZED DATA -- 6.1.1 Managing raw and analyzed data -- 6.1.2 Documenting the analysis process -- 6.2 PREPARING DATA FOR ANALYSIS -- 6.2.1 Data quality control -- 6.2.2 Spreadsheet best practices -- 6.3 MANAGING YOUR RESEARCH CODE -- 6.3.1 Coding best practices -- 6.3.2 Version control -- 6.3.3 Code sharing -- 6.4 CHAPTER SUMMARY -- 7 MANAGING SENSITIVE DATA -- 7.1 TYPES OF SENSITIVE DATA -- 7.1.1 National data privacy laws -- 7.1.2 Ethics and sensitive data -- 7.1.3 Other data categorized as sensitive -- 7.2 KEEPING DATA SECURE -- 7.2.1 Basic computer security -- 7.2.2 Access -- 7.2.3 Encryption -- 7.2.4 Destroying data -- 7.2.5 Personnel -- 7.2.6 Training and keeping a security plan -- 7.2.7 Summarization of the dos and don'ts -- 7.3 ANONYMIZING DATA -- 7.3.1 Types of personally identifiable information -- 7.3.2 Masking data -- 7.3.3 De-identifying data -- 7.3.4 Other anonymization considerations -- 7.4 CHAPTER SUMMARY -- 8 STORAGE AND BACKUPS -- 8.1 STORAGE -- 8.1.1 Storage best practices -- 8.1.2 Storage hardware -- 8.1.3 Choosing storage -- 8.1.4 Physical storage -- 8.2 BACKUPS -- 8.2.1 Backup best practices -- 8.2.2 Backup considerations -- 8.2.3 Test your backups.

8.2.4 Backing up analog data -- 8.3 CASE STUDIES -- 8.4 CHAPTER SUMMARY -- 9 LONG-TERM STORAGE AND PRESERVATION -- 9.1 WHAT TO RETAIN AND HOW LONG TO RETAIN IT -- 9.1.1 Data retention policies -- 9.1.2 Common sense data retention -- 9.2 PREPARING YOUR DATA FOR THE LONG TERM -- 9.2.1 Keeping fi les readable -- 9.2.2 Keeping datasets interpretable -- 9.2.3 Long-term data management -- 9.3 OUTSOURCING DATA PRESERVATION -- 9.4 CHAPTER SUMMARY -- 10 SHARING DATA -- 10.1 DATA AND INTELLECTUAL PROPERTY -- 10.1.1 Data and copyright -- 10.1.2 Licenses and contracts -- 10.1.3 Patents -- 10.1.4 Intellectual property and data sharing -- 10.2 LOCAL DATA SHARING AND REUSE -- 10.3 COLLABORATIONS -- 10.4 PUBLIC DATA SHARING -- 10.4.1 Reasons for public sharing -- 10.4.2 Sources of public sharing requirements -- 10.4.3 When and what to share -- 10.4.4 Preparing your data for sharing -- 10.4.5 How to share -- 10.4.6 Licensing shared data -- 10.5 GETTING CREDIT FOR SHARED DATA -- 10.5.1 The basics of getting credit for your data -- 10.5.2 Altmetrics -- 10.6 CHAPTER SUMMARY -- 11 DATA REUSE AND RESTARTING THE DATA LIFECYCLE -- 11.1 FINDING AND REUSING DATA -- 11.1.1 Finding data -- 11.1.2 Data reuse rights -- 11.1.3 Using someone else's data -- 11.2 CITING DATA -- 11.2.1 Citation format -- 11.2.2 Other citation considerations -- 11.3 RESTARTING THE DATA LIFECYCLE -- REFERENCES -- INDEX.

Learning how to manage, share and preserve data is essential for active researchers. A comprehensive guide for scientific researchers providing everything they need to know about data management and how to organize, document, use and reuse their data.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2025. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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