Concepts and Case Studies in Data Management

Contents

Part I CONCEPTS

• 1.1 What is Research Data Management?
• Terminology
• The RDM Legacy
• 1.2 A Philosophy for Research Data Management
• Planning
• Documentation
• Protection of All Kinds
• Imperfect RDM Systems
• 1.3 Essential RDM Issues
• 1.4 Influences of the Resource Profile
• Research Workplace
• Personnel
• Finances
• Timeframe
• Technology Environment
• 1.5 The Real World 11

• 2.1 Overview of RDM Process Design
• RDM Process Alternatives
• Time Requirements
• Cost Estimation
• An RDM Process Plan
• The Overall RDM System Plan
• 2.2 Tips for RDM Planning
• Documentation
• Data Acquisition and Verification
• Data Inventory
• Data Validation and Cleaning
• Data Manipulation and Analysis
• Reporting
• Process Monitoring
• 2.3 The Planning Payoff

• 3.1 What Standards are Required?
• Documentation Standards
• Naming Conventions
• Programming Standards
• Backup and Archiving
• 3.2 Why Monitor the RDM System?
• Monitoring Information
• Facets of the RDM System
• Team Concerns
• 3.3 Why Is Documentation So Important?
• 3.4 Are the People Ready?
• Training
• Team Building
• Leadership
• 3.5 How to Achieve Improvement?

• 4.1 Basic RDM System Elements
• How to Keep the Team Working Together?
• Why Monitor Continually?
• How is Data Quality Measured?
• 4.2 Updating Documentation
• Process Descriptions
• Data Descriptions
• Program Descriptions
• Research Report Descriptions
• Helpful Naming Conventions
• 4.3 Keeping Data Safe
• Backups
• Archiving
• Disaster Planning
• 4.4 Taking the Long View

• 5.1 Recovery Strategies
• The Do Nothing Approach
• Wait and See
• Fixing Existing Data
• Fixing the Future Only
• 5.2 Inherited Projects
• Look Before You Leap
• Moving a Flawed Project Ahead
• Beware the Perfect Situation
• 5.3 Changing the Data
• The Importance of Identifiers
• Backups as Insurance
• Data Change Monitoring
• 5.4 Moving the Data
• Data Transfer Planning
• Data Transfer Problems
• 5.5 Resource Profile Changes
• Incorporating Additional Resources
• Forging Ahead with Reduced Resources
• Coping with Hidden Losses
• 5.6 Creative Solutions

PART II CASE STUDIES

• 6.1 Intent of the Case Studies
• 6.2 Comparing Case Studies
• Project Abstract
• Leadership
• Personnel
• Finances
• Timeframe
• Computer Environment
• 6.3 Alternative Approaches to Part II

• 7.1 Project Description
• 7.2 RDM Plan Highlights
• The RDM Plan
• Project Costs
• Standard Operating Procedures
• 7.3 Selected RDM Topics
• Initial Subsets
• Data Problems
• Descriptive Statistics for Validation
• Unexpected Work
• 7.4 Effective Tactics
• Internal Research
• Program Names
• A Common Goal

• 8.1 Project Description
• 8.2 RDM Plan Highlights
• The RDM Plan
• Timeline and Effort
• Costs
• 8.3 Selected RDM Topics
• Creating Analysis Files
• Different Report Types
• Documentation
• Permanent LABELs and FORMATs
• 8.4 Effective Tactics
• Large File Extraction
• Interrupted Work
• Preparing for the Future
• Team Communication

• 9.1 Project Description
• Clinical Research Environment
• Project Tasks and Timeframe
• 9.2 RDM Plan Highlights
• Planning Process
• Project Milestones
• Costs Categories
• 9.3 Selected RDM Topics
• Project Documentation
• Process Monitoring
• Record Identifiers
• Data Security and Access
• Anticipating Change
• 9.4 Effective Tactics
• Making Time for Training
• Balancing Manual Effort Against Technology
• Being Prepared for Audits

• 10.1 Project Description
• Collaborative Research
• Timeframe
• 10.2 RDM Plan Highlights
• The Starting Point
• Budget
• RDM Plan Modifications
• 10.3 Selected RDM Topics
• Process and Data Documentation
• Data Acquisition Quality Control
• Standard Operating Procedures
• Communication and Training for Sites
• Data Security
• 10.4 Effective Tactics
• Use of New Technology
• Advantages of RDM Planning
• Government Financed Research Data
• Closing Down the Project 118

PART III CONCLUDING REMARKS

• 11.1 Engineering an RDM System
• 11.2 Working with People
• 11.3 The Ultimate Goal