About:

Crystal Lewis is a freelance consultant and trainer with over 10 years of experience as a data manager in the field of education research. She is the author of the book 'Data Management in Large-Scale Education Research', which provides a holistic overview of managing research data throughout a project life cycle. She helps researchers in education implement data management practices to focus more on using data for positive changes and less on data wrangling.

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The text discusses the importance of data management practices in large-scale education research projects. It emphasizes the need to prioritize core practices early on, such as creating a data management plan, choosing storage loc...
Crystal Lewis reflects on her year as a freelance research data management consultant, highlighting her impactful data management projects, LLC formation, book publication, community group co-organization, workshop instruction, sp...
The text provides tips for data entry in Excel, highlighting the benefits of using a database management system over a spreadsheet. It discusses the importance of data validation, security, and relational databases. It also compar...
The text discusses the importance of effectively delegating tasks in large-scale projects, particularly in the context of data management. It provides tips for delegating tasks, such as starting with the bare necessities, assignin...
The text discusses the various ways to combine data, including horizontal and vertical joins. It reviews the different types of horizontal joins, such as left join, right join, full join, and inner join. It also explains the rules...
The text discusses the importance of hiring a data manager to ensure the integrity and security of data throughout the life cycle of a research project. It highlights the skills, experience, and budgeting considerations for hiring...
The author discusses the importance of assigning unique participant identifiers in research studies and explores different methods for doing so. They share their insights on the benefits and limitations of four different methods a...
The text discusses the process of cleaning sample data in a standardized way for a longitudinal randomized controlled trial study in the field of education research. It covers creating a sample dataset, preparing for data cleaning...
The text discusses the importance of data cleaning in education research and provides a detailed guide on creating a data cleaning workflow. It emphasizes the need for standardization, reproducibility, and reliability in the data ...