"A data management plan (DMP) is a document that describes how you will treat your data during a project and what happens with the data after the project ends. Such plans typically cover all or portions of the data life cycle—from data discovery, collection, and organization (e.g., spreadsheets, data-bases), through quality assurance/quality control, documentation (e.g., data types, laboratory methods) and use of the data, to data preservation and sharing with others (e.g., data policies and dissemination approaches)" (Michener, 2015, p.1).
Michener, W.K. (2015). Ten simple rules for creating a good data management plan. PLOS Computational Biology, 11(10), 1-9. https://doi.org/10.1371/journal.pcbi.1004525
Ten Simple Rules for Creating a Good Data Management Plan
These ten rules can help guide the process of creating an effective plan for managing research data. Michener (2015) provides a workflow and examples of implementing these rules.
Article citation: Michener, W.K. (2015). Ten simple rules for creating a good data management plan. PLOS Computational Biology, 11(10), 1-9. https://doi.org/10.1371/journal.pcbi.1004525
Protocols
Protocols are a document that describes how a clinical trial or research project is conducted; this tool is essential for ensuring the validity and reproducibility of research results.
