Ten Simple Rules for Creating a Good Data Management Plan

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

Research papers and data products are key outcomes of the science enterprise. Governmental, nongovernmental, and private foundation sponsors of research are increasingly recognizing the value of research data. As a result, most funders now require that sufficiently detailed data management plans be submitted as part of a research proposal. 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, databases), 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). The article also includes a downloadable image that illustrates the relationship between hypothetical research and data life cycles and highlights the links to the rules presented in this paper.

Authoring Person(s) Name: 
William K. Michener
Authoring Organization(s) Name: 
University of New Mexico
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 4.0 International - CC BY 4.0
Access Cost: 
No fee
Citation - format of the preferred citation for the learning resource: 
Michener WK (2015) Ten Simple Rules for Creating a Good Data Management Plan. PLoS Comput Biol 11(10): e1004525. https://doi.org/10.1371/journal.pcbi.1004525
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data lifecycle
Data management
Data management planning
Data management planning tools
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Life Sciences: Microbiology
Published / Broadcast: 
Thursday, October 22, 2015
ID - identifier that provides the means to locate the learning resource or its citation: 
journal.pcbi.1004525
Type - namespace prefix for the citable locator, if any: 
DOI
Publisher - organization credited with publishing or broadcasting the learning resource: 
PLoS Computational Biology
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Text - an explanation of a concept or a story using human readable characters formed into words, usually distinguished from graphical images.
Contact Person(s): 
William K. Michener
Contact Organization(s): 
University of New Mexico
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Text - body of a printed work, to include reading passages.
Target Audience - intended audience for which the learning resource was created: 
Data manager
Data professional
Early-career research scientist
Graduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
Up to 1 hour