PDFR114 | We recommend that those applying for funding from US Federal agencies, such as the NSF, use the DMPTool. The DMPTool provides guidance for many of the NSF Directorate and Division requirements, along with links to additional resources, services, and help |

Contents
1. Data management general guidance
2. Introduction
-- What is a data management plan?
-- Who requires a plan?
-- We can help
2. Types of Data
3. File Formats
4. Organizing Files
5. Metadata: Data Documentation
6. Persistent Identifiers
7. Security and Storage
8. Sharing and Archiving
9. Citing Data
10. Copyright and Privacy
11. Commercial Reviews

SA - https://www.librarything.com/work/31798445/book/259208989 | https://www.librarything.com/work/31507626/book/255801976
RT - Reproducible
BT - Data Use
NT - Curation
UF - Data Management
SN - A brief explanation of what is expected under federal guidance for a funded scientific study. (This entry does not reference a hierarchical list)

PDFR89 | What is a data management plan? A data management plan is a formal document that outlines what you will do with your data during and after a research project. Most researchers collect data with some form of plan in mind, but it's often inadequately documented and incompletely thought out. Many data management issues can be handled easily or avoided entirely by planning. With the right process and framework, it doesn't take too long and can pay off enormously in the long run |

Contents
1. Introduction pg. 3
-- What is a Data Management Plan?
-- Who Requires a Plan? https://obamawhitehouse.archives.gov/blog/2013/02/22/expanding-public-access-res...
-- We Can Help?
2. Types of Data pg. 4
-- Observational
-- Experimental
-- Simulation
-- Derived/Compiled
3. What's the Form of the Data?
-- Text:
-- Numeric
-- Audiovisual
-- Models, Computer Code
-- Discipline-Specific
-- Instrument-Specific
4. How Stabel is the Data? pg. 5
-- Fixed Datasets
-- Growing Datasets
-- Revisable Datasets
5. How Much Data Will the Project Produce? pg. 5
6. File Formats pg. 5
-- Formats likely to be accessible in the future are:
-- Examples of preferred Format Choices
-- Tabular Data
-- Other Risks to Accessibility
7. Organizing Files pg. 7
-- Basic Directory and File Naming Conventions
-- File Renaming
8. Metadata: Data Documentation pg. 7
-- Why Document Data?
-- What to Document?
-- Research Project Documentation
-- Dataset Documentation
-- How will you document your data?
-- Title, Creator, Identifier, Data, Method, Processing, Source, Funder, Subject, Place Language, Variable List, Code List, File Inventory, File Formats, File Structure, Version, Checsum, Necessary Software,
-- Access Rights, Access Information
9. Persisstent Identifiers pg. 9
-- http://n2t.net/e/ark_ids.html
-- http://www.doi.org/
-- http://www.handle.net/
-- https://iupac.org/who-we-are/divisions/division-details/inchi/
-- https://en.wikipedia.org/wiki/LSID
-- https://www.ncbi.nlm.nih.gov/Sequin/acc.html
-- https://archive.org/services/purl/
10. Security and Storage pg. 12
-- Data Security
-- Encryption and Compression
-- Backups and Storage https://www.ukdataservice.ac.uk/manage-data/store
-- Other Data Preservation Considerations
11. Sharing and Archiving pg. 12
-- Why Share Your Data?
-- Considerations When Preparing to Share Data
-- Ways to Share Your Data
-- Finding a Data Repository: https://dash.ucop.edu/stash | https://www.re3data.org/ | http://oad.simmons.edu/oadwiki/Data_repositories | https://fairsharing.org/
12. Citing Data pg. 13
-- Citation Elements: https://www.force11.org/datacitationprinciples | https://schema.datacite.org/ | http://www.loc.gov/catdir/cpso/roman.html | http://www.loc.gov/catdir/cpso/roman.html
13. Copyright and Privacy pg. 15
-- Sharing Data That You Produced/collected Yourself: https://creativecommons.org/choose/zero/ (this may not be a solution based on the nature of the material) https://www.icpsr.umich.edu/files/ICPSR/access/dataprep.pdf
-- Confidentiality and Ethical Concerns
-- Obtain a Confidentiality Review: https://www.icpsr.umich.edu/icpsrweb/content/deposit/guide/chapter5.html
-- Comply with UC Regulations: http://policy.ucop.edu/doc/2500499/ProtectnHumanSubj
-- Comply with Regulations for Health Research: https://www.hhs.gov/hipaa/for-professionals/special-topics/research/index.html
-- Gain Informed Consent
-- Anonymize
-- Restrict the Use of Your Data: https://www.icpsr.umich.edu/files/DSDR/04701-User_agreement.pdf | https://www.icpsr.umich.edu/icpsrweb/content/ICPSR/access/restricted/index.html |

DMPTool is a service of the University of California Curation Center (new window)Opens in a new window of the California Digital Library.

SA - https://github.com/cdluc3/dmptool | https://cdlib.org/services/uc3/ | http://www.cdlib.org/
RT - Planning
BT - Guidance
NT - Outline
UF - Solicitation
SN - An explanation of the DMPTool. (This entry does not reference a hierarchical list)