building your data management toolbox
TRANSCRIPT
Building Your Data Mgmt Toolbox
Ann Lally, Digital InitiativesStephanie Wright, Data Services
UW Libraries
Rule 1. Love your data, and help others love it too.
• Document & publish your data• Encourage others to do so too.
– Your colleagues– Your collaborators– Your students– Authors of papers you review
Rule 2. Share your data online, with a permanent identifier.
• DOIs & ARKs• Handl & CrossRef
EZID http://guides.lib.washington.edu/dmgResearchWorks Archive http://researchworks.lib.washington.edu/rw-archive.html
Rule 3. Conduct science with a particular level of reuse in mind.
• Consider level of reuse– Accessible, Verifiable, Reproducible
• Adopt standards– Formats– MetadataDCC Disciplinary Metadata http://www.dcc.ac.uk/resources/metadata-standards
Rule 4. Publish workflow as context.• Sketch of data flow across software• Track queries and operations on existing data
Taverna http://www.taverna.org.uk/Kepler https://kepler-project.org/VisTrails http://www.vistrails.org/
Rule 5. Link your data to your publications as often as possible.
• Share early, even before publication• Embed links to your data (and code) with
persistent identifiersORCID http://orcid.org/EZID
Rule 6. Publish your code (even the small bits).
• Even if buggyRunMyCode http://www.runmycode.org/GitHub https://github.com/
Rule 7. Say how you want to get credit.
• Simply state expectations for acknowledgement
• LicensesCreative Commons http://creativecommons.org/Open Data Commons http://opendatacommons.org/
Rule 8. Foster and use data repositories.
• Institutional, Journal, Domain, GeneralResearchWorks Archive http://researchworks.lib.washington.edu/rw-archive.htmlDatabib http://databib.org/re3data http://www.re3data.org/Figshare http://figshare.com/
Rule 9. Reward colleagues who share their data properly.
• Provide feedback on their data sets• Encourage those following best practices• Give credit to those whose data you use
Data Management Guide http://guides.lib.washington.edu/dmg
Rule 10: Be a booster for data science.
• Become informed about data mgmt best practices– Encourage your students to do so– UW Libraries workshops on data mgmtData blog http://data.blogspot.com/Data Management Guide
Rule 11: Practice Data Management, Not Data Forensics
• Develop a data management plan at the beginning of your research projectData Management Guide DMPTool https://dmp.cdlib.org/
www.authorea.com/users/3/articles/3410/(Accessed Jan 15, 2013)
ResearchWorks http://researchworks.lib.washington.edu/
10 Simple Rules for the Care and Feeding of Scientific Data (Goodman et al)