Building Your Data Management Toolbox
Download as PPTX, PDF1 like184 views
This document outlines essential rules for effective data management in research, emphasizing the importance of loving and sharing data, using permanent identifiers, and ensuring data is accessible and reproducible. Researchers are encouraged to document workflows, link data to publications, publish their code, and credit contributors appropriately. Additionally, it advocates for the use of data repositories and rewarding peers who share data responsibly.
Building Your Data Management Toolbox
- 1. Building Your Data Mgmt Toolbox Ann Lally, Digital Initiatives Stephanie Wright, Data Services UW Libraries
- 2. 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
- 3. Rule 2. Share your data online, with a permanent identifier. • DOIs & ARKs • Handl & CrossRef EZID http://guides.lib.washington.edu/dmg ResearchWorks Archive http://researchworks.lib.washington.edu/rw- archive.html
- 4. Rule 3. Conduct science with a particular level of reuse in mind. • Consider level of reuse – Accessible, Verifiable, Reproducible • Adopt standards – Formats – Metadata DCC Disciplinary Metadata http://www.dcc.ac.uk/resources/metadata- standards
- 5. 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/
- 6. 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 identifiers ORCID http://orcid.org/ EZID
- 7. Rule 6. Publish your code (even the small bits). • Even if buggy RunMyCode http://www.runmycode.org/ GitHub https://github.com/
- 8. Rule 7. Say how you want to get credit. • Simply state expectations for acknowledgement • Licenses Creative Commons http://creativecommons.org/ Open Data Commons http://opendatacommons.org/
- 9. Rule 8. Foster and use data repositories. • Institutional, Journal, Domain, General ResearchWorks Archive http://researchworks.lib.washington.edu/rw- archive.html Databib http://databib.org/ re3data http://www.re3data.org/ Figshare http://figshare.com/
- 10. 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
- 11. 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 mgmt Data blog http://data.blogspot.com/ Data Management Guide
- 12. Rule 11: Practice Data Management, Not Data Forensics • Develop a data management plan at the beginning of your research project Data Management Guide DMPTool https://dmp.cdlib.org/
- 13. 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)
Editor's Notes
- #13: This rule is Steph’s… it’s not in the article.