This document provides tips and recommendations for data stewardship. It encourages enabling data sharing, exploring new tools, and working with libraries and researchers to help change systems. It emphasizes that data is more important than ever due to digital data and complex workflows. Proper data management helps ensure reproducibility, credibility, collaboration and faster progress. Researchers must have data management plans and make their data open and useful to others. They should include data in their credentials and publications to get proper recognition. The document recommends tools and resources for planning, documenting, and getting credit for data work.
Data Management for Mountain Observatories Workshop
1. Data Stewardship
California Digital Library
carlystrasser@gmail.com
Mountain Observatories
July 2014
Tips, Tools, & Why You
Should Care
Carly Strasser | @carlystrasser
22. … “Federal agencies investing in research and
development (more than $100 million in annual
expenditures) must have clear and coordinated
policies for increasing public access to
research products.”
Feb
2013
26. A document that
describes what you will
do with your data
throughout
the research project
From Flickr by Barbies Land
What is a data
management plan?
27. Basic DMPs
From Flickr by Artful
Magpie
1. Types of data
2. Data & metadata standards
3. Policies
4. Plans for preservation
5. Budget
33. make
data
as
useful
as
possible
From Flickr by Hallvard E
Make your data as useful as possible
34. “I want to be co-author”
“Let me know what you will do with it first”
custom data use
agreements
is best
are bad
Standard, machine-readable
licenses/waivers
is okay
38. Include data in your CV.
Publish your data.
Cite data.
Example:
Sidlauskas, B. 2007. Data from: Testing for unequal rates of morphological
diversification in the absence of a detailed phylogeny: a case study from
characiform fishes. Dryad Digital Repository. doi:10.5061/dryad.20