Why managedata

Where’s Your Data?What's so important about

managing data?

Sherry LakeUniversity of Virginia LibraryCurry Research Conference February 1, 2013

Why are you here?

• You’re managing data (your own or your lab’s)

• Or you think maybe your should be– Who has told you to?

• Or you think you will have to in the future• You’re not sure why it matters• You’re curious and want to know how

managing data affects you

Discussion

• Stories about poor data management• In groups, assess & report out (2 minutes

max)– What bad data-related practices are talked

about?– What problems did the bad practice(s) cause?– What happened to the researcher because of

poor practice?– How could this have been prevented?

Why Manage Research Data?

• Saves Time– Simplifies your research & increases your

research efficiency

• Makes preserving data for the long term easier– Takes less time to get data ready to share

• Supports Sharing– Can focus on research not user requests– Lets others understand your data– Increases Research Impact

• Meets grant requirements 4

Who Cares?

www.rba.gov.au

From Flickr by Redden-McAllister

From Flickr by AJC1

Why Share Data?

• Required by funding agencies

• Reinforces open scientific inquiry

• Increases the visibility of your research & your own research reputation

• Facilitates new discoveries

• Reduces costs by avoiding duplication

• Makes it easier to re-use and verify data sets

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Who is Requiring Data Sharing?

• Publishers– Nature Publishing Group– American Naturalist– Evolution– Journal of Evolutionary Biology– ESA journals

• Funding agencies– National Institute of Health (NIH)– NIH Public Access Mandate (for publications)– National Science Foundation (NSF)– Institute of Museum and Library Services (IMLS) 7

Dissemination & Sharing of Research Results:

“Investigators are expected to share with other researchers, at no more than incremental cost and within a reasonable time, the primary data, samples, physical collections and other supporting materials created or gathered in the course of work under NSF grants. Grantees are expected to encourage and facilitate such sharing.”

NSF: Award & Administration Guide (AAG) Chapter VI.D.4

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Plans for Data Management & Sharing of the Products of Research

• Proposals must include a supplementary document of no more than two pages labeled: “Data Management Plan”

• Document should describe how the proposal will conform to NSF sharing policy

NSF: Grant Proposal Guide (GPG) Chapter II.C.2.j

What is a Data Management Plan?

• Brief description of how you will comply with funder’s data sharing policy

• Reviewed as part of a grant application

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• How do I create one?• What is included?

DMPTool

•Online Data Management Plan creation tool•Helps researchers meet requirements of NSF and other U.S. funding agencies

•Guides researchers through the process of creating a data management plan

•Is available to everyone•Provides additional help for researchers at UVa

https://dmptool.org/

Parts of a NSF Data Management PlanI. Products of the Research: The types of data, samples,

physical collections, software, curriculum materials, and other materials to be produced in the course of the project.

II. Data Formats: The standards to be used for data and metadata format and content (where existing standards are absent or deemed inadequate, this should be documented along with any proposed solutions or remedies).

III. Access to Data and Data Sharing Practices and Policies: Policies for access and sharing including provisions for appropriate protection of privacy, confidentiality, security, intellectual property, or other rights or requirements.

IV. Policies for Re-Use, Re-Distribution, and Production of Derivatives.

V. Archiving of Data: Plans for archiving data, samples, and other research products, and for preservation of access to them.

23Grant Proposal Guide (GPG) Chapter II.C.2.j

What is a Data Management Plan?A comprehensive plan of how you will manage your research data throughout the lifecycle of your research project

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1. Project description 2. Survey of existing data 3. Data to be created

a. Data organization methods (optional)

4. Data sharing and archiving

5. Data administration issues:a. Funding and legislative

requirements b.Data owners and

stakeholders c. Access and security d.Backups

6. Responsibilities7. Data documentation and

metadata8. Budget

Where to Get More Help

Scientific Data Consulting Group

University of Virginia Library

[email protected]

http://www.lib.virginia.edu/brown/data/DMP_Support.htmlhttp://pages.shanti.virginia.edu/SciDaC_Grad_Training/https://dmptool.org

Links to Discussion Stories

• http://arstechnica.com/science/2012/03/99-percent-of-nasas-portable-devices-are-unencrypted/

• http://www.nature.com/news/psychology-must-learn-a-lesson-from-fraud-case-1.9513

• http://www.bizjournals.com/atlanta/news/2012/04/18/data-loss-at-emory-healthcare-exposes.html?s=print

• http://gawker.com/5625139/grad-students-thesis-dreams-on-stolen-laptop

• http://blog.dansimons.com/2012/09/the-fog-of-data-secrecy-and-science.html

• http://www.eurekalert.org/pub_releases/2012-09/uol-idm091812.php

• http://retractionwatch.wordpress.com/2012/08/16/hypertension-retracts-paper-over-data-glitch/