Lisa FedererHealth and Life Sciences Librarianlmfederer@library.ucla.edu

Data 101: An Introduction to Research Data Management

Today’s Session

•General overview of research data management best practices

•Data management across the research data life cycle

•UC resources for data management•Your questions

Why Data Management?

•funders often require it•makes for easier transitions with lab staff

turnover•helps better document research output•ensures usefulness of data over its entire

life cycle•facilitates data sharing

The Research Data Life Cycle

Plan

Collect

ManageShare

Preserve

The Data Management PlanPlan

NSF guidance: http://www.nsf.gov/bfa/dias/policy/dmpfaqs.jspNIH guidance: http://grants.nih.gov/grants/policy/data_sharing/data_sharing_faqs.htm

The Data Management Plan: Common Misconceptions

Plan

•Does not require that all data must be shared▫Sensitive information/patient privacy▫Intellectual property rights and commercial

value•Sharing can take many forms•Funders recognize that different

disciplines have different “cultures” of data sharing

•Sharing “at no more than incremental cost and within a reasonable time”1

1. National Science Foundation, Dissemination and Sharing of Research Results, www.nsf.gov/bfa/dias/policy/dmp.jsp

•Your library!•DMP Tool: http://dmp.cdlib.org

•DMP Online: http://www.dcc.ac.uk/dmponline

The Data Management Plan: Resources for Help

Plan

Collect Best Practices for Data Collection

•Use non-proprietary file formats▫Plain text/RTF vs. Microsoft .doc/.docx▫PDF/PNG vs. BMP/TIF

•Consider future preservation and context, not just what is needed right now

•Collect good metadata

Additional info on open formats: http://www.openformats.org

Collect Metadata: Data About Data

•Types of metadata▫Descriptive metadata▫Technical metadata▫Administrative metadata▫Use metadata▫Preservation metadata

•Many fields have existing metadata standards▫MIAME: microarray experiments▫Darwin Core: biology and biodiversityAdditional info: http://www.dcc.ac.uk/resources/briefing-papers/standards-watch-papers/what-are-metadata-standards

Example of metadata standards: http://sdl.syr.edu/?page_id=32

Manage

Improving Excel Data with

Check for best practices

Manage

Improving Excel Data with

Create metadata

Manage

Improving Excel Data with

Get a unique identifier and citation

Manage

Improving Excel Data with

•Two ways to use DataUp▫DataUp Excel add-in (Windows Excel

2007+ only) https://bitbucket.org/dataup/main/downloads/DataUpAddIn.zip

▫DataUp web application http://www.dataup.org/

Manage

Share Best Practices for Data Sharing

•Different communities of practice have different cultures of sharing▫Institutional/subject repositories▫Person-to-person sharing of data▫Publication in data journals

•Data sharing is associated with increased citations1

1. Piwowar HA, Day RS, Fridsma DB (2007) Sharing Detailed Research Data Is Associated with Increased Citation Rate. PLoS ONE 2(3): e308. doi:10.1371/journal.pone.0000308

Share UC Tools for Sharing

creates unique identifiers

http://www.cdlib.org/services/uc3/ezid/

cost-effective repository for sharing and storage

http://www.cdlib.org/services/uc3/merritt/

Share Selecting Licenses for Re-Use

Attribution (CC BY)This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation.

Attribution-NonCommercial (CC BY-NC )This license lets others remix, tweak, and build upon your work non-commercially, although their new works must also acknowledge you and be non-commercial.

Attribution-ShareAlike (CC BY-SA)This license lets others remix, tweak, and build upon your work even for commercial purposes, as long as they credit you and license their new creations under the identical terms. Attribution-NoDerivs (CC BY-ND)This license allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to you.

For more info see http://creativecommons.org/licenses/

Share Planning for Long Term Preservation

•Especially important for unique and non-replicable datasets

•Use institutional and subject specialized repositories to preserve data for the long-term

•LOCKSS: Lots of Copies Keep Stuff Safe•Talk to the library about your data

Preserve

Share Locating Repositories

•Institutional repositories at the UC▫Merritt https://merritt.cdlib.org/

▫eScholarship http://www.escholarship.org/uc/ucla

•Finding subject specific repositories▫Databib

http://databib.org/

▫Datacite repository listhttp://datacite.org/repolist

▫Open Access Directory Data Repositorieshttp://oad.simmons.edu/oadwiki/Data_repositories

Preserve

Getting Additional Help•UCLA Library Data Management Guide

http://guides.library.ucla.edu/data-management

•University of California Curation Center (UC3)http://www.cdlib.org/services/uc3/

•Contact a librarian▫Data help: data@library.ucla.edu

▫Copyright/licensing: http://www.library.ucla.edu/copyright-publishing-contact-us

▫Biomedical Library help: biomed-ref@library.ucla.edu

▫Science and Engineering Library help: sel-ref@library.ucla.edu

Lisa FedererHealth and Life Sciences Librarianlmfederer@library.ucla.edu

Questions?