Research Data Overview

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Research Data Management - By Leena Shah Prepared for NTU Librarians Professional Development Session 7 th May 2014

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PD Session : Research Data

Transcript of Research Data Overview

Page 1: Research Data Overview

Research Data Management

- By Leena Shah

Prepared for NTU Librarians Professional Development Session 7th May 2014

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RDAP14 – San Diego, California

Research Data Access and

Preservation Summit March 2014

Resources: http://www.slideshare.net/asist_org/tag/rdap14

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Research data

What is research

Data?

Observational

Experimental

simulation

Derived /compiled

Captured real –time eg. Survey data, sensor data

From lab experiments eg. Gene sequences

From test models eg. Climate models

Eg. Data mining

http://libraries.mit.edu/guides/subjects/data-management/what.html accessed 6th May 2014

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Why should I care?

• Huge amount of data due to higher computing

power

• How would you manage /store research data once

the grant runs out?

• Data is fragile and easy to lose

• Storage media is fragile

• Can be hard to find

• Software used to generate/access data may

become defunct in future

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Research Data Management

• Process for collecting, organizing, archiving and

accessing data created during the research

process

Create Data

Process Data

Analyse data

Preserve data

Give access to data

Re-use data

Lib Guides University of Oklahoma http://guides.ou.edu/content.php?pid=418274&sid=3421420 accessed 6th May 2014

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Data Management Plan

Lib Guides University of Oklahoma http://guides.ou.edu/content.php?pid=418274&sid=3421420 accessed 6th May 2014

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What’s the hype? • Open access for publication –what about research data?

• Journal requirement (to enable replication of research)

• Funder requirement e.g. Funding agencies like NSF, NIH, NOAA, DOE, NASA

Funding agencies

Researcher

Proposal along with Data management plan (DMP)

$$$$$

DMP

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Collecting research data • University wide mandate at NTU?

• Requirement from funding agency in Singapore?

“Given this environment, the Data Management Services Group at CMU has chosen to build a research data management service infrastructure first and ask for a university policy on data management later.” - Cornell university poster presentation by Steven Van Tuyl at rdap14

• Setting up a Data management Services Group

• Information gathering : Faculty survey, in-depth data interviews

• Web – presence to define level and type of service

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Questions – not 1 nor 2 ..

1. Don’t know when and where researchers publish

2. Researchers want credit for their data but don’t want to release their data

3. Who own’s the data: university or the researcher because he got the grant or funding agency

4. What data events should researcher notify library about?

5. Data citation standards?

6. Rights issues

7. What requirements are imposed by other institutions/funders?

8. Which data should be retained? Data from failed experiments?

9. Who decides which data to keep?

10. How long should data be maintained?

11. How should digital data be preserved?

12. How will data be accessed? 13. How open should data be? 14. How will costs be managed? Who pays?

15. Wide variety of data formats

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Rdap14 Bits • SHARE notification service to notify universities of

research release events – [Shared access Research Ecosystem]

• NECDMC – Course modules for students/researchers [New England collaborative Data Management Curriculum]

• EarthCube – collaborative data sharing for geosciences

• Terrapop – Integrated data on population and environment

• DRYAD – digital repository accepts any data as long as it is associated with a publication

• CIESIN - Center for International Earth Science Information Network providing interactive data access and mapping tools via the Internet

• SEAD - Sustainable Environment through Actionable Data (SEAD) sharing data for sustainability science

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Resources and Data Education sites

Book

• Facilitating Access to the Web of Data: A Guide for

Librarians by David Stuart

Data Education Sites:

MANTRA

NECDMC

RDMRose

UK Data Archive

DataOne

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A data sharing nightmare ..

A scenario that could be quite common unless..

http://youtu.be/N2zK3sAtr-4