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Columbia Research Data Symposium Supporting the Research Data Life Cycle Joan Starr @joan_starr University of California Curation Center California Digital Library

Supporting the Research Data Life Cycle

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Presentation by Joan Starr at Columbia University Research Data Symposium, Feb. 27, 2013

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Page 1: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

Supporting the Research Data Life Cycle

Joan Starr@joan_starr

University of California Curation CenterCalifornia Digital Library

Page 2: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

Partnership between CDL | 10 UC campuses | Peer institutions

Provide solutions, services, resources for digital assets

Pool & distribute diverse experience, expertise, & resources

Page 3: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

A life cycle approach

Create, edit, share, and save data management plans

Curation repository: store, manage, and share research data

Open source add-in & Web app for Microsoft Excel as a data collection tool

Create and manage long-term identifiers

collect

Open Access publishing services / dynamic research platform

Collect, manage, preserve and publish websites and documents

plan

manage

share

Page 4: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

A life cycle approach

Create, edit, share, and save data management plans

Curation repository: store, manage, and share research data

Open source add-in & Web app for Microsoft Excel as a data collection tool

Create and manage long-term identifiers

plan

Open Access publishing services / dynamic research platform

Collect, manage, preserve and publish websites and documents

Page 5: Supporting the Research Data Life Cycle

Data Curation for Practitioners Workshop

DMPTool

• Connect researchers to resources to create a data management plan

• NSF and directorates, NIH, NEH, IMLS, foundations plus

• Customizable

Meeting funding agencies data management plan requirements

Primary Functions1. Step-by-step “wizard”

2. Templates and examples

3. Links to institutional resources and agency information

4. Plan publication and sharing

Page 6: Supporting the Research Data Life Cycle

Data Curation for Practitioners Workshop

Usage

Oct-11 Dec-11 Feb-12 Apr-12 Jun-12 Aug-120

500

1000

1500

2000

2500

3000

3500

0

100

200

300

400

500

600

Unique Users

Plans

Institutions

Num

ber o

f Pla

ns (s

olid

) & U

niqu

e Us

ers (

dash

ed)

Num

ber o

f Ins

tituti

ons

DMP Tool: https://dmp.cdlib.org/

Page 7: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

• Precise identification of a dataset (DOI or ARK)

• Credit to data producers and data publishers

• A link from the traditional literature to the data

• Exposure and research metrics for datasets(Web of Knowledge, Google)

Primary Functions1. Create long term identifiers

2. Manage identifiers (and associated metadata) over time

3. Resolve identifiers

EZIDLong term identifiers made easy

@ezidCDL

Page 8: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

EZID in actionEZID: http://n2t.net/ezid

Page 9: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

EZID: http://n2t.net/ezid

EZID in action

Page 10: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

A life cycle approach

Create, edit, share, and save data management plans

Curation repository: store, manage, and share research data

Open source add-in & Web app for Microsoft Excel as a data collection tool

Create and manage long-term identifiers

collect

Open Access publishing services / dynamic research platform

Collect, manage, preserve and publish websites and documents

Page 11: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

Primary Functions1. An Excel 1) add-in & 2) cloud

application2. Document data

3. Check for good data practices

3. Obtain identifier and citation

4. Archive and share

DataUpCollect, share, archive, publish data

@DataUpCDL

Page 12: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

Undergrad Masters grad stud

PhD grad stud

postdoc Masters sci

PhD sci0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Researchers: How Frequently Do You Use Excel?

54321

Every day

Rarely

55 Respondents

Carly Strasser, CDL

DataUp: http://dataup.cdlib.org/

Page 13: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

• ARCHIVE institution websites• BUILD collections for research• CAPTURE political and social events• SAVE at-risk government websites

Primary Functions

1. Capture

2. Manage

3. Preserve

4. Publish

Web Archiving Service (WAS)

Page 14: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

54 public archives

120+ archives total

7,500+ sites

50+ TB

23 institutions

WAS Snapshot

WAS: http://webarchives.cdlib.org/

Page 15: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

A life cycle approach

plan

collect

manage

share

Page 16: Supporting the Research Data Life Cycle

Columbia Research Data Symposium

For more information

UC3 Data Management Planning Resourceshttp://www.cdlib.org/services/uc3/dmp/index.html

Twitter: @ezidCDL and @DataUpCDLEmail: [email protected]; [email protected]

How to find me:Twitter: @joan_starrEmail: [email protected]