Research Data Service at the IT Pro Forum HEIDI IMKER, DIRECTOR.

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Research Data Service at the IT Pro Forum HEIDI IMKER, DIRECTOR

Transcript of Research Data Service at the IT Pro Forum HEIDI IMKER, DIRECTOR.

Page 1: Research Data Service at the IT Pro Forum HEIDI IMKER, DIRECTOR.

Research Data Serviceat the IT Pro ForumHEIDI IMKER, DIRECTOR

Page 2: Research Data Service at the IT Pro Forum HEIDI IMKER, DIRECTOR.

RDS Program and Partnerships

Provide the Illinois research community with the

expertise, tools, and infrastructure

necessary to manage and steward research data.

Research Data

Service

University Library

Super-computing

Center

Grad School of Lib and Info Sci

Provost

Vice Chancellor

for Research

Campus IT

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2011 2012 2013 2014

Yr of Data StewardshipRDS in Campus Strategic Plan

RDS ProposalARL eScience Institute

RDS Hiring Initiated

RDS Timeline

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RDS Timeline

2011 2012 2013 2014

Yr of Data Stewardship

eResearch Task Force

RDS in Campus Strategic PlanRDS Proposal

Data Services ProgrameResearch Implementation Committee

Data Management Outreach

RDS Hiring Initiated

ARL eScience Institute

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National Data Policy OSTP: INCREASING ACCESS TO THE RESULTS OF FEDERALLY FUNDED SCIENTIFIC RESEARCH

Key points:• free public access to research data

• data management planning

• citation of datasets

• private sector collaborations

• education and workforce development

• assessment of data preservation needs

• development of sustainable solutions

“requiring researchers to better account for and manage the digital data resulting from federally funded scientific research”

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Immediate Goals for the RDS

Outreach

• Improving local data stewardship has the most universal impact

Infrastructure

• Data Deposit for Public Access (Repository)

• Rentable Active Data Storage

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Expertise: Data Librarians

Current

• Scholarly Commons

o Data Services (partnership with ATLAS)

o Digital Humanities

o Statistical Software

Future

• Hiring – (2) Data Curation Specialists!

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Expertise: Data Workshops• Intro to Data Management and (Data) Publication

• Improving Your Data Organization and Security Strategies

• Using Data Ethically

• How to Find and Learn About Appropriate Statistical Methodologies in Your Field

• Metadata for Research Data: How to Understand Your Data and Find It Later

• Basics of Research Data Publication and Sharing

http://researchdataservice.illinois.edu/workshops/

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Tools: Data Mgmt. Planning

• Data Management Plans (DMPs)• What data produced, how will you make it accessible,

how will you preserve it, what restrictions are there on access

• NSF - 2011

• NIH - 2003 (>$500K)

• DOE - 2014

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• online wizard for creating a ready-to-use DMPs

• help text, links to resources, and Illinois-specific suggestions

• login with Illinois NetID and password to automatically create an account

• create, save, and edit plans

https://dmptool.org/

Tools: Data Mgmt. Planning

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Tools: Minting DataCite DOIs

Digital Object Identifier (DOI)

A string that specifies a unique object within the DOI system. doi:10.13012/J83X84KP http://dx.doi.org/10.13012/J83X84KP

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• makes research data more discoverable and accessible

• enables reuse and verification

• allows the impact of data to be tracked (via citations)

• enables the ability to recognize and reward data producers

Tools: Minting DataCite DOIs

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Tools: Minting DataCite DOIs

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Tools: Workflows

• Directory Structures• Workflow Diagraming• Box • GitHub• etc.

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Infrastructure: Data Deposit

IDEALS Institutional repository• Can accommodate files <2GB, static, flat• Intended long-term preservation• https://www.ideals.illinois.edu/

Illinois Data Bank (in planning)• Broader deposit capability • Medium term commitment to near-line access• Build out preservation capabilities based on

collection appraisal • Hiring! Research Programmer

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Infrastructure: Active Storage

• In partnership with NCSA• Target price of $99/TB-year• Minimum 1 TB-month increments• Accessible via:• network file share• file transfer services (ftp, etc.)

• Anticipated access to ICCP • Anticipated DR option

Input : preferred access mechanisms, value add options, user support cases, other

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Needs• databases

• collaborative spaces

• software programs

• scripting

• organization and maintenance

• secure storage

• Larger datasets (“big data”)

• More elaborate compute algorithms

• More robust visualization and analysis techniques

• Broader, larger, deeper collaborations