New Roles for Librarians: the Application of Library Science to Scientific/Technical Research -- Pur...
Download
1 / 38

New Roles for Librarians: the Application of Library Science to Scientific/Technical Research -- Purdue University - a Case Study - PowerPoint PPT Presentation

New Roles for Librarians: the Application of Library Science to Scientific/Technical Research -- Purdue University - a Case Study International Council for Science and Technology – ICSTI Ottawa, Ontario, Canada James L. Mullins, PhD Dean of Libraries & Professor Purdue University

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha

Download Presentation

New Roles for Librarians: the Application of Library Science to Scientific/Technical Research -- Purdue University - a Case Study

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Slide1 l.jpg
New Roles for Librarians: the Application of Library Science to Scientific/Technical Research -- Purdue University - a Case Study

International Council for Science and Technology –

ICSTI

Ottawa, Ontario,

Canada

James L. Mullins, PhD

Dean of Libraries &

Professor

Purdue University

June 9, 2009


Slide2 l.jpg

e-Science to Scientific/Technical Research -- Purdue University - a Case Study

  • What is meant by e-Science?

  • E-Science is a complex interdisciplinary, data, and computationally-intensive, and often multi-institutional and many times international research process that is changing the methodology of science.

  • Such collaborative scientific enterprise requires access to large data collections, very large scale computing resources and high performance visualization back to the individual user scientists

  • Requires large scale storage, retrieval and transfer


What is data curation l.jpg
What is Data Curation? to Scientific/Technical Research -- Purdue University - a Case Study

  • Archival Science - manage implies short term, archive implies long term preservation with control (dependent)

  • Library Science - organization, description, discovery, navigation and access are critical for identifying, finding, accessing, and using/re-using data


Slide4 l.jpg

Why Care about Data Curation? to Scientific/Technical Research -- Purdue University - a Case Study


Slide5 l.jpg

A Lesson from the Past. to Scientific/Technical Research -- Purdue University - a Case Study


Gregor mendel an example l.jpg
Gregor Mendel – an example to Scientific/Technical Research -- Purdue University - a Case Study

James L. Mullins – Purdue University


Slide7 l.jpg

Innovative Research Concepts to Scientific/Technical Research -- Purdue University - a Case Study

National Science Board.

Long-lived digital data collections:

Enabling research and education in the

21st century.


Slide8 l.jpg

Innovative Research Concepts to Scientific/Technical Research -- Purdue University - a Case Study

  • Data Authors – benefit from their own work, broadly disseminated, safely archived.

  • Data Managers -- collaborates by insuring successful retention and dissemination through technical infrastructure

  • Data Scientists – conduct creative inquiry and analysis, enhance the research of data authors

National Science Board,

Long-lived digital data collections:

Enabling research and education in the

21st century, p. 27.


Slide9 l.jpg

Innovative Research Concepts to Scientific/Technical Research -- Purdue University - a Case Study

Data Scientists:

… crucial to the successful

management of a digital data

collection – lie in having their

contributions fully recognized

National Science Board,

Long-lived digital data collections:

Enabling research and education in the

21st century, p. 27.


Slide10 l.jpg

National Science Foundation Recognition of the Challenge for Data Curation

Dr. Christopher Greer

Former Program Director

Office of Cyberinfrastructure, NSF, USA


Why curate manage research outputs l.jpg
Why curate/manage research outputs? Data Curation

Re-use of data for new research, including collection-based research to generate new science.

Retention of unique observational data which is impossible to re-create.

More data is available for research projects.

Compliance with legal requirements.

Ability to validate research results.

Use of data in teaching.

For the public good.

From: e-Science Curation Report. Data curation for e-Science in the UK: an audit to establish requirements for future curation and provision. Philip Lord and Alison Macdonald. 2003


Slide12 l.jpg

Computational Data Curation

& Information

Sciences

Cyber

Infra-

structure

Computer Science

Lib/Info Sciences

Archival Sciences

Conceptualization

by Chris Greer, NSF – 2007

Domain

Science

I-Center


Slide13 l.jpg

Data Context Data Curation

unpublishedresearchtraditional/non

“published”researchnon-traditional

secondarytertiaryresources

“published”data/datasets

publishedresearchtraditional

analyzeddata/datasets

The changing nature of research and scholarly communication in cyber enabled environments allows for discovery of and access to research of small research groups and unorganized, disparate and heterogeneous data further upstream than previously imagined…

processeddata/datasets

“raw”data/datasets

Modified from: Brandt, D.S. “Scholarly Communication” (in To Stand the Test of Time: Long-Term Stewardship of Digital Data Sets in Science and Engineering.: Final Report of Workshop New Collaborative Relationships: Academic Libraries in the Digital Data Universe. ARL, Washington, DC, September 2006.)


Purdue university l.jpg
Purdue Data Curation University

  • Founded 1869 by gift from John Purdue

  • Premier programs: engineering; agriculture; hospitality and tourism; business; computer science; communications. Alumni include Neil Armstrong & Gene Cernan, first and last men on the moon.

  • 40,105 students 2008/2009, third largest international student enrollment in U.S. – 6,057 for 2008/09. Fall 2009 12% of first year undergraduate class will be international students, 60% graduate school international.


Purdue university15 l.jpg
Purdue Data Curation University

Nine Colleges: Agriculture, Consumer & Family Sciences, Education, Engineering, Liberal Arts, Management, Pharmacy/ Nursing/Health Sciences, Technology, Vet Medicine

73 Departments, several cross-disciplinary: e.g. Agricultural & Biological Engineering


Interdisciplinary collaboration l.jpg

Discovery Data Curation Park

Interdisciplinary collaboration

Discovery Park: Eleven interdisciplinary centers designed to facilitate and promote leading edge research

Bindley Bioscience Center - Birck Nanotechnology Center

Burton D Morgan Center for Entrepreneurship

Center for Advanced Manufacturing

Center for the Environment - Cyber Center

Discovery Learning Center - E-Enterprise Center

Energy Center - Oncological Sciences Center

Regenstrief Center for Healthcare Engineering


Slide17 l.jpg

Purdue’s HUBzero Data Curation

  • HUBzero™ allows creation of dynamic web sites that connect a community in scientific research and educational activities, e.g. nanoHUB (from: http://hubzero.org/)

  • 2009 – Google lists top 200 most trafficked university sites in the world on the web – Purdue ranked 6th.


Slide18 l.jpg

Envisioning New Interdisciplinary Collaborations Data Curation

Associate Dean for Research,

D. Scott Brandt,

Professor of Library Science

Facilitates individual and interdisciplinary research efforts of the fifty Libraries faculty


Slide19 l.jpg

And remember Data Scientists? Data Curation

Data Scientists:

… crucial to the successful

management of a digital data

collection – lie in having their

contributions fully recognized

National Science Board,

Long-lived digital data collections:

Enabling research and education in the

21st century, p. 27.


Slide20 l.jpg

And remember Data Scientists? Data Curation

Jacob (Jake) Carlson, appointed

Data Research Scientist Purdue Libraries

April, 2007


Determine need for collaboration l.jpg
Determine need for collaboration Data Curation

  • Hypothesized that researchers have data management needs and that librarians can help meet them

  • Employed top-down and bottom-up investigation for data collection

  • Verified: PU researchers said they need help in collecting, organizing and providing access to their data


Outside of the library l.jpg
Outside of the library Data Curation

  • Attended research seminars, call-outs, etc., to identify collaboration and funding opportunities

  • Built relationships - found researchers who understood that collecting, organizing and providing access to data and information are not only important, but critical

  • Found problems to solve, then collaborated on solutions

  • Talked about what we know—organizing data and information (different meanings to different groups)

  • Brought something to the table. Had to be prepared to demonstrate something tangible (initially a proof-of-concept or a prototype).


Motivation library participants l.jpg
Motivation (library participants) Data Curation

  • Directly related to work, and makes something difficult easier

  • It’s an extension of “everyday job”

  • Something new and exciting to do

  • Breaking new ground, want to contribute to interdisciplinary initiative

  • Force the issue of how it gets done (i.e., more people added to help out)


Motivation non participants l.jpg
Motivation (non-participants) Data Curation

  • Articulation of what is expected by the Dean

  • Partly determined on a case-by-case basis

  • Has to be “interesting to me”

  • Something that uses “the skills I can bring to it”

  • Need to get credit for it (recognition, reward)

  • Important to allow individual to define what interdisciplinary research is

  • Should be opportunities to "stick your toe in the water" before making big commitment

  • Need time to do it, and to do the “things I want to do”


Purdue university libraries l.jpg
Purdue University Libraries Data Curation

Since 2004, initiative for Libraries faculty to collaborate with other faculty across campus—apply library science knowledge and expertise to research problems:

collect, organize, describe, curate, archive, disseminate data/information


Past current areas of collaboration l.jpg

Discovery Learning Center Data Curation

Earth & Atmospheric Sciences

Economics

English

IT at Purdue

Mechanical Engineering Technology

Regenstrief Center

Graduate School

Oncological Sciences

Agricultural Economics

Agronomy

Biology

Cancer Center

Center for the Environment

Chemical Engineering

Chemistry

Civil Engineering

Cyber Center

Past & Current Areas of Collaboration


Slide27 l.jpg

Distributed Data Curation Center – D2C2 Data Curation

  • Sustainability for data curation repositories

  • Ontological and taxonomic organization of disciplinary datasets

    • Metadata to facilitate access to data

      • collections

    • Data curation profiles for archiving and preserving datasets

    • http://d2c2.lib.purdue.edu/


  • D2c2 sponsored research 2008 l.jpg
    D2C2 Sponsored Research 2008 Data Curation

    Awarded—$618,383 (includes cont’ing)

    INDURE—aggregating dissertation metadata (Indiana Economic Development Corporation), Witt

    Enabling end-to-end geospatial data modeling workflows via INPort: The Isotope Networks Portal (NSF), Miller

    Integrating Spatial Educational Experiences (ISEE) into Crop, Soil, and Environmental Science Curricula (USDA), Miller, M. Bracke

    INTEROP: Developing Community-based DRought Information NetworkProtocols and Tools for Multidisciplinary Regional Scale Applications(DRInet) (NSF) Carlson

    Pending (or in process for submission)

    Nitrogen Science Network (Packard Foundation) M. Bracke, Witt

    lisHUB: Investigating Community-based LIS Continuing Education in a Cyberinfrastructure-enabled Environment (IMLS) P. Bracke, et al

    Object Reuse and Exchange for HUBZero (IMLS) Witt, et al

    AfricaHUB (Bill and Melinda Gates Foundation) Nelson

    Kollêma DataNet Project (NSF) Mullins, Carlson, Brandt


    Slide29 l.jpg

    Grants Data Curation (all Librariessince 2005)

    2007 – 44 2008 – 57


    D2c2 activities l.jpg
    D2C2 Activities Data Curation

    Lab in STEW G64

    D-Space -> Fedora

    Storage Resource Broker -> iRODS

    Sun StorageTek 5800

    Current Research Information Systems (e.g., INDURE) – SRU, Z39.50

    HUB integration (OAI-PMH, Handle, ORE)

    Metadata management and services


    Purdue e data task force l.jpg
    Purdue e-Data Task Force Data Curation

    • Chartered by the Purdue Libraries Research Council

      • apply research from D2C2: what an institutional data repository service in context of Purdue Libraries

      • task force chartered: July 2008 to March 2009

      • three tasks:

        • complete a data repository prospectus

        • work with faculty and subject-specialist librarians in six different areas to ingest six different datasets into the current Purdue e-Data prototype

        • report findings and recommendations back to the Research Council


    Working group methodology l.jpg
    Working Group Methodology Data Curation

    interview faculty

    selection & appraisal

    create or enhance metadata

    obtain and ingest dataset

    determine and create appropriate points of access

    policies: submission, use, and preservation

    follow-up with faculty

    examine role of librarians and the Libraries vis-à-vis an institutional data repository service


    Slide33 l.jpg

    Ten Questions to Begin a Conversation With Faculty About Data Curation

    What is the story of your data?

    What form and format are the data in?

    What is the expected lifespan of your data?

    How could your data be used, reused, and repurposed?

    How large is your dataset, and what is its rate of growth?

    Who are potential audiences for your data?

    Who owns the data?

    Does the dataset include any sensitive information?

    What publications or discoveries have resulted from the data?

    How should the data be made accessible?

    Witt, M. & Carlson, J. (2007). Conducting a data interview. http://docs.lib.purdue.edu/lib_research/81/.



    Examples l.jpg
    Examples Data Curation

    “Indiana Water Quality”

    Group member = Chris Miller

    Doctoral Student = Cristina Carbajo

    Subject Librarian = Marianne Stowell Bracke

    “Survey of Indiana Assistive Technology Professionals”

    Group member = Jake Carlson

    Faculty = Bart Bishop, Center for Assistive Technologies

    Subject Librarian = Jane Kinkus

    “Controversial Facilities in Japan”

    Group member = Michael Witt

    Faculty = Daniel Aldrich, political science

    Subject Librarian = Bert Chapman

    "Vehicle Signatures"

    Group member = Mark Newton

    Faculty = Darcy Bullock, civil engineering

    Subject librarian = Megan Nelson


    Emerging issues include l.jpg
    Emerging issues include... Data Curation

    Reward structure, role of data in scholarly communication

    Trust

    Sustainability (both economic and technological)

    Roles

    Long-term preservation

    Access (presenting data in an appropriate context)

    Metadata (organization and description of data)

    Persistence

    Provenance

    Ingest and scale

    Intellectual property and permissions

    Policies


    Slide37 l.jpg

    Data Curation 100 conversations, lead to 20 discussions, lead to 5 grants, lead to 1 award


    Slide38 l.jpg

    Thank you! Data Curation

    Questions and Answers?

    James L. Mullins – Purdue University

    jmullins@purdue.edu


    ad
  • Login