bloomsbury conference ucl, london 6.25.10 fourth bloomsbury conference on e-publishing and...

Bloomsbury ConferenceUCL, London

6.25.10

Fourth Bloomsbury Conference on e-Publishing and e-PublicationsValued Resources: Roles and Responsibilities of Digital Curators and Publishers

Conceptualizing Library Data Curation and Publishing Services at

Purdue University

D. Scott BrandtAssoc Dean for Research

Purdue University Libraries

Charles WatkinsonDirector

Purdue University Press


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Structure of the Presentation

I. Some Background & ContextII. Exploring Library’s Role in the “Data Deluge”III. Data Curation Profiles: what we’re learningIV. What a Publisher can learn from the Profile “Data curation is the activity of managing and

promoting the use of data from the point of creation, to ensure its fitness for contemporary purposes and availability for discovery and reuse.”


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Purdue University and Purdue Libraries • ~38K students, ~1.8K faculty• Strengths in science, technology,

agriculture, & engineering. • 12 subject-oriented Libraries + units • University press a unit (only 11% of

US presses report within Libraries)Directors of Office of Copyright,

Finance, and the University Press

Assoc Deanfor Digital

Programs and Information

Access

Assoc Deanfor Planning & Administration


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secondary/tertiary

resources

publishedresearchtraditional

publishedresearch

non-traditional

unpublishedresearch

non-traditional

publisheddata/

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.)

analyzeddata/

datasets

processeddata/

datasets

“raw”data/

datasets

Analyzed data might need to be reviewed prior to publication, or in case of questions after publication. It is increasingly linked as “supplementary data” by publishers

Quite often data must be scrubbed/anonymized, or processed to format prior to analysis; some disciplines share this data widely within their communities (e.g., astronomy, physics, etc.)

Some raw data are shared readily (e.g., genetics), but also quite often are discarded, depending on discipline


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PUL response to “data deluge”

• Investigating research data needs and building relationships with faculty, in order to:

• Design, build, assess prototype infrastructure, tools and services to handle digital data.

• This approach recognizes the disciplinary-specific nature of faculty needs, though there is a tension between this and the practical requirements of building a sustainable suite of services/digital infrastructure.


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Our organization to achieve this vision

Faculty Liaisonsubject librarians

disciplinary faculty

Rights ManagementUniversity Copyright Office

Publishinge-Pubs & Press

Data ManagementD2C2


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1. Investigating Research Data Needs

• Strategy 1: Embedding data scientists in research projects; D2C2 provides this expert consultancy.

• Strategy 2: Creating tools to structure conversations about data; Data Curation Profiles help liaison librarians structure their conversations.

D2C2 DCP

librarians

researchers


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Adapted from: e-Science and the Life Cycle Model of Researchhttp://datalib.library.ualberta.ca/~humphrey/lifecycle-science060308.doc

• Developing a Content Organization Framework for Regenstrief Center Healthcare Delivery Hub• Enabling end-to-end geospatial data modeling workflows via INPort: The Isotope Networks Portal

• Ingest, Preservation and Access for Water Quality Datasets in an Institutional Repository• Developing a Data Management and Curation Workflow for Camp Calcium

• Integrating Spatial Educational Experiences (ISEE) into Crop, Soil, and Environmental Science Curricula• INTEROP: Developing Community-based DRought Information Network Protocols and Tools for Multi -disciplinary Regional Scale Applications

• Leveraging Relational Information in the HUBs using Linked Data • Investigate and Implement Persistence for HUB Resources• DataCite (founding member) • Prototype publications linked to data through e-Pubs and Purdue University Press.

2. Solving Problems and Developing Prototype Tools, Systems, Services

ResearchOutcomes

AnalysisDataProcessing

DataCollection

StudyConcept &

Design

DataAccess &

Dissemination


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Data Curation Profiles


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Profiling Data

• Research Data Lifecycle (what’s the story of the data from producer's perspective)

• Data Management / Storage• Disposition of the Data• Data Dissemination and Sharing• Data Preservation and Repositories• Roles for Libraries, Librarians, and

PublishersSample Profile link


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Disposition of the Data• Willingness / Motivations to share

– feelings/reservations/willingness towards sharing

• Access control– need to restrict or control access to/from others

• Target data for sharing – stage in the lifecycle the data should be shared

• Value of the data – real or potential value, from their perspective

• Embargo (and reasons why/why not)


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What data curators can learn

• Advancing university-based cyberinfrastructure is dependent on our understanding of how to support data practices and needs

• Sharing is at the heart of success: collecting, storing, and making use of data can only come after the means for sharing are in place

• We cannot collect and curate all data, particularly in a way that facilitates effective re-use – We will need to work with researchers to develop

selection and appraisal guidelines, and data services

from: M. Cragin. (2009) “Data Sharing, Small Science, and Institutional Repositories.” UK e-Science All Hands Meeting: Oxford, UK


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Data Curation Proliferation

dataconservancy.org

DCP

12workshops


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What publishers can learn• Researchers want to disseminate outputs, but ranges

in scope, format, use• They are generally willing to share data with others,

but not without certain restrictions, or benefits for themselves

• They hold on to their data but do not do much to curate it; what is most easily or willingly shared is not always the data that has the most re-use value


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Purdue UP lesson learned 1“Researchers want to disseminate outputs, but ranges

in scope, format, use”• Print books and subscription-based journals, PUP’s

traditional focus, are not enough• PUP / Libraries need to offer a range of different

channels to fit different needs• PUP / Libraries need a venue to experiment with

hybrid or new models


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Post Print

Pre Print

Scholarly Impact of Content

Sou

rce

of s

chol

arsh

ip

Masters Thesis

Fac

ulty

Adm

inS

tude

nt

Honor Papers

Una

ffili

ated

Low High

“A Continuum of Scholarly Content” in the IR(with thanks to J.G. Bankier, Berkeley Electronic Press)

Book Faculty Journal

Faculty Conference

Datasets/Primary research

Non-research output

Dissertation

Graduate Journal

Undergrad Journal

Newsletter

Symposium

Admin ReportAlumni Magazine

Commencement address

Society Journal

Policy Report

Research Finding

Undergrad Conference

Committee Meetings Research Reports

Historical Collection

Red stars = Purdue UP?Blue stars = Purdue e-Pubs?


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Purdue UP lesson learned 2“Researchers willing to share data with others, but not

without certain restrictions/benefits”• PUP provides a layer of editorial services for

credentialing that can incentivize data sharing• PUP needs to make it easy to link to and cite data in

publications (Datacite so important!)• PUP / Libraries need to be nuanced in their Open

Access messages (OA is not always right strategy)


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Follow in-text URLs to supplementarydata

View spreadsheets on-site or download them fromyour personal computer

Read the full text of the book on yourportable device


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Purdue UP lesson learned 3“What is most easily/willingly shared is not always data

that has the most re-use value”• Move away from producing data supplements for

publications to producing supplementary publications to drive re-use of data

• Take advantage of being “inside the tent” to have deeper conversations with scholars about what is most important data for reuse


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Next Steps• Spreading the use of DCPs so that we can get a more

complete picture of faculty behavior variations around data

• More clearly defining library-based publishing services, and building relevant skills and tools in Libraries and Press

• Communicating to faculty the full range of library services they have access to, and changing their old views of what Purdue Libraries and Purdue UP “do”


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Thankyou!

D. Scott [email protected]

Charles [email protected]

bloomsbury conference ucl, london 6.25.10 fourth bloomsbury conference on e-publishing and...

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