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Rutgers Community Repository RUCORE 1 Research Data and Context Presentation Goals The challenge of context Metadata design to support context Rutgers University Libraries’ Rucore strategy [email protected] http://rucore.libraries.rutgers.edu/res earch http://rucore.libraries.rutgers.edu/ downloads
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Research Data and Context

Presentation Goals The challenge of context Metadata design to support context Rutgers University Libraries’ Rucore strategy

[email protected]

http://rucore.libraries.rutgers.edu/research

http://rucore.libraries.rutgers.edu/downloads

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The Challenge of Context

Information is Changing Fundamentally

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The Challenge of Context

The New Paradigm

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RUcore Overview http://rucore.libraries.rutgers.edu

19,000+ objects Popular collections

ETDs – Theses and Dissertations (over 1700) Historic Maps (from Special Collections) Grant supported projects:

New Jersey Digital Highway (IMLS) Videeo Mosaic Collaborative (NSF) Videos – NJVid Statewide Video Network; (IMLS)

Special services Faculty deposit Custom portals Online submission of ETDs

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RUcore Overview

Robust Infrastructure Fedora Commons repository architecture Workflow Management System, for object

handling and metadata supports: Full METS profile Event-based metadata for capturing data lifecycle customizable vocabularies by collection

User applications Customizable portal archiecture Flexible metadata search and display by portal ETD and Faculty deposit interfaces Access control with XACML.

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RUResearch – Research Data Portal

Support research, collaboration, and related grants

Archive and preserve/curate data Facilitate sharing and reuse of data Link all associated resources to data, from the grant

documentation to rights licenses and releases to experimental documentation to publication and reuse. All with “who, what, where, when, why” context.

Assist in improving data methods Promote innovation and new uses of data Context-based research space in development

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Evolving Data Management Strategy

Heterogeneous data characteristics and methods Shared understanding of data and workflow

through data and context model Tools/services for analysis, mining, & visualization Team based approach for Rutgers Data

Management Leverage strengths of the Library New roles for liaisons Intensive in-house training to create holistic knowledge

base for all

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PROJECT

Experiment

TrialData Analysis

Data Collection Hierarchy

Associated objects:Design documents;Grant proposal;Hypothesis;Methodology;Grant award;IRB protocol;

Research Data Lifecycle

Publication

Associated objects:Field notesLab notesData correctionsInstrument calibrations

Associated objects:Code bookSoftwareArticle, dissertation, etc.

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Context Starts with Relationship

Project

Data

hasMember/isMemberOf

DocumentsSoftware

Numeric

Data

Survey InterviewNumeric

Data

Supp.Materials

hasMember/isMemberOf

hasPart/isPartOf

hasPart/isPartOf

RelationshipsExternal to Object

Dissertation in Ruetd;Article in RUcore (or elsewhere)

Fedora “rels ext” RDF statements linked to MODS related item elements

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Metadata

Capturing Data Characteristics Physical Format (audio, video, excel, SPSS, etc.) Date Location Sample type (specimen, sensor data, survey data, etc.) Data collection method (observation, culturing, survey, etc.) Sampling methodology Survey methodology Status (raw, normalized, corrected) Edition

RU Data Survey and research profiles

Research Metadata Copyright, ownership, and policies

A Research Repository (to complement the Archive)

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Context of Data Creation

Project Name Project structure (Experiments, trials, etc.) Provenance of research

Grant award Hypotheses, etc. IRB protocol

Provenance and relationship of resources

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Context of Data Use

Copyright and ownership / restrictions on reuse License, publicity releases, etc.

Publications resulting from research Articles, dissertations, in other collections or

external Data Analysis / analytics (GIS maps,

Ruanalytic, etc.) New data editions

Context is captured through RDF relationship statements (linking) and event metadata in each METS document (descriptive, source, rights, etc.) to add circumstances of relationship.

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Data

Data-centric View

Is analyzed in

Analysis event

Publication event

Is published in

Is created in

Project

Creation event

Creation event

e.g., Experiment

e.g., Trial

Events:

• Situate each lifecycle event in place and time, with associated objects and agents.

• Events can be displayed or not in different portals

• Data is disambiguated from its context for more efficient reuse. But the context is always there to be retrieved,

• No limit to the number and type of events that can be added.

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RUResearch Today

Metadata specific to the research process Relationships and events to capture research context Customized portals for research projects as well as central portal Preservation, curation, digitization and storage facilities

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RUResearch Today Project Portals

Faculty member selects metadata elements for search and browse

Faculty member selects metadata elements (including events) for display

Working documents (e.g., IRB protocol, participant releases, etc.) can remain private

All relevant ancillary documents are available with the resource.

All necessary software applications are maintained up to date and launched as needed.

Publications resulting from research are linked and displayed in metadata

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RUResearch Portal

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Events showing Lifecycle / Context

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Custom Portals

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Equine Science Center Videos

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OpenWMS http://rucore.libraries.rutgers.edu/d

ownloads

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OpenWMS http://rucore.libraries.rutgers.edu/d

ownloads

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OpenWMS http://rucore.libraries.rutgers.edu/d

ownloads

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OpenWMS http://rucore.libraries.rutgers.edu/d

ownloads

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Conference Proceedings

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EXHIBITIONS SERVICE / PORTAL

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EXHIBITIONS SERVICE / PORTAL

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Event metadata triggers Functionality (display order, etc.)

Remains with object as lifecycle use event

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RUResearch Tomorrow

User friendly submission portal in development Set up of project / data collection hierarchy

Manual and automatic upload of data to appropriate place in hierarchy (“folder”)

Create project records and events and upload relevant documents (grant award, grant report, IRB protocol, etc.)

Ability to review all data and documents according to project structure set up by faculty member / RUcore data administrator.

ETA – Winter 2012

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Context Resource Map:Relationship plus Event-based context

CONTEXTSERVICE

A B C

DIGITAL EXHIBITS Use Case

Existing RUcore

Collection

ContextResource

D E F

Existing RUcore

Collection

Section MD contains information relevant to that part of the exhibit. (e.g. –section text, co-curator, etc)

For Digital Exhibits this MD contains information relevant to entire exhibit (e.g – catalog, dates, funding, etc)

Individual object contains exhibition MD for that object only. Contains caption and which section object belongs. Contains object and associated event ID for the section.

JVB, CZ – 2/16/11

Section 1

Section 2

Section 3

AD

B EF

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RUCore Future – Context-based workspace and public space

Researcher files data sets, documents, etc. under relevant event folders.

Researcher decides if file is private, shared with specific users or public

Users see resources that are made open by researcher

Researcher User

Shared understandingDynamicContext driven


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