Can Institutional and Subject-Specific Data Repositories Co-Exist?

William MichenerUniversity LibrariesUniversity of New Mexico

22 May 2013

2

The Long Tail of Orphan Data

Volu

me

Rank frequency of datatype

Well-curated/-preserved

Orphan data

(B. Heidorn)

2

CharacteristicsBig ScienceLarge VolumeAutomated sensorsWell describedWell curatedEasily Discovered

• Small Science• Small Volume• Poorly described• Rarely Indexed• Invisible to scientists• Rarely Used• Dark Data

• High spatial resolution• Process based• Theory Development• Model Development• Benchmarking

Characteristics

3

The Long Tail of Orphan DataVolu

me

Rank frequency of datatype

Subject repositories

Institutional repositories

(B. Heidorn)

3

No repositories

4

5

DataONE: Federating Data

Providing universal access to data about life on earth and the environment that sustains it

1. Building community2. Developing sustainable data discovery and interoperability solutions

3. Enabling science through tools and services

Plan

Collect

Assure

Describe

Preserve

Discover

Integrate

Analyze

6

Metadata Interoperability

KNB

LTER

ORNL DAAC InternalMetadataIndex

CDL

Coordinating Nodes

Met

adat

a Ex

trac

tion

• Virtual Portals

• Numerous search capabilities

• Metadata has link to data, which reside atMember Nodes

USGS CSAS

D-Space, I-Rods …

EML, ISO FGDC

FGDC, ISO

EML

FGDC

Dublin Core

Darwin Core

…

FGDC, ISO

Member Nodes

*Others