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Dam It !. Larry Gall Peabody Museum of Natural History Yale University. Dam It !. Dam It !. You crashed my EMu client again, you %}&$ !. It wasn’t me, you #@^* loser !. Dam It !. You crashed my EMu client again, you %}&$ !. It wasn’t me, you #@^* loser !. Dam It !.

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Dam it

Dam It !

Larry Gall

Peabody Museum of Natural History

Yale University


Dam it

Dam It !


Dam it

Dam It !

You crashed my EMu client again, you %}&$ !

It wasn’t me, you

#@^* loser !


Dam it

Dam It !

You crashed my EMu client again, you %}&$ !

It wasn’t me, you

#@^* loser !


Dam it

Dam It !


Dam it

Dam It !

noun


Dam it

Dam It !

noun


Dam it

Dam It !

AM

am

noun


Dam it

Dam It !

AM

am

noun


Dam it

Dam It !

AM

am

S

^

noun


Dam it

About DAM Peabody


Dam it

About DAM Peabody

DAM Brief DAM Review


Dam it

About DAM Peabody

DAM Brief DAM Review

DAM Yale & DAM EMu


Peabody collections counts functional cataloguing unit

Peabody CollectionsCounts & Functional Cataloguing Unit

  • Anthropology 325,000Lot

  • Botany 350,000Individual

  • Entomology 950,000Lot / Individual

  • Invertebrate Paleontology 325,000Lot

  • Invertebrate Zoology 325,000Lot

  • Mineralogy 35,000Individual

  • Paleobotany 150,000Individual

  • Scientific Instruments 4,000Individual

  • Vertebrate Paleontology 125,000Individual

  • Vertebrate Zoology 185,000Lot / Individual

    2.7 million database-able units => ~12 million items


Peabody collections functional units databased

Peabody CollectionsFunctional Units Databased

  • Anthropology 325,000 95 %

  • Botany 350,000 22 %

  • Entomology 950,000 16 %

  • Invertebrate Paleontology 325,000 80 %

  • Invertebrate Zoology 325,000 31 %

  • Mineralogy 35,000 85 %

  • Paleobotany 150,000 60 %

  • Scientific Instruments 4,000100 %

  • Vertebrate Paleontology 125,000 60 %

  • Vertebrate Zoology 185,000 95 %

    1,331,000 of 2.7 million => 49 % overall


Dam it

About DAM Peabody


Dam it

About DAM Peabody

DAM Brief DAM Review


Dam it

DAM: management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.

MAM: sub-category of DAM, mainly for audio, video and other media content.

ECM: enterprise content management describes solutions which address similar features but in a wider range of industries

or applications.


Dam it

DAM: management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.


Dam it

DAM: management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.

MAM: sub-category of DAM, mainly for digital photographs, audio, video and other media content.


Dam it

DAM: management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.

MAM: sub-category of DAM, mainly for digital photographs, audio, video and other media content.


Dam it

DAM: management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.

MAM: sub-category of DAM, mainly for digital photographs, audio, video and other media content.


Dam it

DAM: management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.

MAM: sub-category of DAM, mainly for digital photographs, audio, video and other media content.

[CIA] assets


Dam it

DAM: management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.

MAM: sub-category of DAM, mainly for digital photographs, audio, video and other media content.


Dam it

DAM: management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.

MAM: sub-category of DAM, mainly for digital photographs, audio, video and other media content.

[CIA] assets

Asset preservation,


Dam it

DAM: management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.

MAM: sub-category of DAM, mainly for digital photographs, audio, video and other media content.

[CIA] assets

Asset preservation, not deletion


Dam it

DAM: management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.

MAM: sub-category of DAM, mainly for digital photographs, audio, video and other media content.


Dam it

DAM: management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.

MAM: sub-category of DAM, mainly for digital photographs, audio, video and other media content.


Dam it

DAM: management tasks and decisions surrounding the ingestion, annotation, cataloguing, storage, retrieval and distribution of digital assets.

MAM: sub-category of DAM, mainly for digital photographs, audio, video and other media content.

ECM: enterprise content management describes solutions which address similar features but in a wider range of industries

or applications.


Dam it

Large heavyweight DAMs, small lightweight DAMs


Dam it

Large heavyweight DAMs, small lightweight DAMs


Dam it

Large heavyweight DAMs, small lightweight DAMs


Dam it

DAM architectures complex & variable


Dam it

DAM architectures complex & variable


Dam it

DAM architectures complex & variable - DAM vendor/integrator relevant


Dam it

DAM architectures complex & variable - DAM vendor/integrator relevant


Dam it

DAM architectures complex & variable - DAM vendor/integrator relevant


Dam it

DAM architectures complex & variable - DAM vendor/integrator relevant


Dam it

DAM architectures complex & variable - DAM vendor/integrator relevant


Dam it

About DAM Peabody

DAM Brief DAM Review


Dam it

About DAM Peabody

DAM Brief DAM Review

DAM Yale & DAM EMu


Dam it

Motivation - why give a DAM ?


Dam it

Motivation - why give a DAM ?

Yale actively pursuing a campus-wide strategy for all digital assets whose

architecture includes DAM and cross-domain discovery/search mechanisms

Get YPM assets into new contexts for scholarly engagement; cost share

Place YPM non-biological collections in proximity to their Yale peers

Items in e.g., YPM Anthropology and Instruments Departments more closely

related to Art Department & Art Gallery than to YPM biological collections

Integrate all of YPM’s digital assets into a common environment

Digital collections assets managed in EMu, but no such “curatorial system”

exists for non-collections assets (e.g., Events, Exhibits, Public Education)

as these are scattered widely on CDs, hard drives, shoe boxes, et al.


Dam it

Motivation - why give a DAM ?

Yale actively pursuing a campus-wide strategy for all digital assets whose

architecture includes DAM and cross-domain discovery/search mechanisms

Get YPM assets into new contexts for scholarly engagement; cost share

Place YPM non-biological collections in proximity to their Yale peers

Items in e.g., YPM Anthropology and Instruments Departments more closely

related to Art Department & Art Gallery than to YPM biological collections

Integrate all of YPM’s digital assets into a common environment

Digital collections assets managed in EMu, but no such “curatorial system”

exists for non-collections assets (e.g., Events, Exhibits, Public Education)

as these are scattered widely on CDs, hard drives, shoe boxes, et al.


Dam it

Motivation - why give a DAM ?

Yale actively pursuing a campus-wide strategy for all digital assets whose

architecture includes DAM and cross-domain discovery/search mechanisms

Get YPM assets into new contexts for scholarly engagement; cost share

Place YPM non-biological collections in proximity to their Yale peers

Items in e.g., YPM Anthropology and Instruments Departments more closely

related to Art Department & Art Gallery than to YPM biological collections

Integrate all of YPM’s digital assets into a common environment

Digital collections assets managed in EMu, but no such “curatorial system”

exists for non-collections assets (e.g., Events, Exhibits, Public Education)

as these are scattered widely on CDs, hard drives, shoe boxes, et al.


Dam it

Motivation - why give a DAM ?

Yale actively pursuing a campus-wide strategy for all digital assets whose

architecture includes DAM and cross-domain discovery/search mechanisms

Get YPM assets into new contexts for scholarly engagement; cost share

Place YPM non-biological collections in proximity to their Yale peers

Items in e.g., YPM Anthropology and Instruments Departments more closely

related to Art Department & Art Gallery than to YPM biological collections

Integrate all of YPM’s digital assets into a common environment

Digital collections assets managed in EMu, but no such “curatorial system”

exists for non-collections assets (e.g., Events, Exhibits, Public Education)

as these are scattered widely on CDs, hard drives, shoe boxes, et al.


Dam it

Motivation - why give a DAM ?

Yale actively pursuing a campus-wide strategy for all digital assets whose

architecture includes DAM and cross-domain discovery/search mechanisms

Get YPM assets into new contexts for scholarly engagement; cost share

Place YPM non-biological collections in proximity to their Yale peers

Items in e.g., YPM Anthropology and Instruments Departments more closely

related to Art Department & Art Gallery than to YPM biological collections

Integrate all of YPM’s digital assets into a common environment

Digital collections assets managed in EMu, but no such “curatorial system”

exists for non-collections assets (e.g., Events, Exhibits, Public Education)

as these are scattered widely on CDs, hard drives, shoe boxes, et al.


Dam it

Motivation - why give a DAM ?

Yale actively pursuing a campus-wide strategy for all digital assets whose

architecture includes DAM and cross-domain discovery/search mechanisms

Get YPM assets into new contexts for scholarly engagement; cost share

Place YPM non-biological collections in proximity to their Yale peers

Items in e.g., YPM Anthropology and Instruments Departments more closely

related to Art Department & Art Gallery than to YPM biological collections

Integrate all of YPM’s digital assets into a common environment

Digital collections assets managed in EMu, but no such “curatorial system”

exists for non-collections assets (e.g., Events, Exhibits, Public Education)

as these are scattered widely on CDs, hard drives, shoe boxes, et al.


Dam it

So, which DAM did Yale select ?


Dam it

YUAG

YCBA


Dam it

YUAG

YCBA


Dam it

Artesia application programming

interface (API) was well exposed

xxxxxxxxxxxxxx

YUAG

YCBA


Dam it

Artesia application programming

interface (API) was well exposed

xxxxxxxxxxxxxx

YUAG

YCBA


Dam it

About DAM Peabody

DAM Brief DAM Review

DAM Yale & DAM EMu


Dam it

YPM

Synopsis of the path to


Dam it

YPM

Synopsis of the path to

DAM Politics

^


Dam it

Only a small percentage of digital projects are using any recognized metadata standards

Long-term maintenance and support is a critical but largely unrecognized need

No current mechanism exists for disseminating information on existing digital projects


Dam it

Only a small percentage of digital projects are using any recognized metadata standards

Long-term maintenance and support is a critical but largely unrecognized need

No current mechanism exists for disseminating information on existing digital projects


Dam it

Only a small percentage of digital projects are using any recognized metadata standards

Long-term maintenance and support is a critical but largely unrecognized need

No current mechanism exists for disseminating information on existing digital projects


Dam it

Only a small percentage of digital projects are using any recognized metadata standards

Long-term maintenance and support is a critical but largely unrecognized need

No current mechanism exists for disseminating information on existing digital projects


Dam it

Only a small percentage of digital projects are using any recognized metadata standards

Long-term maintenance and support is a critical but largely unrecognized need

No current mechanism exists for disseminating information on existing digital projects


Dam it

Only a small percentage of digital projects are using any recognized metadata standards

Long-term maintenance and support is a critical but largely unrecognized need

No current mechanism exists for disseminating information on existing digital projects


Dam it

Only a small percentage of digital projects are using any recognized metadata standards

Long-term maintenance and support is a critical but largely unrecognized need

No current mechanism exists for disseminating information on existing digital projects


Dam it

Yale Digital Commons (YDC)


Dam it

2009-2010


Dam it

2009-2010


Dam it

Yale-wide partnership led by ODAI between Museums, Libraries …


Dam it

YUAG

YCBA

YPM

YUL


Dam it

All partners looking for lots of asset storage and cross-domain asset discovery

YUAG

YCBA

YPM

YUL


Dam it

All partners looking for lots of asset storage and cross-domain asset discovery

YUAG

YCBA

Essential

Beyond Critical

YPM

YUL

Important


Dam it

YUAG

YCBA

YPM

Phase I partners


Dam it

Cross Collections Discovery (CCD)


Dam it

Cross Collections Discovery (CCD)

OAI-PMH


Dam it

Cross Collections Discovery (CCD)

OAI-PMH

Harvest /store XML from native schemas (e.g., DwC, CDWA)

Crosswalk all schemas to a “Yale CCD Common Discovery Model”

Deliver Yale collections items in one-stop-shopping environment


Dam it

Cross Collections Discovery (CCD)

Q1 2010

BETA

OAI-PMH

Harvest /store XML from native schemas (e.g., DwC, CDWA)

Crosswalk all schemas to a “Yale CCD Common Discovery Model”

Deliver Yale collections items in one-stop-shopping environment


Dam it

Artesia DAM


Dam it

Artesia DAM

Harvest /store XML into a common Artesia-specific model

That model mirrors “Yale CCD Common Discovery Model”

Use Library of Congress BagIT to deliver assets to DAM


Dam it

Artesia DAM

Q2 2010

Harvest /store XML into a common Artesia-specific model

That model mirrors “Yale CCD Common Discovery Model”

Use Library of Congress BagIT to deliver assets to DAM


Dam it

Artesia DAM

Q2 2010

Harvest /store XML into a common Artesia-specific model

That model mirrors “Yale CCD Common Discovery Model”

Use Library of Congress BagIT to deliver assets to DAM


Dam it

Artesia DAM

Q2 2010

Harvest /store XML into a common Artesia-specific model

That model mirrors “Yale CCD Common Discovery Model”

Use Library of Congress BagIT to deliver assets to DAM


Dam it

ODAI adopted BagIt to move

stuff around the entire YDC


Dam it

XML


Dam it

XML

OAI-PMH


Dam it

MD5


Dam it

Tag


Dam it

“hot folder”

in the DAM

where an ingest

monitor grabs it


Dam it

“Holey” bag


Dam it

“Holey” bag


Dam it

“Holey” bag


Dam it

“Holey” bag


Dam it

“Holey” bag


Dam it

“Holey” bag

^&*($


Dam it

Select a multimedia IRN

Select operation (e.g., new, update)

Decide contents of bag based on operation

Build the bag using BagIt

Drop bag into DAM hot folder

DAM monitor ingests the bag/asset

DAM monitor provides logging/messages

Retrieve and parse the messages for the bag

Round-trip DAM info into multimedia IRN

^&*($


Dam it

Select a multimedia IRN

Select operation (e.g., new, update)

Decide contents of bag based on operation

Build the bag using BagIt

Drop bag into DAM hot folder

DAM monitor ingests the bag/asset

DAM monitor provides logging/messages

Retrieve and parse the messages for the bag

Round-trip DAM info into multimedia IRN

^&*($


Dam it

Select a multimedia IRN

Select operation (e.g., new, update)

Decide contents of bag based on operation

Build the bag using BagIt

Drop bag into DAM hot folder

DAM monitor ingests the bag/asset

DAM monitor provides logging/messages

Retrieve and parse the messages for the bag

Round-trip DAM info into multimedia IRN

^&*($


Dam it

Select a multimedia IRN

Select operation (e.g., new, update)

Decide contents of bag based on operation

Build the bag using BagIt

Drop bag into DAM hot folder

DAM monitor ingests the bag/asset

DAM monitor provides logging/messages

Retrieve and parse the messages for the bag

Round-trip DAM info into multimedia IRN

^&*($


Dam it

Select a multimedia IRN

Select operation (e.g., new, update)

Decide contents of bag based on operation

Build the bag using BagIt

Drop bag into DAM hot folder

DAM monitor ingests the bag/asset

DAM monitor provides logging/messages

Retrieve and parse the messages for the bag

Round-trip DAM info into multimedia IRN

^&*($


Dam it

Select a multimedia IRN

Select operation (e.g., new, update)

Decide contents of bag based on operation

Build the bag using BagIt

Drop bag into DAM hot folder

DAM monitor ingests the bag/asset

DAM monitor provides logging/messages

Retrieve and parse the messages for the bag

Round-trip DAM info into multimedia IRN

^&*($


Dam it

Select a multimedia IRN

Select operation (e.g., new, update)

Decide contents of bag based on operation

Build the bag using BagIt

Drop bag into DAM hot folder

DAM monitor ingests the bag/asset

DAM monitor provides logging/messages

Retrieve and parse the messages for the bag

Round-trip DAM info into multimedia IRN

^&*($


Dam it

Select a multimedia IRN

Select operation (e.g., new, update)

Decide contents of bag based on operation

Build the bag using BagIt

Drop bag into DAM hot folder

DAM monitor ingests the bag/asset

DAM monitor provides logging/messages

Retrieve and parse the messages for the bag

Round-trip DAM info into multimedia IRN

^&*($


Dam it

Select a multimedia IRN

Select operation (e.g., new, update)

Decide contents of bag based on operation

Build the bag using BagIt

Drop bag into DAM hot folder

DAM monitor ingests the bag/asset

DAM monitor provides logging/messages

Retrieve and parse the messages for the bag

Round-trip DAM info into multimedia IRN

^&*($


Dam it

Select a multimedia IRN

Select operation (e.g., new, update)

Decide contents of bag based on operation

Build the bag using BagIt

Drop bag into DAM hot folder

DAM monitor ingests the bag/asset

DAM monitor provides logging/messages

Retrieve and parse the messages for the bag

Round-trip DAM info into multimedia IRN

^&*($


Dam it

Select a multimedia IRN

Select operation (e.g., new, update)

Decide contents of bag based on operation

Build the bag using BagIt

Drop bag into DAM hot folder

DAM monitor ingests the bag/asset

DAM monitor provides logging/messages

Retrieve and parse the messages for the bag

Round-trip DAM info into multimedia IRN

Resize the EMu copy of

asset to small derivative

^&*($


Dam it

YUAG

YCBA

YPM


Dam it

YUAG

YCBA

YPM

Since early mid summer,

>250,000 assets ingested,

many exceeding 100 mB


Dam it

YUAG

YCBA

YPM

2008-2010 DAM timeframe

was not without anxiety…


Dam it

YUAG

YCBA

YPM


Dam it

YUAG

YCBA

YPM


Dam it

YUAG

YCBA

YPM


Dam it

YUAG

YCBA

YPM


Dam it

YUAG

YCBA

YPM


Dam it

YUAG

YCBA

YPM


Dam it

YUAG

YCBA

YPM

Hey, I’ve seen her before …


Dam it

YUAG

YCBA

YPM


Dam it

YUAG

YCBA

YPM


Dam it

Yale

Digital

Silos


Dam it

X

Yale

Digital

Silos


Dam it

Dam It !


Dam it

Dam It !

^&*($


Dam it

Dam It !

^&*($


Dam it

Dam It !

@%!+

^&*($


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