Dam It ! Larry Gall Peabody Museum of Natural History Yale University

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 !

noun

Dam It ! noun

Dam It ! noun am AM

Dam It ! noun am AM

Dam It ! noun am AM S ^

About DAM Peabody

About DAM Peabody DAM Brief DAM Review

About DAM Peabody DAM Brief DAM Review DAM Yale & DAM EMu

Peabody Collections Counts & 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 Anthropology 325, % Botany 350, % Entomology 950, % Invertebrate Paleontology 325, % Invertebrate Zoology 325, % Mineralogy 35, % Paleobotany 150, % Scientific Instruments 4, % Vertebrate Paleontology 125, % Vertebrate Zoology 185, % 1,331,000 of 2.7 million => 49 % overall

About DAM Peabody

About DAM Peabody DAM Brief DAM Review

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: 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: 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: 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: 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: 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: 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. Asset preservation, [CIA] assets

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. Asset preservation, not deletion [CIA] assets

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: 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: 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.

Large heavyweight DAMs, small lightweight DAMs

DAM architectures complex & variable

DAM architectures complex & variable - DAM vendor/integrator relevant

About DAM Peabody DAM Brief DAM Review

About DAM Peabody DAM Brief DAM Review DAM Yale & DAM EMu

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.

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.

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.

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.

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.

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.

So, which DAM did Yale select ?

YUAG YCBA

YUAG YCBA

xxxxxxxxxxxxxx YUAG YCBA Artesia application programming interface (API) was well exposed

xxxxxxxxxxxxxx YUAG YCBA Artesia application programming interface (API) was well exposed

About DAM Peabody DAM Brief DAM Review DAM Yale & DAM EMu

Synopsis of the path to YPM

Synopsis of the path to YPM DAM Politics ^

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

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

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

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

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

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

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

Yale Digital Commons (YDC)

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

YUAG YCBA YPMYUL

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

YUAG YCBA YPMYUL All partners looking for lots of asset storage and cross-domain asset discovery EssentialBeyond Critical Important

YUAG YCBA YPM Phase I partners

Cross Collections Discovery (CCD)

OAI-PMH

Cross Collections Discovery (CCD) 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 OAI-PMH

Cross Collections Discovery (CCD) OAI-PMH Q BETA 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

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

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 Q2 2010

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 Q2 2010

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 Q2 2010

ODAI adopted BagIt to move stuff around the entire YDC

XML

OAI-PMH

MD5

Tag

“hot folder” in the DAM where an ingest monitor grabs it

“Holey” bag

^&*($

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 ^&*($

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 ^&*($

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 ^&*($

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 ^&*($

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 ^&*($

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 ^&*($

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 ^&*($

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 ^&*($

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 ^&*($

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 ^&*($

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

YUAG YCBA YPM

YUAG YCBA YPM Since early mid summer, >250,000 assets ingested, many exceeding 100 mB

YUAG YCBA YPM DAM timeframe was not without anxiety…

YUAG YCBA YPM

YUAG YCBA YPM

YUAG YCBA YPM

YUAG YCBA YPM

YUAG YCBA YPM

YUAG YCBA YPM

YUAG YCBA YPM Hey, I’ve seen her before …

YUAG YCBA YPM

YUAG YCBA YPM

Yale Digital Silos

Yale Digital Silos X

Dam It !

^&*($

Dam It ! ^&*($

Dam It !