SlideShare a Scribd company logo
1 of 29
DAMbusters: IWM’s mission to design
and implement a bespoke DAMS
15 September 2017
Emily Dodd, Head of Collections Development & Information
Rosie Forrest, Collections Systems Manager
Rob Tyler, IT Infrastructure Manager (DAMS)
Overview
Our digital assets, and how we use them
Why we need a DAMS – and why an Axiell DAMS
Commissioning the DAMS development
Phases 1 and 2 of IWM’s DAMS project
Infrastructure, migration, technical aspects
Your DAMS projects?
Over 535,000 assets and 500TB so far:
4,000 film scan masters 450TB (DPX)
93,000 audio masters 10TB (WAV)
380,000 image masters 10TB (TIFF)
Over 58,000 access versions/ renditions 30TB of renditions
(PRORES, MPEG, Flash,
MP3, JPEG)
But this is increasing daily:
• “7000 Project” for films generates 10TB per month
• Videotape scanning project will generate 900TB over four years
• Ongoing born-digital acquisition
Our digital assets
Born-digital
• Official film and photographs from MOD under the PRA
• Portraits and film captured by our staff
• Sound interviews
• Video and mixed media artworks
Digitised
• Images of collections objects
• Scanned documents
• Optimised photographs
• Digitised sound and video for preservation
How we acquire digital assets
How we use digital assets
Commercial
• TV programme and documentary makers
• Film studios
• Direct sales: image and film
• Publishing, licensing and brand
Research
• Staff use
• Members of the public – remote access, digital copying
• Specialist and academic researchers
• Supporting collections management: condition, hazard etc
Access
• Embedded in exhibitions and audio-visual displays
 IWM website & Collections Online (6.2 million visits in 2016-17)
• Digital delivery of copies
NPB 13536.mov
Versions of assets
For the same reasons that we have
secure stores, display spaces and
shops:
• Preservation
• Access
• Commercial (c£900k income pa)
• Evidencing we meet ISO 16363
(key for retaining our public record
deposits and ensuring
stakeholders can be sure our
digital preservation capability is fit
for purpose)
So we need a DAMS….
• We wanted a DAMS that was responsive to museums’ needs,
not just commercial needs
• We knew Axiell understood IWM’s challenges and infrastructure
• Adlib is one of our core corporate systems
• We needed reliable, future-proof Adlib integration
• We’ve successfully commissioned bespoke Axiell development
in the past
• Simplicity – one key supplier
Why an Axiell DAMS?
IWM
Emily Dodd Budget and management assurance
Rosie Forrest Technical specs, Adlib integration, user comms
Rob Tyler Infrastructure, technical specs, storage forecasting
David Walsh Film expertise and voice of the end-user
Axiell
Alex Fell Project management and client comms
Ryan Martin, Joanna Preston, Dan Moran, Christ Hagenaars, Giuseppe
Davies, Ian Brown – the Development team
Our project team
Specification Detailed technical requirements
Started Dec 2015 User consultation and wish-list
Phase 1 Proof of concept – still image ingest
Live Nov 2016 Technical database and UX
Getting enough technical data to manage assets
Phase 2 Major advance - Time-based media ingest
Live April 2017 All jobs run on servers, not on user’s PC
Phase 3 Refinements - Improved user experience for ingest
In progress! Improved asset retrieval
Audit and manage stored assets
Additional functions from our “nice to have” list
Project summary
Specification
 Digital preservation
 Integrate with existing systems and infrastructure
 Automated batch ingest
 Easy but secure access to media
 Easy to use, monitor and upgrade
© IWM (ART LD 2320)
UMID = Unique Material Identifier
Network ► server ► volume ► YYYY ► MMDD ► HHMM ► UMID ► filename.type
0x060A2B340101010201010F12130000006DFAD8174478DE39000000155D065A03
Universal Label Material Number Time/ Date Coordinates Org/ User
Technical database as UMID translator
Input UMID to http service
Returns basic XML showing filepath
Adlib servers
Object record
Keywords
Person names
Places
Descriptions
Dates
Collections
How a search returns an image
Adlib API
Firewalls
Adlib servers
Object record
Keywords
Person names
Places
Descriptions
Dates
Collections
Conservation
Location
Exhibition
Management
Acquisition
Entry
How a search returns an image
Adlib API
Image reference
Firewalls
Adlib servers
Media record
Metadata
Version
Master UMID
Ingest data
Rendition UMIDS
Object record
Keywords
Person names
Places
Descriptions
Dates
Collections
Media type
Image reference
Rendition type
Conservation
Location
Exhibition
Management
Acquisition
Entry
Quality
How a search returns an image
Adlib API
Image reference
Firewalls
Adlib servers
Media record
Adlib API Metadata
Version
Master UMID
Ingest data
Rendition UMIDS
Object record
Keywords
Person names
Places
Descriptions
Dates
Collections
Media type
Image reference
Rendition type
Conservation
Location
Exhibition
Management
Acquisition
Entry
Quality
How a search returns an image
Adlib API
Image reference
Firewalls
Adlib servers
DAMS servers
Media record
Adlib API Metadata
Version
Master UMID
Ingest data
Rendition UMIDS
Object record
Keywords
Person names
Places
Descriptions
Dates
Collections
Media type
Media service record
UMIDFile path
Image reference
Rendition type
Metadata
Conservation
Location
Exhibition
Management
Acquisition
Entry
Quality
How a search returns an image
Adlib API
Image reference
Firewalls
Adlib servers
DAMS servers
Media record
Adlib API Metadata
Version
Master UMID
Ingest data
Rendition UMIDS
Object record
Keywords
Person names
Places
Descriptions
Dates
Collections
Media type
Media service record
UMIDFile path
Image reference
Rendition type
FILE
Metadata
Conservation
Location
Exhibition
Management
Acquisition
Entry
Quality
How a search returns an image
Adlib API
Image reference
Firewalls
Adlib servers
DAMS servers
Media record
Adlib API Metadata
Version
Master UMID
Ingest data
Rendition UMIDS
Object record
Keywords
Person names
Places
Descriptions
Dates
Collections
Media type
Media service record
UMIDFile path
Image reference
Rendition type
FILE
Metadata
Conservation
Location
Exhibition
Management
Acquisition
Entry
Quality
How a search returns an image
Adlib API
Image reference
Firewalls
Context
Usability
Delivery
Multiple assets and version control
Master showing colour bar
Optimised and ready to use
© IWM (EPH 8310)
© IWM (2020.165.1)
© IWM (Q 5717)
Transcoding
for access
ProRes Master =
20516 MB
Mpeg = 862 MB
Quicktime = 82 MB
Flash = 29 MB
Data formats
TIFF JPEG
WAV MP3
ProRes
Mpeg
Flash*
MP4 (HTML5)DPX
Image
Audio
Moving
image
MXF
© IWM (Art LD 3024)
Ingest user interface … a work in progress!
Visualisation UI … also still in development 
© IWM (Art.IWM ART 17050)
Development to be continued!
Asynchronous
microservices
DAMS servers
Storage servers
User processes
Original storage
Database servers
Ingest UI
START
Visualisation UI
END
FileIngest service Storage service
Metadata extraction
service
Database interaction
service File
Adlib API Adlib
Transcode service
Video transcoders
Audio transcoders
Image transcoders
Rendition
Rendition
Rendition
“…keeping digital material alive so that they remain usable as
technological advances render original hardware and software
specification obsolete.”
Harrods Librarian Glossary via Wikipedia
Digital preservation
 Storage data is abstracted
 Files are read-only
 Easy to upgrade/ add modules
 Transcoding for renewed formats
 Phase 3 of our Axiell DAMS project is just starting
 Audit/ checksum comparison tool
 Enhanced transcode capability
 Delete unwanted renditions or duplicate media
 Improved user interfaces
 Better access to media
What’s next for IWM
© IWM (D 3151)
 How will the data and assets be used?
 Minimise write access
 Understand your server infrastructure
 What formats do you need to support?
 Define a clear data standard
 Ask users what they want
 Plan for expansion
Where to start
Thanks!
© IWM (HU 99090)

More Related Content

What's hot

Something That Works: Implementing ResourceSpace Open Source Digital Asset Ma...
Something That Works: Implementing ResourceSpace Open Source Digital Asset Ma...Something That Works: Implementing ResourceSpace Open Source Digital Asset Ma...
Something That Works: Implementing ResourceSpace Open Source Digital Asset Ma...dwig
 
IBM Cloud Object Storage System (powered by Cleversafe) and its Applications
IBM Cloud Object Storage System (powered by Cleversafe) and its ApplicationsIBM Cloud Object Storage System (powered by Cleversafe) and its Applications
IBM Cloud Object Storage System (powered by Cleversafe) and its ApplicationsTony Pearson
 
SNW Pres City Of Safford 101209 Lr
SNW Pres City Of Safford 101209 LrSNW Pres City Of Safford 101209 Lr
SNW Pres City Of Safford 101209 LrEric Herzog
 
S016826 cloud-storage-nola-v1710d
S016826 cloud-storage-nola-v1710dS016826 cloud-storage-nola-v1710d
S016826 cloud-storage-nola-v1710dTony Pearson
 
S sy0883 smarter-storage-strategy-edge2015-v4
S sy0883 smarter-storage-strategy-edge2015-v4S sy0883 smarter-storage-strategy-edge2015-v4
S sy0883 smarter-storage-strategy-edge2015-v4Tony Pearson
 
Object Storage 1: The Fundamentals of Objects and Object Storage
Object Storage 1: The Fundamentals of Objects and Object StorageObject Storage 1: The Fundamentals of Objects and Object Storage
Object Storage 1: The Fundamentals of Objects and Object StorageHitachi Vantara
 
ECS/Cloud Object Storage - DevOps Day
ECS/Cloud Object Storage - DevOps DayECS/Cloud Object Storage - DevOps Day
ECS/Cloud Object Storage - DevOps DayBob Sokol
 
IBM's Cloud Storage Options
IBM's Cloud Storage OptionsIBM's Cloud Storage Options
IBM's Cloud Storage OptionsTony Pearson
 
S cv3179 spectrum-integration-openstack-edge2015-v5
S cv3179 spectrum-integration-openstack-edge2015-v5S cv3179 spectrum-integration-openstack-edge2015-v5
S cv3179 spectrum-integration-openstack-edge2015-v5Tony Pearson
 
S ss0886 pendulum-swings-edge2015-v3
S ss0886 pendulum-swings-edge2015-v3S ss0886 pendulum-swings-edge2015-v3
S ss0886 pendulum-swings-edge2015-v3Tony Pearson
 
IBM Object Storage and Software Defined Solutions - Cleversafe
IBM Object Storage and Software Defined Solutions - CleversafeIBM Object Storage and Software Defined Solutions - Cleversafe
IBM Object Storage and Software Defined Solutions - CleversafeDiego Alberto Tamayo
 
Cleversafe august 2016
Cleversafe august 2016Cleversafe august 2016
Cleversafe august 2016Joe Krotz
 
S de0882 new-generation-tiering-edge2015-v3
S de0882 new-generation-tiering-edge2015-v3S de0882 new-generation-tiering-edge2015-v3
S de0882 new-generation-tiering-edge2015-v3Tony Pearson
 
File Server and Storage Consolidation in the Cloud
File Server and Storage Consolidation in the CloudFile Server and Storage Consolidation in the Cloud
File Server and Storage Consolidation in the CloudBuurst
 
Storage Cloud and Spectrum presentation
Storage Cloud and Spectrum presentationStorage Cloud and Spectrum presentation
Storage Cloud and Spectrum presentationJoe Krotz
 
Design - Building Cloud Object Storage Infastructure
Design - Building Cloud Object Storage InfastructureDesign - Building Cloud Object Storage Infastructure
Design - Building Cloud Object Storage InfastructureLaurenWendler
 
Make a Move to AWS Now
Make a Move to AWS Now Make a Move to AWS Now
Make a Move to AWS Now Buurst
 
S ss0885 spectrum-scale-elastic-edge2015-v5
S ss0885 spectrum-scale-elastic-edge2015-v5S ss0885 spectrum-scale-elastic-edge2015-v5
S ss0885 spectrum-scale-elastic-edge2015-v5Tony Pearson
 
S100293 hybrid-cloud-orlando-v1804a
S100293 hybrid-cloud-orlando-v1804aS100293 hybrid-cloud-orlando-v1804a
S100293 hybrid-cloud-orlando-v1804aTony Pearson
 

What's hot (20)

Something That Works: Implementing ResourceSpace Open Source Digital Asset Ma...
Something That Works: Implementing ResourceSpace Open Source Digital Asset Ma...Something That Works: Implementing ResourceSpace Open Source Digital Asset Ma...
Something That Works: Implementing ResourceSpace Open Source Digital Asset Ma...
 
IBM Cloud Object Storage System (powered by Cleversafe) and its Applications
IBM Cloud Object Storage System (powered by Cleversafe) and its ApplicationsIBM Cloud Object Storage System (powered by Cleversafe) and its Applications
IBM Cloud Object Storage System (powered by Cleversafe) and its Applications
 
SNW Pres City Of Safford 101209 Lr
SNW Pres City Of Safford 101209 LrSNW Pres City Of Safford 101209 Lr
SNW Pres City Of Safford 101209 Lr
 
S016826 cloud-storage-nola-v1710d
S016826 cloud-storage-nola-v1710dS016826 cloud-storage-nola-v1710d
S016826 cloud-storage-nola-v1710d
 
S sy0883 smarter-storage-strategy-edge2015-v4
S sy0883 smarter-storage-strategy-edge2015-v4S sy0883 smarter-storage-strategy-edge2015-v4
S sy0883 smarter-storage-strategy-edge2015-v4
 
Object Storage 1: The Fundamentals of Objects and Object Storage
Object Storage 1: The Fundamentals of Objects and Object StorageObject Storage 1: The Fundamentals of Objects and Object Storage
Object Storage 1: The Fundamentals of Objects and Object Storage
 
ECS/Cloud Object Storage - DevOps Day
ECS/Cloud Object Storage - DevOps DayECS/Cloud Object Storage - DevOps Day
ECS/Cloud Object Storage - DevOps Day
 
IBM's Cloud Storage Options
IBM's Cloud Storage OptionsIBM's Cloud Storage Options
IBM's Cloud Storage Options
 
S cv3179 spectrum-integration-openstack-edge2015-v5
S cv3179 spectrum-integration-openstack-edge2015-v5S cv3179 spectrum-integration-openstack-edge2015-v5
S cv3179 spectrum-integration-openstack-edge2015-v5
 
S ss0886 pendulum-swings-edge2015-v3
S ss0886 pendulum-swings-edge2015-v3S ss0886 pendulum-swings-edge2015-v3
S ss0886 pendulum-swings-edge2015-v3
 
IBM Object Storage and Software Defined Solutions - Cleversafe
IBM Object Storage and Software Defined Solutions - CleversafeIBM Object Storage and Software Defined Solutions - Cleversafe
IBM Object Storage and Software Defined Solutions - Cleversafe
 
Cleversafe august 2016
Cleversafe august 2016Cleversafe august 2016
Cleversafe august 2016
 
S de0882 new-generation-tiering-edge2015-v3
S de0882 new-generation-tiering-edge2015-v3S de0882 new-generation-tiering-edge2015-v3
S de0882 new-generation-tiering-edge2015-v3
 
File Server and Storage Consolidation in the Cloud
File Server and Storage Consolidation in the CloudFile Server and Storage Consolidation in the Cloud
File Server and Storage Consolidation in the Cloud
 
Storage Cloud and Spectrum presentation
Storage Cloud and Spectrum presentationStorage Cloud and Spectrum presentation
Storage Cloud and Spectrum presentation
 
Iaas storage-170302090824
Iaas storage-170302090824Iaas storage-170302090824
Iaas storage-170302090824
 
Design - Building Cloud Object Storage Infastructure
Design - Building Cloud Object Storage InfastructureDesign - Building Cloud Object Storage Infastructure
Design - Building Cloud Object Storage Infastructure
 
Make a Move to AWS Now
Make a Move to AWS Now Make a Move to AWS Now
Make a Move to AWS Now
 
S ss0885 spectrum-scale-elastic-edge2015-v5
S ss0885 spectrum-scale-elastic-edge2015-v5S ss0885 spectrum-scale-elastic-edge2015-v5
S ss0885 spectrum-scale-elastic-edge2015-v5
 
S100293 hybrid-cloud-orlando-v1804a
S100293 hybrid-cloud-orlando-v1804aS100293 hybrid-cloud-orlando-v1804a
S100293 hybrid-cloud-orlando-v1804a
 

Similar to IWM DAMS

DAMbusters: IWM’s Mission to Design and Implement a Bespoke DAMS
DAMbusters: IWM’s Mission to Design and Implement a Bespoke DAMSDAMbusters: IWM’s Mission to Design and Implement a Bespoke DAMS
DAMbusters: IWM’s Mission to Design and Implement a Bespoke DAMSAxiell ALM
 
atp world tour archive - img replay and imagen ltd - Jones, Hunt
atp world tour archive - img replay and imagen ltd - Jones, Huntatp world tour archive - img replay and imagen ltd - Jones, Hunt
atp world tour archive - img replay and imagen ltd - Jones, HuntFIAT/IFTA
 
An Introduction to AtoM, Archivematica, and Artefactual Systems
An Introduction to AtoM, Archivematica, and Artefactual SystemsAn Introduction to AtoM, Archivematica, and Artefactual Systems
An Introduction to AtoM, Archivematica, and Artefactual SystemsArtefactual Systems - AtoM
 
AWS Sydney Summit 2013 - Scalable Media Processing on the Cloud
AWS Sydney Summit 2013 - Scalable Media Processing on the CloudAWS Sydney Summit 2013 - Scalable Media Processing on the Cloud
AWS Sydney Summit 2013 - Scalable Media Processing on the CloudAmazon Web Services
 
AWS Media and Entertainment Cloud Symposium: Broadcast and OTT
AWS Media and Entertainment Cloud Symposium:  Broadcast and OTTAWS Media and Entertainment Cloud Symposium:  Broadcast and OTT
AWS Media and Entertainment Cloud Symposium: Broadcast and OTTAmazon Web Services
 
LORENZ Building an integrated digital media archive and legal deposit
LORENZ Building an integrated digital media archive and legal depositLORENZ Building an integrated digital media archive and legal deposit
LORENZ Building an integrated digital media archive and legal depositFIAT/IFTA
 
Amazon Web Services and Interact - Workshop Giugno 2013
Amazon Web Services and Interact - Workshop Giugno 2013Amazon Web Services and Interact - Workshop Giugno 2013
Amazon Web Services and Interact - Workshop Giugno 2013Paolo latella
 
The Most Trusted In-Memory database in the world- Altibase
The Most Trusted In-Memory database in the world- AltibaseThe Most Trusted In-Memory database in the world- Altibase
The Most Trusted In-Memory database in the world- AltibaseAltibase
 
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWSAmazon Web Services
 
Overcoming Media Streaming Challenges with NoSQL
Overcoming Media Streaming Challenges with NoSQLOvercoming Media Streaming Challenges with NoSQL
Overcoming Media Streaming Challenges with NoSQLMarisaDelao3
 
Overcoming Media Streaming Challenges with NoSQL
Overcoming Media Streaming Challenges with NoSQLOvercoming Media Streaming Challenges with NoSQL
Overcoming Media Streaming Challenges with NoSQLScyllaDB
 
Multimedia Database
Multimedia Database Multimedia Database
Multimedia Database Avnish Patel
 
Location based VoD
Location based VoDLocation based VoD
Location based VoDAwais Shibli
 
Apriorit presentation 2018 Embedded + Cybersecurity
Apriorit presentation 2018 Embedded + CybersecurityApriorit presentation 2018 Embedded + Cybersecurity
Apriorit presentation 2018 Embedded + CybersecurityApriorit
 
AWS Summit 2013 | Auckland - Scalable Media Processing on the Cloud
AWS Summit 2013 | Auckland - Scalable Media Processing on the CloudAWS Summit 2013 | Auckland - Scalable Media Processing on the Cloud
AWS Summit 2013 | Auckland - Scalable Media Processing on the CloudAmazon Web Services
 
Scalable Media Workflows in the Cloud
Scalable Media Workflows in the CloudScalable Media Workflows in the Cloud
Scalable Media Workflows in the CloudAmazon Web Services
 
MLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision
MLOps journey at Swisscom: AI Use Cases, Architecture and Future VisionMLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision
MLOps journey at Swisscom: AI Use Cases, Architecture and Future VisionBATbern
 
Savare transforming a silo into modular services. The continuous evolution of...
Savare transforming a silo into modular services. The continuous evolution of...Savare transforming a silo into modular services. The continuous evolution of...
Savare transforming a silo into modular services. The continuous evolution of...FIAT/IFTA
 
CMG2013 Workshop: Netflix Cloud Native, Capacity, Performance and Cost Optimi...
CMG2013 Workshop: Netflix Cloud Native, Capacity, Performance and Cost Optimi...CMG2013 Workshop: Netflix Cloud Native, Capacity, Performance and Cost Optimi...
CMG2013 Workshop: Netflix Cloud Native, Capacity, Performance and Cost Optimi...Adrian Cockcroft
 
Unleash the Power of Video Communication - Office 365 Video vs. Azure Media S...
Unleash the Power of Video Communication - Office 365 Video vs. Azure Media S...Unleash the Power of Video Communication - Office 365 Video vs. Azure Media S...
Unleash the Power of Video Communication - Office 365 Video vs. Azure Media S...Gina Montgomery, V-TSP
 

Similar to IWM DAMS (20)

DAMbusters: IWM’s Mission to Design and Implement a Bespoke DAMS
DAMbusters: IWM’s Mission to Design and Implement a Bespoke DAMSDAMbusters: IWM’s Mission to Design and Implement a Bespoke DAMS
DAMbusters: IWM’s Mission to Design and Implement a Bespoke DAMS
 
atp world tour archive - img replay and imagen ltd - Jones, Hunt
atp world tour archive - img replay and imagen ltd - Jones, Huntatp world tour archive - img replay and imagen ltd - Jones, Hunt
atp world tour archive - img replay and imagen ltd - Jones, Hunt
 
An Introduction to AtoM, Archivematica, and Artefactual Systems
An Introduction to AtoM, Archivematica, and Artefactual SystemsAn Introduction to AtoM, Archivematica, and Artefactual Systems
An Introduction to AtoM, Archivematica, and Artefactual Systems
 
AWS Sydney Summit 2013 - Scalable Media Processing on the Cloud
AWS Sydney Summit 2013 - Scalable Media Processing on the CloudAWS Sydney Summit 2013 - Scalable Media Processing on the Cloud
AWS Sydney Summit 2013 - Scalable Media Processing on the Cloud
 
AWS Media and Entertainment Cloud Symposium: Broadcast and OTT
AWS Media and Entertainment Cloud Symposium:  Broadcast and OTTAWS Media and Entertainment Cloud Symposium:  Broadcast and OTT
AWS Media and Entertainment Cloud Symposium: Broadcast and OTT
 
LORENZ Building an integrated digital media archive and legal deposit
LORENZ Building an integrated digital media archive and legal depositLORENZ Building an integrated digital media archive and legal deposit
LORENZ Building an integrated digital media archive and legal deposit
 
Amazon Web Services and Interact - Workshop Giugno 2013
Amazon Web Services and Interact - Workshop Giugno 2013Amazon Web Services and Interact - Workshop Giugno 2013
Amazon Web Services and Interact - Workshop Giugno 2013
 
The Most Trusted In-Memory database in the world- Altibase
The Most Trusted In-Memory database in the world- AltibaseThe Most Trusted In-Memory database in the world- Altibase
The Most Trusted In-Memory database in the world- Altibase
 
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWS
 
Overcoming Media Streaming Challenges with NoSQL
Overcoming Media Streaming Challenges with NoSQLOvercoming Media Streaming Challenges with NoSQL
Overcoming Media Streaming Challenges with NoSQL
 
Overcoming Media Streaming Challenges with NoSQL
Overcoming Media Streaming Challenges with NoSQLOvercoming Media Streaming Challenges with NoSQL
Overcoming Media Streaming Challenges with NoSQL
 
Multimedia Database
Multimedia Database Multimedia Database
Multimedia Database
 
Location based VoD
Location based VoDLocation based VoD
Location based VoD
 
Apriorit presentation 2018 Embedded + Cybersecurity
Apriorit presentation 2018 Embedded + CybersecurityApriorit presentation 2018 Embedded + Cybersecurity
Apriorit presentation 2018 Embedded + Cybersecurity
 
AWS Summit 2013 | Auckland - Scalable Media Processing on the Cloud
AWS Summit 2013 | Auckland - Scalable Media Processing on the CloudAWS Summit 2013 | Auckland - Scalable Media Processing on the Cloud
AWS Summit 2013 | Auckland - Scalable Media Processing on the Cloud
 
Scalable Media Workflows in the Cloud
Scalable Media Workflows in the CloudScalable Media Workflows in the Cloud
Scalable Media Workflows in the Cloud
 
MLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision
MLOps journey at Swisscom: AI Use Cases, Architecture and Future VisionMLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision
MLOps journey at Swisscom: AI Use Cases, Architecture and Future Vision
 
Savare transforming a silo into modular services. The continuous evolution of...
Savare transforming a silo into modular services. The continuous evolution of...Savare transforming a silo into modular services. The continuous evolution of...
Savare transforming a silo into modular services. The continuous evolution of...
 
CMG2013 Workshop: Netflix Cloud Native, Capacity, Performance and Cost Optimi...
CMG2013 Workshop: Netflix Cloud Native, Capacity, Performance and Cost Optimi...CMG2013 Workshop: Netflix Cloud Native, Capacity, Performance and Cost Optimi...
CMG2013 Workshop: Netflix Cloud Native, Capacity, Performance and Cost Optimi...
 
Unleash the Power of Video Communication - Office 365 Video vs. Azure Media S...
Unleash the Power of Video Communication - Office 365 Video vs. Azure Media S...Unleash the Power of Video Communication - Office 365 Video vs. Azure Media S...
Unleash the Power of Video Communication - Office 365 Video vs. Azure Media S...
 

Recently uploaded

(NEHA) Bhosari Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(NEHA) Bhosari Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(NEHA) Bhosari Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(NEHA) Bhosari Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escortsranjana rawat
 
DNV publication: China Energy Transition Outlook 2024
DNV publication: China Energy Transition Outlook 2024DNV publication: China Energy Transition Outlook 2024
DNV publication: China Energy Transition Outlook 2024Energy for One World
 
Fair Trash Reduction - West Hartford, CT
Fair Trash Reduction - West Hartford, CTFair Trash Reduction - West Hartford, CT
Fair Trash Reduction - West Hartford, CTaccounts329278
 
Global debate on climate change and occupational safety and health.
Global debate on climate change and occupational safety and health.Global debate on climate change and occupational safety and health.
Global debate on climate change and occupational safety and health.Christina Parmionova
 
Top Rated Pune Call Girls Hadapsar ⟟ 6297143586 ⟟ Call Me For Genuine Sex Se...
Top Rated  Pune Call Girls Hadapsar ⟟ 6297143586 ⟟ Call Me For Genuine Sex Se...Top Rated  Pune Call Girls Hadapsar ⟟ 6297143586 ⟟ Call Me For Genuine Sex Se...
Top Rated Pune Call Girls Hadapsar ⟟ 6297143586 ⟟ Call Me For Genuine Sex Se...Call Girls in Nagpur High Profile
 
VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...
VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...
VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...Suhani Kapoor
 
VIP Call Girl mohali 7001035870 Enjoy Call Girls With Our Escorts
VIP Call Girl mohali 7001035870 Enjoy Call Girls With Our EscortsVIP Call Girl mohali 7001035870 Enjoy Call Girls With Our Escorts
VIP Call Girl mohali 7001035870 Enjoy Call Girls With Our Escortssonatiwari757
 
VIP Russian Call Girls in Indore Ishita 💚😋 9256729539 🚀 Indore Escorts
VIP Russian Call Girls in Indore Ishita 💚😋  9256729539 🚀 Indore EscortsVIP Russian Call Girls in Indore Ishita 💚😋  9256729539 🚀 Indore Escorts
VIP Russian Call Girls in Indore Ishita 💚😋 9256729539 🚀 Indore Escortsaditipandeya
 
Lucknow 💋 Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8...
Lucknow 💋 Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8...Lucknow 💋 Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8...
Lucknow 💋 Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8...anilsa9823
 
Greater Noida Call Girls 9711199012 WhatsApp No 24x7 Vip Escorts in Greater N...
Greater Noida Call Girls 9711199012 WhatsApp No 24x7 Vip Escorts in Greater N...Greater Noida Call Girls 9711199012 WhatsApp No 24x7 Vip Escorts in Greater N...
Greater Noida Call Girls 9711199012 WhatsApp No 24x7 Vip Escorts in Greater N...ankitnayak356677
 
##9711199012 Call Girls Delhi Rs-5000 UpTo 10 K Hauz Khas Whats Up Number
##9711199012 Call Girls Delhi Rs-5000 UpTo 10 K Hauz Khas  Whats Up Number##9711199012 Call Girls Delhi Rs-5000 UpTo 10 K Hauz Khas  Whats Up Number
##9711199012 Call Girls Delhi Rs-5000 UpTo 10 K Hauz Khas Whats Up NumberMs Riya
 
Cunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile Service
Cunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile ServiceCunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile Service
Cunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile ServiceHigh Profile Call Girls
 
(DIYA) Call Girls Saswad ( 7001035870 ) HI-Fi Pune Escorts Service
(DIYA) Call Girls Saswad ( 7001035870 ) HI-Fi Pune Escorts Service(DIYA) Call Girls Saswad ( 7001035870 ) HI-Fi Pune Escorts Service
(DIYA) Call Girls Saswad ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
2024: The FAR, Federal Acquisition Regulations - Part 27
2024: The FAR, Federal Acquisition Regulations - Part 272024: The FAR, Federal Acquisition Regulations - Part 27
2024: The FAR, Federal Acquisition Regulations - Part 27JSchaus & Associates
 
VIP Call Girls Service Bikaner Aishwarya 8250192130 Independent Escort Servic...
VIP Call Girls Service Bikaner Aishwarya 8250192130 Independent Escort Servic...VIP Call Girls Service Bikaner Aishwarya 8250192130 Independent Escort Servic...
VIP Call Girls Service Bikaner Aishwarya 8250192130 Independent Escort Servic...Suhani Kapoor
 
(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service
(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service
(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
How the Congressional Budget Office Assists Lawmakers
How the Congressional Budget Office Assists LawmakersHow the Congressional Budget Office Assists Lawmakers
How the Congressional Budget Office Assists LawmakersCongressional Budget Office
 

Recently uploaded (20)

Call Girls In Rohini ꧁❤ 🔝 9953056974🔝❤꧂ Escort ServiCe
Call Girls In  Rohini ꧁❤ 🔝 9953056974🔝❤꧂ Escort ServiCeCall Girls In  Rohini ꧁❤ 🔝 9953056974🔝❤꧂ Escort ServiCe
Call Girls In Rohini ꧁❤ 🔝 9953056974🔝❤꧂ Escort ServiCe
 
(NEHA) Bhosari Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(NEHA) Bhosari Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(NEHA) Bhosari Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(NEHA) Bhosari Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
 
DNV publication: China Energy Transition Outlook 2024
DNV publication: China Energy Transition Outlook 2024DNV publication: China Energy Transition Outlook 2024
DNV publication: China Energy Transition Outlook 2024
 
Fair Trash Reduction - West Hartford, CT
Fair Trash Reduction - West Hartford, CTFair Trash Reduction - West Hartford, CT
Fair Trash Reduction - West Hartford, CT
 
Global debate on climate change and occupational safety and health.
Global debate on climate change and occupational safety and health.Global debate on climate change and occupational safety and health.
Global debate on climate change and occupational safety and health.
 
Top Rated Pune Call Girls Hadapsar ⟟ 6297143586 ⟟ Call Me For Genuine Sex Se...
Top Rated  Pune Call Girls Hadapsar ⟟ 6297143586 ⟟ Call Me For Genuine Sex Se...Top Rated  Pune Call Girls Hadapsar ⟟ 6297143586 ⟟ Call Me For Genuine Sex Se...
Top Rated Pune Call Girls Hadapsar ⟟ 6297143586 ⟟ Call Me For Genuine Sex Se...
 
VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...
VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...
VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...
 
VIP Call Girl mohali 7001035870 Enjoy Call Girls With Our Escorts
VIP Call Girl mohali 7001035870 Enjoy Call Girls With Our EscortsVIP Call Girl mohali 7001035870 Enjoy Call Girls With Our Escorts
VIP Call Girl mohali 7001035870 Enjoy Call Girls With Our Escorts
 
VIP Russian Call Girls in Indore Ishita 💚😋 9256729539 🚀 Indore Escorts
VIP Russian Call Girls in Indore Ishita 💚😋  9256729539 🚀 Indore EscortsVIP Russian Call Girls in Indore Ishita 💚😋  9256729539 🚀 Indore Escorts
VIP Russian Call Girls in Indore Ishita 💚😋 9256729539 🚀 Indore Escorts
 
Lucknow 💋 Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8...
Lucknow 💋 Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8...Lucknow 💋 Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8...
Lucknow 💋 Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8...
 
Greater Noida Call Girls 9711199012 WhatsApp No 24x7 Vip Escorts in Greater N...
Greater Noida Call Girls 9711199012 WhatsApp No 24x7 Vip Escorts in Greater N...Greater Noida Call Girls 9711199012 WhatsApp No 24x7 Vip Escorts in Greater N...
Greater Noida Call Girls 9711199012 WhatsApp No 24x7 Vip Escorts in Greater N...
 
##9711199012 Call Girls Delhi Rs-5000 UpTo 10 K Hauz Khas Whats Up Number
##9711199012 Call Girls Delhi Rs-5000 UpTo 10 K Hauz Khas  Whats Up Number##9711199012 Call Girls Delhi Rs-5000 UpTo 10 K Hauz Khas  Whats Up Number
##9711199012 Call Girls Delhi Rs-5000 UpTo 10 K Hauz Khas Whats Up Number
 
How to Save a Place: 12 Tips To Research & Know the Threat
How to Save a Place: 12 Tips To Research & Know the ThreatHow to Save a Place: 12 Tips To Research & Know the Threat
How to Save a Place: 12 Tips To Research & Know the Threat
 
Cunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile Service
Cunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile ServiceCunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile Service
Cunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile Service
 
Rohini Sector 37 Call Girls Delhi 9999965857 @Sabina Saikh No Advance
Rohini Sector 37 Call Girls Delhi 9999965857 @Sabina Saikh No AdvanceRohini Sector 37 Call Girls Delhi 9999965857 @Sabina Saikh No Advance
Rohini Sector 37 Call Girls Delhi 9999965857 @Sabina Saikh No Advance
 
(DIYA) Call Girls Saswad ( 7001035870 ) HI-Fi Pune Escorts Service
(DIYA) Call Girls Saswad ( 7001035870 ) HI-Fi Pune Escorts Service(DIYA) Call Girls Saswad ( 7001035870 ) HI-Fi Pune Escorts Service
(DIYA) Call Girls Saswad ( 7001035870 ) HI-Fi Pune Escorts Service
 
2024: The FAR, Federal Acquisition Regulations - Part 27
2024: The FAR, Federal Acquisition Regulations - Part 272024: The FAR, Federal Acquisition Regulations - Part 27
2024: The FAR, Federal Acquisition Regulations - Part 27
 
VIP Call Girls Service Bikaner Aishwarya 8250192130 Independent Escort Servic...
VIP Call Girls Service Bikaner Aishwarya 8250192130 Independent Escort Servic...VIP Call Girls Service Bikaner Aishwarya 8250192130 Independent Escort Servic...
VIP Call Girls Service Bikaner Aishwarya 8250192130 Independent Escort Servic...
 
(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service
(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service
(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service
 
How the Congressional Budget Office Assists Lawmakers
How the Congressional Budget Office Assists LawmakersHow the Congressional Budget Office Assists Lawmakers
How the Congressional Budget Office Assists Lawmakers
 

IWM DAMS

  • 1. DAMbusters: IWM’s mission to design and implement a bespoke DAMS 15 September 2017 Emily Dodd, Head of Collections Development & Information Rosie Forrest, Collections Systems Manager Rob Tyler, IT Infrastructure Manager (DAMS)
  • 2. Overview Our digital assets, and how we use them Why we need a DAMS – and why an Axiell DAMS Commissioning the DAMS development Phases 1 and 2 of IWM’s DAMS project Infrastructure, migration, technical aspects Your DAMS projects?
  • 3. Over 535,000 assets and 500TB so far: 4,000 film scan masters 450TB (DPX) 93,000 audio masters 10TB (WAV) 380,000 image masters 10TB (TIFF) Over 58,000 access versions/ renditions 30TB of renditions (PRORES, MPEG, Flash, MP3, JPEG) But this is increasing daily: • “7000 Project” for films generates 10TB per month • Videotape scanning project will generate 900TB over four years • Ongoing born-digital acquisition Our digital assets
  • 4. Born-digital • Official film and photographs from MOD under the PRA • Portraits and film captured by our staff • Sound interviews • Video and mixed media artworks Digitised • Images of collections objects • Scanned documents • Optimised photographs • Digitised sound and video for preservation How we acquire digital assets
  • 5. How we use digital assets Commercial • TV programme and documentary makers • Film studios • Direct sales: image and film • Publishing, licensing and brand Research • Staff use • Members of the public – remote access, digital copying • Specialist and academic researchers • Supporting collections management: condition, hazard etc Access • Embedded in exhibitions and audio-visual displays  IWM website & Collections Online (6.2 million visits in 2016-17) • Digital delivery of copies
  • 7. For the same reasons that we have secure stores, display spaces and shops: • Preservation • Access • Commercial (c£900k income pa) • Evidencing we meet ISO 16363 (key for retaining our public record deposits and ensuring stakeholders can be sure our digital preservation capability is fit for purpose) So we need a DAMS….
  • 8. • We wanted a DAMS that was responsive to museums’ needs, not just commercial needs • We knew Axiell understood IWM’s challenges and infrastructure • Adlib is one of our core corporate systems • We needed reliable, future-proof Adlib integration • We’ve successfully commissioned bespoke Axiell development in the past • Simplicity – one key supplier Why an Axiell DAMS?
  • 9. IWM Emily Dodd Budget and management assurance Rosie Forrest Technical specs, Adlib integration, user comms Rob Tyler Infrastructure, technical specs, storage forecasting David Walsh Film expertise and voice of the end-user Axiell Alex Fell Project management and client comms Ryan Martin, Joanna Preston, Dan Moran, Christ Hagenaars, Giuseppe Davies, Ian Brown – the Development team Our project team
  • 10. Specification Detailed technical requirements Started Dec 2015 User consultation and wish-list Phase 1 Proof of concept – still image ingest Live Nov 2016 Technical database and UX Getting enough technical data to manage assets Phase 2 Major advance - Time-based media ingest Live April 2017 All jobs run on servers, not on user’s PC Phase 3 Refinements - Improved user experience for ingest In progress! Improved asset retrieval Audit and manage stored assets Additional functions from our “nice to have” list Project summary
  • 11. Specification  Digital preservation  Integrate with existing systems and infrastructure  Automated batch ingest  Easy but secure access to media  Easy to use, monitor and upgrade
  • 12. © IWM (ART LD 2320)
  • 13. UMID = Unique Material Identifier Network ► server ► volume ► YYYY ► MMDD ► HHMM ► UMID ► filename.type 0x060A2B340101010201010F12130000006DFAD8174478DE39000000155D065A03 Universal Label Material Number Time/ Date Coordinates Org/ User
  • 14. Technical database as UMID translator Input UMID to http service Returns basic XML showing filepath
  • 15. Adlib servers Object record Keywords Person names Places Descriptions Dates Collections How a search returns an image Adlib API Firewalls Adlib servers Object record Keywords Person names Places Descriptions Dates Collections Conservation Location Exhibition Management Acquisition Entry How a search returns an image Adlib API Image reference Firewalls Adlib servers Media record Metadata Version Master UMID Ingest data Rendition UMIDS Object record Keywords Person names Places Descriptions Dates Collections Media type Image reference Rendition type Conservation Location Exhibition Management Acquisition Entry Quality How a search returns an image Adlib API Image reference Firewalls Adlib servers Media record Adlib API Metadata Version Master UMID Ingest data Rendition UMIDS Object record Keywords Person names Places Descriptions Dates Collections Media type Image reference Rendition type Conservation Location Exhibition Management Acquisition Entry Quality How a search returns an image Adlib API Image reference Firewalls Adlib servers DAMS servers Media record Adlib API Metadata Version Master UMID Ingest data Rendition UMIDS Object record Keywords Person names Places Descriptions Dates Collections Media type Media service record UMIDFile path Image reference Rendition type Metadata Conservation Location Exhibition Management Acquisition Entry Quality How a search returns an image Adlib API Image reference Firewalls Adlib servers DAMS servers Media record Adlib API Metadata Version Master UMID Ingest data Rendition UMIDS Object record Keywords Person names Places Descriptions Dates Collections Media type Media service record UMIDFile path Image reference Rendition type FILE Metadata Conservation Location Exhibition Management Acquisition Entry Quality How a search returns an image Adlib API Image reference Firewalls
  • 16. Adlib servers DAMS servers Media record Adlib API Metadata Version Master UMID Ingest data Rendition UMIDS Object record Keywords Person names Places Descriptions Dates Collections Media type Media service record UMIDFile path Image reference Rendition type FILE Metadata Conservation Location Exhibition Management Acquisition Entry Quality How a search returns an image Adlib API Image reference Firewalls Context Usability Delivery
  • 17. Multiple assets and version control Master showing colour bar Optimised and ready to use © IWM (EPH 8310)
  • 19. © IWM (Q 5717)
  • 20. Transcoding for access ProRes Master = 20516 MB Mpeg = 862 MB Quicktime = 82 MB Flash = 29 MB
  • 21. Data formats TIFF JPEG WAV MP3 ProRes Mpeg Flash* MP4 (HTML5)DPX Image Audio Moving image MXF
  • 22. © IWM (Art LD 3024)
  • 23. Ingest user interface … a work in progress!
  • 24. Visualisation UI … also still in development  © IWM (Art.IWM ART 17050) Development to be continued!
  • 25. Asynchronous microservices DAMS servers Storage servers User processes Original storage Database servers Ingest UI START Visualisation UI END FileIngest service Storage service Metadata extraction service Database interaction service File Adlib API Adlib Transcode service Video transcoders Audio transcoders Image transcoders Rendition Rendition Rendition
  • 26. “…keeping digital material alive so that they remain usable as technological advances render original hardware and software specification obsolete.” Harrods Librarian Glossary via Wikipedia Digital preservation  Storage data is abstracted  Files are read-only  Easy to upgrade/ add modules  Transcoding for renewed formats
  • 27.  Phase 3 of our Axiell DAMS project is just starting  Audit/ checksum comparison tool  Enhanced transcode capability  Delete unwanted renditions or duplicate media  Improved user interfaces  Better access to media What’s next for IWM
  • 28. © IWM (D 3151)  How will the data and assets be used?  Minimise write access  Understand your server infrastructure  What formats do you need to support?  Define a clear data standard  Ask users what they want  Plan for expansion Where to start

Editor's Notes

  1. Emily Today we want to share our experiences of commissioning Axiell to develop and build a bespoke DAMS for us. I will be telling you about who we are, our analogue and digital holdings, why the right DAMS is so important to us and how the project started, then I will hand over to Rosie and Rob for their technical expertise and more information about how we handle our digital assets.
  2. Emily Alongside the analogue collections we have over half a million digital assets, mostly images. This doesn’t include back ups and duplicates. Though we have fewer film files in number, they are by far the largest files and we have several current projects which are adding to this at a fairly steady rate.
  3. Emily We acquire our born-digital assets in exactly the same ways as our analogue items: Many of them from MOD as official deposits which are public records, or from service personnel and civilians, so it can come in all sorts of formats including head cam and mobile phone footage. We have teams of staff , who take portrait images, create video footage and record sound interviews, and we collect some video and mixed media art works. As well as the born digital assets we are also continually digitising parts of our collections for access and preservation.
  4. Emily And we use these digital assets, both digitised and born-digital, in support of all of our objectives and across all our commercial and non-commercial enterprises.
  5. Emily Most of all, having a DAMS enables people like me to retrieve our digital assets to illustrate our collection. Rosie will talk through the technical details of the formats and renditions that we hold, but I wanted an excuse to show one of the quirkier short films that we have. This is a Second World War Ministry of Information newsreel film which encouraged the public to walk short distances instead of taking up much-needed space on public transport. I hope you enjoy it NPB 13536 AGAG [Main Title] George the"transport hog"
  6. Emily So to manage all these assets, and enable us to make use of them, we need a reliable DAMS. We need to be able to preserve our collections and make them accessible. On top of that, our film and image sales are a key part of our income stream, so the DAMS isn’t just nice to have, it’s business critical. Just as we comply with external standards in our physical collections stores, we need to comply with the relevant standards for our digital storage - in this case ISO 16 363, so that we can prove to stakeholders that we are a suitable repository.
  7. Emily There was no question that we needed a DAMS. We already had a DAMS in place, since about 2008, but we were increasingly finding that we needed a more configurable and integrated solution. Naturally we turned to Axiell as the bespoke systems development projects we have done with them in the past have been successful and Adlib is our central collections management system. We had reached a point of stability in understanding exactly what we needed, as well as investing in systems and infrastructure expertise. For me as the budget holder for both systems, having one supplier and a fully integrated solution was ideal. Will talk more about the project management aspects later
  8. Emily We put together a small team at our end and benefitted from an excellent team under Alex’s management, which was the first time we’d done a project like this with the UK office instead of Maarssen. The team planned the time to come to our site, understand our specs and learn exactly what we needed and how it would be used.
  9. Emily, and hand over to Rosie We started planning in December 2015, with a long period of specification where we did a detailed assessment of what we needed and wanted, and testing the first tools ready for phase 1. Phase 1 was all about building the core of the system and testing it with easier tasks, the ingest and transcoding of still images. This gave us proof of concept, and the confidence that a bespoke system would work. Phase 2 was a bigger challenge of time-based media, that’s sound and video, and about scaling the system up to deal with larger files and bigger projects. Phase 3 will be about refining our workflows based on months of experience using the system for live ingest, and securing long term sustainability for the system and our digital processes. And I’m going to hand over to Rosie to tell you more about each phase and how the system works
  10. Rosie I’m not going to talk about the project but the system Here are the key technical specifications we worked to at IWM Digital preservation Integrate with existing systems and infrastructure Automated batch ingest Easy but secure access to media Easy to use, monitor and upgrade Today’s audience is a mix of the very experienced and those just starting out their DAMS projects so I’ll explain the core concepts of DAMS that allowed us to meet these needs
  11. Rosie For me it was important to understand the difference between: Digital Asset Management - which could in theory be a nice filing system and neat data standard Digital Asset Management Systems – which provides that nice filing and data standard, but using machine processes and automated workflows I had to learn how to trust my system – I don’t want to be in the control room, I just want to see the outcome. We couldn’t integrate it, meet digital preservation needs, or deal with the volume of data that we have without automating a lot of processes.
  12. Rosie One of the ways we have arranged our assets to be more machine-friendly is the UMID UMID - “unique material identifier” – is a long string of characters providing a unique reference to every file It is not very human friendly Globally unique SMPTE standard Some embedded meaning of unique codes and file characteristic information But essentially we treat it as a “dumb” identifier Allows a machine to handle filing for me The UMID is present in all database records relating to the file And the UMID is embedded in the filepath But we maintained a human-friendly filename A readable and relevant filename makes export much easier
  13. Rosie But how do I get a file from a UMID? Using the technical database – we call ours MediaService A simple data structure matching UMID to filepath - a “UMID translator” Keep file storage data separate from everything else eg. usability data Accessible via HTTP lookup – returns basic XML containing a filepath Give an API the HTTP address and UMIDs = automated file delivery Users only get the UMID via appropriate database and API access Which we already have in place to protect our data Cannot extrapolate file location (via UMID or other context) Other benefits of keeping storage data separate - later
  14. Rosie Sounds complicated – how does this work in practice? When we search for an image or digital copy of the collections, we might search by description, keyword, creator, title... etc. A digital asset is not much use if we don’t know what it depicts. A data request from the Adlib API gets this info from object catalogue data. Internal link between objects catalogue and media catalogue In media catalogue we store descriptive and accountability data about the asset, plus the UMIDs Another instance of the Adlib API filters the media record for an appropriate version and picks that UMID API sends single UMID off to the technical database …where we can get the actual file-path …and the system can serve the appropriate media to the requester
  15. Rosie In summary, we link: Context: what does the asset show and how is it important and appropriate Usability: Can I play/ print this file – or a version of it Delivery: securely serve up the file Link between context and usability in this way means no duplication of effort in adding contextual data that make our digital assets meaningful Any user wanting to access a file (for whatever reason not just web) can only get it if the Adlib database and API let them So we can ensure each service is only getting the data it needs to deliver appropriate file
  16. Rosie Each object catalogue record can have more than one asset attached Each with its own media catalogue record We might have multiple versions of the same asset eg: the original photo and a cropped and optimised version
  17. Rosie Or different views or pages
  18. Rosie Or a raw scan showing a glass negative in an original and untouched state, plus and a cleaned, adjusted version ready for display or commercial use. For each asset, a media record holds usability data: Version and quality data help us see how that file is ready to use. Technical metadata helps us choose the best file – maybe the biggest, or the most recent, or a particular format. Metadata is extracted or generated at ingest using MediaInfo
  19. Rosie Something else that happens at ingest is transcoding This shows a 10 minute film and its access copies The Master is 23x bigger than the Mpeg… Each rendition is a direct copy of the original in a widely supported and generally smaller format For ease of access And to reserve our original quality high-resolution assets for authorised use only The process of making these copies is Transcoding Each rendition file is assigned its own UMID at creation This UMID data is stored as a sub-group of the main Adlib media record It can be accessed in the same way and we can use the API to select the best rendition per service
  20. Rosie Our data formats and renditions (DPX = digital picture exchange) We use FFMPEG Open source, with plenty of guidance available online Uses a string of commands to produce an output file Lots of options and filters Axiell help us to set up our core commands We can easily change these as our needs develop… …simply by updating the command in a text editor Bit fiddly, very flexible
  21. Rosie That’s quite a lot happening at ingest – how do we manage it all? Machine workflows for setting metadata and transcode rules Mapping key data about the file to Adlib fields Here’s the Phase 1 config builder – to be improved! Set transcode rules – what copy or copies do I want Set field mapping rules Regular Expressions, uses patterns in the filename to find the matching Adlib collections object record Apply these rules to batch of files
  22. Rosie Here’s what it looks like. Step through slide versions of ingest UI on a batch of files. I open ingest tool and add the folder where my files are batched The files load in the preview window I select a ruleset that contains metadata and transcode rules The ruleset uses regular expressions to test my filenames against Adlib data – does an object number exist for this file? I’ve removed some of the columns – you can still see some of the data preview of what will be written to Adlib What about if the regular expression didn’t match? I can un-hide those items I can actually edit those items too, and change the data before it goes into Adlib So now I can start ingest And go straight to the visualisation tool to see job messages as they complete
  23. Rosie Step through slide versions of visUI in action Screenshot of the report my user gets when they submit a job And progressions as that report develops A message back from each part of the system as it completes or errors No linear sequence of messages but the visualiser helps to categorise them Phase 3 will refine this
  24. Rosie Here’s what’s happening after I send the initial messages: We have the ingestUI and visualiser. Here’s that one message we sent, and all the little messages we got back. The ingest service splits messages off to each module telling them which rules apply to which files, and each part of the system reports back when done. They can all be working at once on different files, jobs, rules – asynchronous. When Axiell built this system, the idea was that each aspect of ingest could be handled separately, so that if we ever needed to upgrade, change or add a service, it would be much easier than picking apart one bulky process. It can also be scaled across multiple servers. eg. a new transcode server is coming soon to share that part of the load. This system will support our long term expansion.
  25. Rosie I’ve covered getting data out of the system, getting data in – what about ongoing maintenance of that data once it is in? A nice quote from Wikipedia which puts it very concisely! Here’s how the data structures and processes support our infrastructure needs, which in turn support many digital preservation requirements. Storage data is abstracted from content and use data (tech db) Tech db makes it easy to migrate to new hardware – single point of data change Quickly identify all files at any location Even if file use data changes, the UMID is consistent Files are read-only as machine storage = No need for human interference with stored files As files are stored read-only, backup rarely changes We can easily add new modules We can re-transcode as new formats are needed
  26. Rosie Here’s what’s next for us: We’ll look at long term management of stored assets as our infrastructure evolves. So phase 3 will include audit tools including testing checksums. We’ll need to re-transcode assets into more modern formats. We might want to delete unwanted renditions or duplicate media. We’ll always want to obtain statistics on the collection. We’ll be working with Axiell to improve the user interfaces I’d like to improve the way media is accessed for download and viewing Overall happy with my system – what about yours?
  27. Rosie Emily and co will give the project management story for our DAMS I can give some tips from the system administrator technical development POV when beginning a DAMS project: How will the data and assets be used? – within the system and by other platforms – and how will those platforms access the media? Make use of APIs for integrating, sharing, cross-referencing data Who needs to access the data? Modify the data? What does my server infrastructure look like? How are backups managed? Choose stable formats for preservation and simple formats for access Understand data hierarchy for versions and access copies Design and control data standards Ask users! Build friendly and linear user processes Consider feedback and error reporting Plan for expansion
  28. Cat pic 