canalizing the maelstrom of metadata - extensions on the hourglass model
TRANSCRIPT
Canalizing the maelstrom of metadata: extensions on the Hourglass Model
Brecht Declercq, VIAA, Belgium
CCAAA – Joint Technical SymposiumSingapore, 07.03.2016
A theoretical frameworkfor developing strategies
for the creation and useof (descriptive) metadata
1. What is the Hourglass Model?
Linked dataUser generated metadata
Automatically extracted metadata
Preservation metadata
Descriptive metadata
etc ...
Production metadata?Linked metadata
CREATIONLEVEL
PROCESSINGLEVEL
PURPOSELEVEL
The Hourglass Model
CREATIONLEVEL
PROCESSINGLEVEL
PURPOSELEVEL
USERGENERATEDMETADATA
AUTOMATICALLYGENERATEDMETADATA
PRODUCTION METADATA
FULLMANUAL
METADATA
PRESERVATION &COLLECTION
MANAGEMENT
ENHANCEMENT&
CONTEXTUALISATION
SEARCH &
RETRIEVAL
The Hourglass Model
CREATIONLEVEL
PROCESSINGLEVEL
PURPOSELEVEL
USERGENERATEDMETADATA
AUTOMATICALLYGENERATEDMETADATA
PRODUCTION METADATA
FULLMANUAL
METADATA
PRESERVATION &COLLECTION
MANAGEMENT
ENHANCEMENT&
CONTEXTUALISATION
SEARCH &
RETRIEVAL
The Hourglass Model
CREATIONLEVEL
PROCESSINGLEVEL
PURPOSELEVEL
USERGENERATEDMETADATA
AUTOMATICALLYGENERATEDMETADATA
PRODUCTION METADATA
FULLMANUAL
METADATA
PRESERVATION &COLLECTION
MANAGEMENT
ENHANCEMENT&
CONTEXTUALISATION
SEARCH &
RETRIEVAL
The Hourglass Model
CREATIONLEVEL
PROCESSINGLEVEL
PURPOSELEVEL
USERGENERATEDMETADATA
AUTOMATICALLYGENERATEDMETADATA
PRODUCTION METADATA
FULLMANUAL
METADATA
PRESERVATION &COLLECTION
MANAGEMENT
ENHANCEMENT&
CONTEXTUALISATION
SEARCH &
RETRIEVAL
The Hourglass Model
2. Extending the model
Recent developments: Further integration with production systems New approaches: e.g. scan & OCR tape boxes
1. Metadata from production
- collaboration of producers often needed! almost only for contemporaryborn digital content
+ cheap high quality quick high level of detail
1. Metadata from production
2. User generated metadata
Recent developments: Diversification: from low tech to high tech New approaches: consumer generated metadata
from ‘conscious’ to ‘unconscious’ metadata
ARCHIVEBROADCAST
TARGET GROUP
EDUCATION
TARGET GROUP
RESEARCH
TARGET GROUP
GENERALAUDIENCE
MEDIA VALUE CHAIN: METADATA FLOWFROM USER GENERATED METADATA TO CONSUMER GENERATED METADATA
FIRST PURPOSE RE-PURPOSEARCHIVE
BROADCASTER BUSINESS INTELLIGENCE ARCHIVE BUSINESS INTELLIGENCE
- reliability? IPR issues labour intensity - net gains? subjective sustainable?
+ very cheap high quality public involvement with your collection!
2. User generated metadata
3. Automatically generated metadataRecent developments: Ever more cases in daily practice
3. Automatically generated metadataRecent developments: New approaches: SaaS
- high tech quality? interface? system architecture integration?
+ cheap quick high level of detail objective
3. Automatically generated metadata
3. Implementing the Model
CREATIONLEVEL
PROCESSINGLEVEL
PURPOSELEVEL
Evolutions : starting pointFULL
MANUALMETADATA
PRESERVATION &COLLECTION
MANAGEMENT
SEARCH &
RETRIEVAL
CREATIONLEVEL
PROCESSINGLEVEL
PURPOSELEVEL
Evolutions : 1st MAM implementationFULL
MANUALMETADATA
PRESERVATION &COLLECTION
MANAGEMENT
SEARCH &
RETRIEVAL
PRODUCTION METADATA
ENHANCEMENT&
CONTEXTUALISATION
PRODUCTION METADATA
USERGENERATEDMETADATA
AUTOMATICALLYGENERATEDMETADATA
CREATIONLEVEL
PROCESSINGLEVEL
PURPOSELEVEL
FULLMANUAL
METADATA
PRESERVATION &COLLECTION
MANAGEMENT
SEARCH &
RETRIEVAL
The Hourglass Model
A NEW METADATA CREATION AND USE STRATEGY: Institutionally: new relations with the world outside Organisationally: new roles, structures, competencies Technically: new systems, new architectures
organisationalinstitutionalTechnical“open, smart and connected”
[J. Oomen]
Institutional
MORE OPENNESS AT THE INPUT, E.G. USER AS METADATA CREATOR
MORE OPENNESS AT OUTPUT: E.G. LINKING COLLECTIONS, (OPEN) API’S
Organisational
NEW TECHNICAL AND INSTITUTIONAL POSSIBILITIES
NEW USERS / TARGET GROUPSNEW NEEDS / DEMANDS
DECI
SIO
N M
AKIN
G
PRO
CESS
MAN
AGEM
ENT
QUA
LITY
CHE
CKIN
G
RECO
GNIZ
E &
CO
NN
ECT
MET
ADAT
A M
ANAG
ER
Technical
MAMs AND ESB’S ARE NOT DEAD
(c) Dinah Handel, CUNY
SOLID STANDARDS, FLEXIBLE CONNECTIONS
GRADUAL SYSTEM ADAPTATIONS
RAPIDLY EVOLVING TECHNOLOGY
EVER MORE EXTERNAL CONNECTIONS
Technical
4. Conclusion
A future-proof frameworkfor helping AV archives
to allow their metadata strategyto evolve
