It's all about data! Media Management & Information Management at NISV (MANDERS and VAN ARKEL)
•Als PPTX, PDF herunterladen•
0 gefällt mir•280 views
FIAT/IFTA World Conference 2017 Mexico City
Empfohlen
Empfohlen
Weitere ähnliche Inhalte
Ähnlich wie It's all about data! Media Management & Information Management at NISV (MANDERS and VAN ARKEL)
Ähnlich wie It's all about data! Media Management & Information Management at NISV (MANDERS and VAN ARKEL) (20)
Mehr von FIAT/IFTA
Mehr von FIAT/IFTA (20)
Kürzlich hochgeladen
Kürzlich hochgeladen (20)
It's all about data! Media Management & Information Management at NISV (MANDERS and VAN ARKEL)
- 1. It’s all about data! Media Management & Information Management @ The Netherlands Institute for Sound and Vision Tim Manders tmanders@beeldengeluid.nl
- 4. 2014: Embedding thesauri at the broadcasters
- 5. Optimisation2015: Introducing the Optimisation Media Manager Vienna
- 6. Title Summary Cast & Crew Speakers Performers Locations Subjects Segments Identified basic set of needed metadata
- 7. A B C Thesaurus label Extraction Speaker Labeling Facial Recognition Automatic Annotation services
- 8. 2016: Wild orgy between production & automatic metadata Warsaw
- 9. Crash course Media Management • Let others do the work • Let the thesaurus do the work • Let the computer do the work • Let’s do it together
- 10. Quantity & Quality Of DEscrIPTIVE mETATA
- 14. Information Management House blueprint I Information Governance Information Architecture Data Quality Reference & Master Data Data Warehouse Metadata Assets Data about Data Information Security Management People Technology
- 15. Strategy & Policies Architectures, Processes, Models, Analyses Ingest compliance checks, Metadata cleansing, Automation Thesaurus Management Reporting & Analyses Database operations Management Content / Files Management Dictionaries, Glossaries, Labels, Definitions, Manuals Permissions & Restrictions People Technology Information Management House blueprint II
- 16. How do we stay compliant & relevant? Who does what, when, how & why? How to get good (enough) data? What are the definitions that make us understand our data? How do we secure (access to) information? People Technology How to achieve (open) access & interoperability? How to make informed decisions based on analyses? How to maintain & support databases & records? How are the files managed? Information Management House blueprint III
- 17. How do we stay compliant & relevant? Who does what, when, how & why? How to get good (enough) data? What are the definitions that make us understand our data? How do we secure (access to) information? People Technology How to achieve (open) access & interoperability? How to make informed decisions based on analyses? How to maintain & support databases & records? How are the files managed? Media Management rooms in house
- 18. Broadening of scope Information Governance Information Architecture Data Quality Reference & Master Data Data Warehouse Metadata Assets Data about Data Information Security Management People Technology
- 19. We are moving in …
Hinweis der Redaktion
- Tim / Since a few years I’m part of Optimisation team within the Archive
- Optimisation team since 2017 is part of a new information management department that has to deal with all information, not just program descriptions We are moving into a NEW house with more furniture than only descriptive metadata. Second part of presentation = tour through new Information Management mansion (under construction)
- Look back at our last 3 FIATs world conference presentations!
- Instead of structuring metadata manually, post-ingest, we embedding our thesaurus in broadcasters source system for persons Result: uniform thesaurus labels that pinpoint relevant access point into collection items and also make these items linkable to other items, collections withing or outside our institute.
- introduced the work of the new department of Optimisation Media Managers, bridging two gaps. First the gap between the production environment and the archive.
- We agreed with the broadcasters which information they have to supply at ingest to make assets findable. Title, summary, cast/crew
- 2. Second the internal gap between the prototype world of R&D and operational heart of the archive: Together we hooked up speaker labeling and term extraction to our MAM and apply it on our daily ingest. Now we are working on implementing facial recognition.
- In 2016 then, we presented dreams about production metadata and automatically generated metadata validating each other.
- Media Management in a nutshell has 4 ingredients 1: If you cannot automate it, don’t do it yourself if you don’t have to (and metadatais created earlier on in production-archiving chain) 2: Use a thesaurus to structure metadata (makes the metadata uniform + linkable) 3. Automatic annotation, for two reasons. 1. To fill metadatagap 2. To achieve more finegrained access on a segment level 4. Combine efforts: concretely use production metadata to validate automatic metadata. Or combine different techniques.
- Metadata is complete but we should check assumptions on needed fields on analytics on actual search behaviour
- House ]currently is just a blueprint We use it to check what aspects according to us define information management What areas we can tackle as a department and what areas we have to share with others or totally have to rent out rooms in the house because there is more expertise elsewhere what are new areas of knowledge we have to explore, grow and professionalise
- House is walled in by people and systems It’s flooring plan is divided into a few layers: On top the overarching roof of information governance. This is where is formalised how policies and strategies are being created or updated. The information architecture layer is the level where processes & models are designed according to the policies & chosen standards that trickle down from the roof Then we see a layer with multiple rooms: core activities / The heart of operation The layer ‘data about data’: there where meta-definitions (glossaries or dictionaries) are being safeguarded. We need them to understand our data and it’s context better The information security management layer in the end: that’s where it is arranged if, where and when information can be accessed and by whom, and ounder what conditions.
- MM involves itself mostly with two blocks in the operational heart of the house: quality of metadata in terms of accuracy and completeness and strucuturing metadata via the thesaurus to make it uniform and linkable
- New for our department is mostly the data warehouse block. We are exploring what we can do with business & customer intelligence tools and analyses. An advantage of this framework also lies in the visualisations of the vertical connections: need to constantly check impact of new developments on all level