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Towards an Infrastructure of
Migration


                               Dirk Roorda
• .
History of MIXED
•   history
•   defining
•   developing
•   using
•   exploiting
what is it?
MIXED is a file format converter



plus a set of formats, called SDFP, i.e.
  Standard Data Formats for Preservation
founding idea
National Archive (NL): testbed
testbed: spreadsheets
XML is an appropriate choice for the
long-term preservation of
spreadsheets. XML can be used to
specify the context, content and
structure of spreadsheets.
testbed: databases
At present, XML is the most
effective strategy for the
durable preservation of
databases. XML is highly
capable of representing the
context, content, and structure
of databases.
This strategy can
implemented using a number
of different methods.
what do repositories want
 Conversion to preservable formats.
      Automatically
       at most once




                            Faithfully.
preservation strategy
Migration and emulation are complementary
strategies. Migration is best for offering
usable content. Emulation is best for
invoking the original experience.

Migration to XML is
normalised migration,
hence we coin it smart migration.
Ingredients
suitable xml formats for your data
software to convert
  legacy data to xml
  ingest data to xml
  xml to dissemination data
connectors to your repository workflow
MIXED - snapshot
timeline
defining MIXED
•   history
•   defining
•   developing
•   using
•   exploiting
XML
XML sounds great

what is MIXED’s XML?
Data kinds
Data comes in kinds, defined by the typical
applications that manipulate it.
Spreadsheets, databases, rich
text, images, audio, video, drawings, ...
The need for these applications are the
basic reason for the threat of data loss
caused by software obsolescence.
standards for data kinds
binary vendor formats (doc)
ascii vendor formats (rtf)
open formats (HTML export)
interchange formats (ad-hoc XML)
standard formats (defined XML: OOXML)
preservation formats (selected XML: SDFP)
SDFP
Standard Data Formats for Preservation
Spreadsheets: ODF subset
Databases: e-David-XML
Statistical Data: DDI
SDFP as umbrella
Datatypes
numbers: ISO 6093
date-time: ISO 8601-3
characters: UNICODE
Scope (kinds)
initially
  tabular data
       spreadsheets and databases
later
  statistical data
and then
  text, still images, ...
Scope (aspects)
         Content semantics

 databases            cell positions
 data model               values
  data itself           formulas

spreadsheets
Aspects that didn’t make it
presentation details       action details
       fonts           update, insert, delete
      forms             stored procedures
                               triggers
developing MIXED
•   history
•   defining
•   developing
•   using
•   exploiting
design principles
building block in workflows
no built-in user interface
easily extensible / updatable
use and produce open source code
framework and plugins
framework
  managing plugins
  managing execution
  administration
plugins
  for each conversion
   from/to SDFP
issues
how loose/tight are the components
  connected?
pure own Java code / borrow existing
  programs in other languages?
modularity of file type recognition (JHOVE)
Using MIXED
•   history
•   defining
•   developing
•   using
•   exploiting
Data archives
         collect

         preserve

         re-use
improvements for repositories
• users can select format most usable to
  them, irrespective of producer
• users can select the preservation
  format, in case usable formats are not
  supported
• less uncertainties in interpretation, either
  by humans or by software
further improvements
combine data from heterogeneous sources
• different formats (straightforward)
• different data models (advanced)
• different data kinds
Exploiting MIXED
•   history
•   defining
•   developing
•   using
•   exploiting
Research Infrastructures
Data on an Infrastructure
•   higher demand for interoperability
•   more needs for standards
•   more opportunities for re-use
•   more scope for digital preservation tools
Conversions needed




            lots of them ...
Conversion as a service
• a uniform resource
  • yielding uniform results
• easily accessible
• product of community effort
  • a good conversion requires a lot of intelligent
    work
  • quality is reached in an iterative manner
MIXED as Infrastructure
• provides a standard for preservation
  formats
• implements the tools to maintain the
  standard
• accumulates the shared wisdom of data
  formats
when software
vendors realize
that there
should always
be
an im/export
to a
preservation
format,
it means ...........   The End of MIXED

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2009 PLANETS Vienna - MIXED migration to XML

  • 1. Towards an Infrastructure of Migration Dirk Roorda
  • 3. History of MIXED • history • defining • developing • using • exploiting
  • 4. what is it? MIXED is a file format converter plus a set of formats, called SDFP, i.e. Standard Data Formats for Preservation
  • 6. testbed: spreadsheets XML is an appropriate choice for the long-term preservation of spreadsheets. XML can be used to specify the context, content and structure of spreadsheets.
  • 7. testbed: databases At present, XML is the most effective strategy for the durable preservation of databases. XML is highly capable of representing the context, content, and structure of databases. This strategy can implemented using a number of different methods.
  • 8. what do repositories want Conversion to preservable formats. Automatically at most once Faithfully.
  • 9. preservation strategy Migration and emulation are complementary strategies. Migration is best for offering usable content. Emulation is best for invoking the original experience. Migration to XML is normalised migration, hence we coin it smart migration.
  • 10. Ingredients suitable xml formats for your data software to convert legacy data to xml ingest data to xml xml to dissemination data connectors to your repository workflow
  • 13. defining MIXED • history • defining • developing • using • exploiting
  • 14. XML XML sounds great what is MIXED’s XML?
  • 15. Data kinds Data comes in kinds, defined by the typical applications that manipulate it. Spreadsheets, databases, rich text, images, audio, video, drawings, ... The need for these applications are the basic reason for the threat of data loss caused by software obsolescence.
  • 16. standards for data kinds binary vendor formats (doc) ascii vendor formats (rtf) open formats (HTML export) interchange formats (ad-hoc XML) standard formats (defined XML: OOXML) preservation formats (selected XML: SDFP)
  • 17. SDFP Standard Data Formats for Preservation Spreadsheets: ODF subset Databases: e-David-XML Statistical Data: DDI
  • 19. Datatypes numbers: ISO 6093 date-time: ISO 8601-3 characters: UNICODE
  • 20. Scope (kinds) initially tabular data spreadsheets and databases later statistical data and then text, still images, ...
  • 21. Scope (aspects) Content semantics databases cell positions data model values data itself formulas spreadsheets
  • 22. Aspects that didn’t make it presentation details action details fonts update, insert, delete forms stored procedures triggers
  • 23. developing MIXED • history • defining • developing • using • exploiting
  • 24. design principles building block in workflows no built-in user interface easily extensible / updatable use and produce open source code
  • 25. framework and plugins framework managing plugins managing execution administration plugins for each conversion from/to SDFP
  • 26. issues how loose/tight are the components connected? pure own Java code / borrow existing programs in other languages? modularity of file type recognition (JHOVE)
  • 27. Using MIXED • history • defining • developing • using • exploiting
  • 28. Data archives collect preserve re-use
  • 29. improvements for repositories • users can select format most usable to them, irrespective of producer • users can select the preservation format, in case usable formats are not supported • less uncertainties in interpretation, either by humans or by software
  • 30. further improvements combine data from heterogeneous sources • different formats (straightforward) • different data models (advanced) • different data kinds
  • 31. Exploiting MIXED • history • defining • developing • using • exploiting
  • 33. Data on an Infrastructure • higher demand for interoperability • more needs for standards • more opportunities for re-use • more scope for digital preservation tools
  • 34. Conversions needed lots of them ...
  • 35. Conversion as a service • a uniform resource • yielding uniform results • easily accessible • product of community effort • a good conversion requires a lot of intelligent work • quality is reached in an iterative manner
  • 36. MIXED as Infrastructure • provides a standard for preservation formats • implements the tools to maintain the standard • accumulates the shared wisdom of data formats
  • 37. when software vendors realize that there should always be an im/export to a preservation format, it means ........... The End of MIXED

Notes de l'éditeur

  1. I first want to express my delight that you have made it to Scheveningen, to this consultation workshop for MIXED.
  2. This is what MIXED is about, according to the White Paper.I wonder whether in the future I just write Wordles instead of White Papers.
  3. This is an overview of my talk.
  4. Let us now state very briefly what MIXED is, at least, the tangible project result.
  5. Really, MIXED is not so surprising. The idea is quite natural. There have been attempts to put it on the agenda of digital preservation
  6. They made explicit statements about various data kinds: spreadsheets
  7. The verdict on XML for databases is also positive
  8. So the existing tools for converting to XML leaves something to wish for.That leads to the question:
  9. Let us talk a bit about preservation strategy, because you cannot effectively build tools if you do not have a strategy
  10. What are the ingredients for this to work out as desired?
  11. Lets zoom in on the processes of smart migration.First let us ignore the passage of time, we take that into account after this slide
  12. Now, considering time, the question is, how long do we have to maintain parts of the system?
  13. Let us have a closer look at what defines MIXED
  14. The first characteristic is a buzz word: XML
  15. The question is: what do we want to model with our XML?
  16. There is an evolution in file formats, one with a positive direction, look as an illustration to the formats that Microsoft Word can deal with.
  17. So now we are approaching MIXED again, by means of the selection of a few XML schema’s.
  18. SDFP is open, eXtensible, the objective is to gather the best preservation formats for each data kind under one umbrella.
  19. Below XML there is still some structure left: basic data types. XML schema can define them. We chose the ISO definitions.
  20. MIXED is far from complete. It is an experiment, so we have limited our scope.In two ways, one is just a matter of choice, the other may be a more intrinsical limitation.
  21. Here are the more intrinsic limitations. This is what we do
  22. and this is what we don’t
  23. By way of introducing the presentation of Jan, I want to say a few words about the MIXED software
  24. When we were designing