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1C - European Networks
1. Digitisation and Measurement of
Tangible Heritage: Two Converging
Roads?
Luca Pezzati
READY TO REACH OUT
Connecting Cultural Heritage Collections and Serving Wider Audiences
2016 Conference
29-30 June 2016, Amsterdam
2. LAUNCH OF THE ESFRI ROADMAP 2016 – Amsterdam, 2016 March 10th
distributed research infrastructure for heritage
interpretation, preservation, documentation and
management
Coordinating Country
Italy
11 Member Countries
Belgium
Cyprus
Czech Republic
France
Germany
Greece
Hungary
Portugal
Spain
The Netherlands
United Kingdom
8 Participating
Countries
Brazil
Bulgaria
Denmark
Ireland
Israel
Poland
Slovenia
Sweden
2016-2019
preparatory phase
2021-2025
implementation phase
www.e-rihs.eu
a cross-disciplinary collection of advanced tools and services
serving a cross-disciplinary community of researchers
ARCHLAB
Scientific archives for
heritage science
MOLAB
Mobile laboratory for
in-situ diagnostics
FIXLAB
Access to large-
scale facilities
DIGILAB
Digital scientific datasets
for heritage science
3. a study prepared for the EC in 2010 [Poole, N., The Cost of
Digitising Europe’s Cultural Heritage] estimates in the order of 100
billion of Euro the cost of digitizing all Europe’s public cultural
heritage assets
from the same document: “Digitisation is a loosely-defined term
which describes the set of management and technical processes
and activities by which material is selected, processed, converted
from analogue to digital format, described, stored, preserved and
distributed.”
digitising tangible heritage
4. digitisation
Digitization is the
representation of an object,
image, sound, document or
signal by generating a
series of numbers that
describe a discrete set of its
points or samples. The
result is called digital
representation.
Wikipedia
5. measuring tangible heritage
scientific instruments measure physical quantities and store them
in digital form
well defined protocols make sure measurements are reproducible
errors must be assessed
6. qualitative output
no information on errors
guidelines not protocols
text, 2D and 3D images, audio, video, …
mass-production process
quantitative output
errors assessed and given
measurement protocols
all kinds of datasets, including the above
quality process
digitising vs. measuring
7. text
images
audio
video
3D models (artefacts, monuments, buildings, …)
color
roughness/texture/glossiness
reflectance spectra (X-UV-VIS-NIR-IR), also in image format
fluorescence and luminescence (X-UV-IR), also in image format
material composition (chemical analysis, physical analysis)
inner composition (tomography)
…
heritage: what is digitised / measured
8. • enhance/allow public/remote access to CH
• virtual exhibitions
• producing physical copies from digital data
• gaming
• research made easy (VREs)
• research made possible (fragile items, unreachable objects, …)
• document heritage at risk of loss
• document heritage purposely lost (destructive measurements)
• preserve and transmit knowledge to future generations
why digitising / measuring heritage
Datare-usetimeline:
long-termshort-term
9. are digitisation and measurement due to converge?
Already happening:
better and better digitisers approach measurement-quality results
better instruments produce denser measurements
Needs boosting:
user’s awareness on the outcomes
better planning of digitisation projects
open data (sharing) of heritage measurement results
10. could be feasible if we:
document all properties of the object which are reasonably
measurable
use scientific measurement procedures
- error estimates
- protocols
- calibrated & certified instruments
develop new digitisers and digitising procedures to mass-measure
at reasonable costs
documenting heritage!
11. Are heritage datasets themselves heritage?
Leonardo:MadonnaVirginoftheRocks(detail)
TheNationalGallery
wide-bandinfraredimage(0.8-1.7microns)
12. …thank you for your attention!
luca.pezzati@cnr.it
www.e-rihs.eu
16. Our possible Q&As about Renaissance (600ys ago):
Q. What was the sound of music, or of speech?
A. Forever lost. No hi-fi systems around…
Q. What was the appearance of artworks and buildings?
A. Lost: no photography. Only partial descriptions in paintings.
Q. What were the original colours of paintings?
A. Forever lost. No colorimetry available in 1480.
looking to the past…
17. Possible Q&As about us, in 600ys to come (2616A.D.):
Q. What was the sound of music in 2000?
A. Just open the audio files and listen…
(if we care about long-term preservation)
Q. What was the appearance of artworks and buildings in 2000?
A. Look, they saved complete models of cities and museums!
(if we care about long-term preservation)
Q. What were the original colours of Keith Haring paintings?
A. Ooooops! Why they did not measure them? They had colorimetry since
1931!!!!!
…planning for the future
27. final cost of mass-digitisation is largely dependent on manpower,
not instruments
research can target development of “smart scanners” to support
low-cost mass-digitisation
outcomes can boost innovation and industrial development
documenting heritage: sustainability
28. store for long-term: metadata must include full info of (e.g.):
digitization/measurement protocols
errors and error estimation strategy
extended instrument info (model, calibration, manuals,…)
environmental parameters during measurement
e-infrastructures for heritage must address the problems of re-
using complex interrelated multi-dimensional data sets
specialized VREs needed
intensive use of 3D models and VR to access/reference/-connect
heritage data sets
doumenting heritage: storing & re-using data
29. new approach needed for digitisation and data preservation
new digitisers needed for low-cost mass-production of quantitative
digital data
new tools for data handling and for their use in virtual research
environments must be studied
common strategies to be developed in collaboration between “data
producer” SCI research infrastructures and e-infrastructures
conclusions
Editor's Notes
Of the 3 platforms of E-RIHS (E-RIHS LABs), two are data producers (MOLAB, FIXLAB); one is a data source (ARCHLAB) and the last one will be an e-infrastructure (DIGILAB) for scientific heritage datasets.
MOLAB; FIXLAB and ARCHLAB are operated by the integrating activity project IPERION CH (and predecessors) since FP6.
On the scale of Europe, such a cost can be afforded. But on the verge of starting this wide and long-term task, we cannot do without a well-planned strategy about digitizing and cataloguing our heritage. Possible faults undermining this strategy are related to the loose definition of «digitization» and of its aims. Further confusion arises from the time issue: are we digitizing for now (research and frution), for the future (long-term preservation), or for both?
Try googling “digitization” and “heritage digitization”…
Just to make the point, let’s see at the definition of «measurement»…
Error assessment and protocols are the keys of a measurement process.
Let’s take a look at the major differences between the two approaches.
Niccoucci’s paper on using industrial quality approach to 3D digitization shows an attempt to this new «digitization as measurement».
This is today’s model, as defined in all major documents around, and care is to digitize items in the blue list. The last point is the «modern» one. But if you comfront once again with the real needs of preservation, you get back to the red pill approach…
If our aim is (even partly) to transmit knowledge to future generations, our approach to digitisation is wrong.
If our aim is (even partly) to transmit knowledge to future generations, our approach to digitisation is wrong.
A sensible approach. Summarizing the principal issues of «digitizing for the future» are:
Ethical issue: digital CH data is CH data itself!!!
All is left after a destructive measurement is the «digital ghost» of the material, containing info so precious to justify the distruction of the sample.
To better understand what we are called to accomplish, a look to the past can be useful. Let’s ask ourselves questions about what we wish we knew about, for instance, the golden age of Reinassance.
How do we play Beethoven today?
Let’s try to guess our descendant’s curiosity towards us in, say, the same time span separating us from the Renaissance.
When it gets to quantitative aspects, on fragile or simply changing CH, the model we are using shows its limitations.
It’s not a problem of costs, but a problem of understanding our targets. We can do without quantitative approach, but the question is why? And this is exactly the question a scientist in 2600 could be asking about our ways of digitizing.
Data will more and more be made of relations than of single items.