Cultural Heritage (May 10th 2019) Data Driven Innovation 2019. Dipartimento di ingegneria, Università degli Studi Roma Tre.

1. The CoE-TDCH of Latium Region:
Cultural Heritage data
Mary Prezioso
Delegate person of University of Rome “Tor Vergata” in CoE-TDCH
10/05/2019
Centro di Eccellenza – DTC Lazio
Data Driven Innovation Rome 2019
Data and Cultural Heritage

2. The scope of CoE
It builds an aggregation and integration place evidence of advanced/innovative
technologies and skills devoted to CH assets and activities in Lazio Region by 5
public universities (Sapienza as leader), CNR, ENEA and INFN in order to:
• provide of technical-scientific, entrepreneurial, institutional resources, linking and exploiting
existing research, training and technology transfer (new skills), improving the overall effectiveness
of investment in CH;
• Re-launch growth and interationalisation of regional SMFs;
• improve quality and capability in stakeholders, enterprises and institution working in the CH policy
sector through technology transfer and support for innovation processes;
• Promote, create and support human capital education to the service of the territory
It coherently works with The EC Agenda for Culture post 2020 (2018) reinforcing territorial cohesion
and competitiveness in sustainability by cultural inclusive processes indissolubly linked to the places
identity, territorial capital and geographical diversity

3. CoE technological domains and development strategies:
data matters!
HUB 1
Digital
technologies and
virtualisation
HUB 2
Technologies
for
diagnostics,
conservation,
recovery
HUB 3
Technologies for
design and
management of
resources
Analysis, diagnostics,
testing, monitoring
Materials,
nanotechnologies,
sensors, devices
Multimedia
platforms,
communication
systems, digitisation
Business systems and models,
protection, security, sustainable
management
Regeneration, valorisation,
sustainability and energy
efficiency, quality of the
environment
Production cycle
management of CH,
narrative formats,
infrastructure
solutions
Restoration of local identities for the
development of attractive and
competitive tourism

4. The CoE-TDC database have been developed
• By 4 research projects, storing different types of data and data-related functionalities
from various sources relevant for scopes, territorial analysis and monitoring. Main
outcomes:
• a complete database of CH, firms, stakeholders, activities in Latium region in order to make this
policy sector more efficient, more user-friendly, and more connected to the regional growth in EU
• an Observatory toolbox as well as outside world via web services. Observatoy will be prepared to
store and distribute efficiently several types of data, from local to global, from administrative to
gridded data. In addition, the database activity keeps CoR core datasets up-to-date and provide
support on data-related issues.
• By the CoE Registry (Anagrafe), a Database Portal (Observatory) ensures the availability
of timely, accurate statistical information which enables policy-makers, practitioners,
researchers and other stakeholders to address a wide range of issues in today’s rapidly-
evolving global economic and social landscape. The Register and Observatory Database
Portal gather and harmonise international statistical data in a multidisciplinary
environment which is a key to international comparative analysis and policy work.
• By Observatoy, projects and services are developed supporting territorial (institutional
and entrepreneurship) capacity building

5. DB: Registry of Competences and skills
• Leader: Maurizio Lancia, CNR
• Participants: CNR, Sapienza, Tor
Vergata, Roma Tre, Tuscia, Cassino,
ENEA, INFN
• Financing: 267.905,67 Euro
Obiectives
• To create and make available to the Latium TCCH an
integrated platform for the provision of diversified and
geo-localized services to businesses, academics,
stakeholdes, firms, institutions and citizens, at local,
national and international level.
• Create observatory on skills and resources, including
mapping of business models, big-data, historical buildings

6. DB: EcoDigit
• Leader: Valentina Presutti, CNR
• participant: CNR, ENEA, Roma Tre, Sapienza Tor
Vergata, Tuscia, INFN
• Financing: 181.692,49 Euro

7. DB: SISMI
• Leader: Lucina Caravaggi, Sapienza
• participants: Sapienza, Roma Tre, Tuscia, Cassino CNR,
ENEA
• Financing 272.000 Euro
TecnologieperilmiglioramentodellaSicurezzaela
rIcostruzionedeicentriStoriciinareasisMIca
Aims:
To develop technologies and methods already known at
scientific level in support of regional interventions aimed at
seismic improvement, reconstruction and revitalization of
seismic territories.
Obiectives:
1. provide modalities and tools for assessing the degree of
vulnerability of historical centres and their contexts
2. provide modalities and tools for assessing the degree of local
seismic hazard and the possible occurrence of hazard
3. allow evaluation of the actual and specific possibilities of
seismic improvement and earthquake reconstruction
4. identify innovative methodologies and new generation
materials for restoration and recovery by providing parameters
for feasibility assessment /applicability
5. disseminate methods and results of seismic verification tests on
materials for reconstruction and recovery
6. provide guidance on how innovative, low-cost, easily deployable
structural monitoring systems can be used and how the
interventions can be sustainable.
S
I
S
M
I

8. DB: ADAMO
• Leader: Roberta Fantoni, ENEA
• participants: CNR, ENEA, INFN, Roma Tre, Sapienza,
Tor Vergata, Tuscia
• Financing: 193,243.80 Euro
Obiectives
1. Technology transfer for CH analysis, diagnostics and
environmental monitoring
2. Provide business services through the use of the Latium
TDCH’s research infrastructure
3. Demonstration on selected case studies, related to both
mobile and immovable CH, the effectiveness of the
techniques of diagnostic and monitoring developed and
proposed
4. Development of prototypes and testing of innovative
products with low environmental impact suitable by end-
users

9. 5/6/2019 9
How is Latium position at the national level?
(Amodio in PRIN Prezioso 2019)
involvement of public and private
actors in research and innovation
processes and CH policy development
MODELS OF P/P
COLLABORATION
characterized by a high
level of
internationalization
Technological Nazional Cluster
1. Aerospazio
2. Agrifood
3. Chimica verde
4. Fabbrica intelligente
5. Mezzi e sistemi per la mobilità
di superficie terrestre e marina
6. Scienze della Vita
7. Tecnologie per gli ambienti di
vita
8. Tecnologie per le Smart
Communities
Ministry of Education, University and Research
(MIUR)

10. 1st DATA level – Generative: PCA
De Rubertis et al., 2019; Maps By Marilena Labianca; PCA by Camilla Mastromarco
(PRIN Prezioso 2019)
R&D employees in humanities
(%residents)
Universities and research centers

11. And there is a “Space of Flows” (BigData):
Global/Personal Polarisation on CH
Changes in UE from 2010-2020
(ESPON-Laurent 2019) but not investments

12. Registry and Observatory stress data knowledge of regional
potential capital
Integrated interoperable platform (CRIS), systems and
business models to be provided to accompany plans for
protection, safety and sustainable management,
enhancement of «cultural» places and tourist resources
• Data gathering, census and map (weighed)
information and monitor it continuously
• Provide (via multilingual web) diversified and
georeferenced services to businesses, scientists,
cultural and research institutions, administrations,
institutions and citizens, at local, national and
international level
• Create a community among P/P subjects/actors
(dtclazio.it) over time. It is useful to:
✓ economic-financial evaluation
✓Capacity building implementation, communication/dissemination

13. Presentation
Storage Online IO Store
APIs
Contenuti e
metadati
Georeferenziati
Acquisition
Portale
IO API
Harvester/Crawler
Message Broker
Content Processing
Accesso ai servizi Supporto alla
Community
Access Browsing
Indexing &
Retrieval
Supporto alla community
SteMa - GIS
Sapienza Digital
Library - Digilab
Sistema
informativo
E3S -
COBRA
CNR -
S&TDL
…
DATA in relationship among Registry and Observatory
The Registry supports the CH
Territorial Observatory,
Regional Tourist
Development,
It integrates systems and
services for mapping, census
and data monitoring

14. Creation and launch of the "Territorial Observatory" on environmental,
urban/rural, cultural and socio-economic questions in the Latium territories,
in order to:
• turism enhancement/promotion by UNESCO Management plans
• service activity for the enhancement of territorial attractiveness
• user-friendly tools for the collection of project ideas and the
simulation of projects aimed at the enhancement of regional cultural
heritage and their dissemination
Using:
❑Indicators, mapping, metadata, etc.
❑TIA, SEA and Banchmarking
❑Mapping and monitoring of technologies and business models over
time
❑Mapping and monitoring of Big Data
❑Mapping of the structural response of the historical buildings of the
villages of Lazio subject to previous static consolidation TIA of CH is our main
instrument: to know before
to choice

15. 15
STeMA_TIA mesures the CH as territorial policy (PRIN Prezioso 2019)
✓ Traditional indicators (like GDP) are not exhaustive to explain how wealth is distributed into regions
✓ The choice of cohesion indicators and data (... unit of measurement and correlation) becomes a central
issue (Eurostat, OCSE, ESPON, ISTAT…)
STeMA-TIA (Prezioso, 2015-2019), through 73 indicators and 4 Determinats,
allows “to analyze a regional territory and its internal and external cohesion
degree, to detect and to assess its resources and to relate inter-dependence
connections of policies”.

16. Hard/Soft in data collection for TIA and SEA
• Configuration Management (SCM) by Register: people, places,
technologies, publications, etc.
• STeMA 3.0 by Observatory. Applying the STeMA methodological approach
and GIS TIA and SEA (version 3.0):
• a comprehensive list of key performance indicators has been provided. They are geo-
referenced at 1:25.000 geo scale, collecting related information (by official DB from
several sources): i.e material and immaterial; natural and anthropic; firms and
people; cultural landscape and heritage; morphology; etc. 11 dimensions are
analysed ex ante
• In order to ensure the data comparability and usability at the regional, and local
scale, data collected are harmonized (e.g. GIS, statistics techniques, Cost Shanti
method, algorithms, etc.)
• The European and international standards for spatial referencing and data storage, in
particular the INSPIRE recommendations, and the metadata standards, ISO-19115,
are taken into account

17. STeMA SEA 3.0

19. STeMA Platform is creating as useful to the integrated, strategic
and cohesive spatial planning and municipal design. The access
will be frendly and transparent to create a community in the use
of data

20. Example:
ADAMO project

21. Example: Latina Municipality

22. EFSI and EFRD funds spending are included towards ITI
to make smart/soft finance in Smat CH field (Thematic Ob.)
EFRD
TDCH: Ex ante territorialised evaluation on policy
needs in order to have sustainable and efficient
solutions (quality projects )

23. Mary Prezioso
(maria.prezioso@uniroma2.it )
The CoE-TDCH of Latium region is and does critical mass
Our ambiton is to begin the Poli-IR of Cultural Heritage
in Latium region, Italy and in Europe
and CH ‘nourishes’ the new economy of South of Europe
www.dtclazio.it
Mary Prezioso 23