1. Live
STARC instance (Cultural Heritage-
oriented)
.https://icach.cyi.ac.cy:9001/
Great Lakes monitoring project
(NCSA, other environmental moni-
toring parties). Uses Medici as CMS.
http://greatlakesmonitoring.org/
People
The Cyprus Institute
Constantinos Sophocleous
Local Developer
Email: c.sophocleous@cyi.ac.cy
NCSA
Luigi Marini
Medici lead developer
Email: lmarini@ncsa.illinois.edu
Kenton McHenry
Technical lead
Email: mchenry@illinois.edu
Bibliotheca Alexandrina
Mohammed Elfarargy
Technical Consultant
Email:
Mohammed.Elfarargy@bibalex.org
More Info
Related Projects:
LinkSCEEM2
Work Package 8
Cyberinfrastruc-
ture: Data and
Hardware inte-
gration
http://
www.linksceem.eu
/ls2/project/work-
packages/wp8.html
Key Partners:
 National Cen-
ter for Super-
computing
Applications at
the University
of Illinois (USA)
http://
www.ncsa.illinoi
s.edu/
 Bibliotheca
Alexandrina
(Egypt)
http://
www.bibalex.or
g/Home/
Default_EN.aspx
Selected
publications
C. Sophocleous et
al, “Medici 2: A
Scalable CMS for
Cultural Heritage
Datasets. Motiva-
tion, Capabilities,
Future Direc-
tions.” (forthcomi
ng 2014)
The Medici Digital repository
Medici is a Web environment integrating analysis tools for the
auto-curation of un-curated digital data, allowing automatic pro-
cessing of input datasets, and visualization of both data and col-
lections. It offers a simple user interface for dataset prepro-
cessing, previewing and automatic metadata extraction. In addi-
tion, it supports user input of metadata and provenance, storage,
archiving and management, representation and reproduction.
Medici uses the latest web visualization technologies and a
highly flexible and customizable preprocessing system. It also
offers many collaborative data annotation features.
Building on previous experience (Medici 1), NCSA (National
Center for Supercomputing Applications, University of Illinois)
and CyI have worked on improving technical/performance and
functionality aspects. Medici 2 is a scalable, flexible, robust dis-
tributed framework with wide data format support and metadata
functionality.
Current main features include:
 Preprocessing, previewing and metadata extraction capabili-
ties for many 3D model formats, Polynomial Texture Images
(by converting them to 3D models), very-high-detail images
from digital cameras and many video formats.
 Preprocessors can be chained together to create dynamic
data preprocessing workflows.
 Can store and manage any kind of file data. This includes
time series data and environmental sensor data, as is evi-
dent by its use in the Great Lakes Monitoring project (see
side column).
 Flexible data hierarchy.
 User-community-generated metadata management and
querying based on easily-defined schemata.
 Social commenting and tagging.
 Multi-tiered, organic access control hierarchy.
Medici 2: A robust, scalable, flexible CMS for
autocuration of digital data .
Courtesy Cyprus Dept. of Antiquities-University of Sydney. US plant hardiness map. USDA-ARS and Oregon State University (OSU)

2. Medici 2: A robust, scalable, flexible CMS for
autocuration of digital data .
Usage examples
A few examples of what can be processed and previewed online by Medici 2.