2. Since early 80s, I have contributed to international
consortia for the production of massive atomic
data sets for astrophysical applications
1982-1997: Opacity Project (Opacity Project Team 1995)
Radiative atomic data (LS coupling) and opacities for
cosmic abundant elements
Led by Mike Seaton and Dimitri Mihalas
Contributors from France, Germany, UK, USA,
Venezuela
1992-present: IRON Project (Hummer et al 1993)
Radiative and collisional data (intermediate coupling)
for Fe-group ions
Coordinated by David Hummer
Contributors from Canada, France, Germany, UK, USA
3. TOPbase was one of the first
online atomic databases
Source: Cunto & Mendoza (1992)
5. The OPserver is a good example of
database-centric computing
OPserver at OSC
Source: Mendoza et al. (2007)
6.
7. Source: John R. Johnson, “HPC for data intensive science”,Pacific Northwest National Laboratory
8. A new scientific culture:
e-Science (John Taylor 1999)
Digital science
Multidisciplinary and collaborative (social
networks)
Virtualized on a 2nd generation Internet
(advanced networks)
Data intensive, open access (database centric)
HPC in distributed environments (grids, clouds)
and managed through services
New communication and publication pathways:
knowledge preservation & dissemination
(metadata)
9. Virtual
Learning
Environment Undergraduate
Digital Students
Library
Graduate
E-Scientists Students
Reprints E-Scientists
Peer-
Reviewed
Technical
Reports
Grid
Journal &
Conference Preprints &
Papers Metadata
Entire e-Science
E-Experimentation
Cycle
Local Encompassing
Publisher Institutional Web
Holdings Archive
Certified
Experimental
Data, experimentation,
Metadata &
Results &
Analyses
Ontologies analysis, publication,
research, learning
Source: David De Roure (Univ. Southampton, UK)
10. Data curation is rapidly becoming a crucial
step in the research cycle
Original image from Lord et al (2004)
11. • The Virtual Atomic and Molecular Data Center (VAMDC)
aims at building an interoperable e-infrastructure for the
exchange of A&M data. VAMDC involves 15 administrative
partners representing 24 teams from 6 European Union
member states, Serbia, the Russian Federation and
Venezuela.
• VAMDC is supported by EU in the framework of the FP7
"Research Infrastructures - INFRA-2008-1.2.2 - Scientific
Data Infrastructures" initiative. It started on the 1st of July
2009 for a duration of 42 months.
12. VAMDC integrates several research groups
mainly from the European Research Area
UCL U Uppsala
U Cambridge
Open U RAS
U Cologne RFNC
NIST
Queen’s U
CNRS U Vienna
IVIC
CeCalCULA
AO Belgrade
INA Italia
14. VAMDC intends to deploy an interoperable e-
environment for distributed A&M databases
database2
database1
database3 database4
15. Users will be able to navigate seamlessly
and retrieve data from 21 A&M databases
VALD
NIST CHIANTI
HITRAN CDMS
OPserver BASECOL
XSTAR STSP
TIPbase UMIST
VAMDC
TOPbase KIDA
W@DIS PAH
SPECTRA LASP
OZONE BELDATA
CDSD SpecW3
16. A&M data are used in a wide variety of
research and industrial fields
Astrophysics
Fusion plasmas
Lighting
17. VAMDC is conceived as a virtual warehouse
of A&M distributed data services
18. The first database integrations were carried
out by the IAEA by means of web portals
19. Database integration and data exchange
management are now performed with XML
Source: Freire & Benedict, 2004, Comp. Sc. Eng., 6, 12
20. Storage of XML in a database
Source: Freire & Benedict, 2004, Comp. Sc. Eng., 6, 12
36. Conclusions
Scientific research is becoming increasingly collaborative
and data-intensive (e-science)
Atomic data production must be scaled up to the extreme
requirements of diverse virtual organizations
Data repositories must be kept fit and integrated for
contemporary purposes, discovery and reuse (data curation)
Data provenance and preservation are of vital importance
Regarding A&M data, VAMDC is addressing most of these
issues
An A&M XML schema (XSAMS) has been released and is
being extended and maintained
If you have A&M databases, you are welcome to set up a
VAMDC node for publication