The document discusses data models, particularly focusing on the structure and semantics of information storage in radio astronomy. It outlines the elements of data models, including attributes, data types, and relationships, while providing examples and diagrams for clarification. Additionally, it covers the roles of data models in various processes such as discovery, evaluation, and data access.

1. VO, Data Models, and
VO Archives
Juan de Dios Santander Vela (IAA-CSIC)

2. Overview
Data Model Definition
IVOA and Data Modelling
Radio Astronomy DAta-Model for Single-dish

3. Data Models

4. Data Model Definition
Complete description of the set
of entities needed for
information storage in a
particular field, which specifies
both the data being stored, and
the relationships between them.

5. Information Structure
JUAN DE DIOS SANTANDER VELA
JDSANT@IAA.ES
INSTITUTO DE ASTROFÍSICA DE ANDALUCÍA (CSIC)
BECARIO I3P DE POSTGRADO (01/2006-12/2006)
BECARIO PREDOCTORAL IAA (03/2005-12/2005)

6. Information Structure
JUAN DE DIOS SANTANDER VELA
JDSANT@IAA.ES
INSTITUTO DE ASTROFÍSICA DE ANDALUCÍA (CSIC)
BECARIO I3P DE POSTGRADO (01/2006-12/2006)
BECARIO PREDOCTORAL IAA (03/2005-12/2005)

7. Information Structure
JUAN DE DIOS SANTANDER VELA
JDSANT@IAA.ES
INSTITUTO DE ASTROFÍSICA DE ANDALUCÍA (CSIC)
BECARIO I3P DE POSTGRADO (01/2006-12/2006)
BECARIO PREDOCTORAL IAA (03/2005-12/2005)

8. Information Structure
JUAN DE DIOS SANTANDER VELA
JDSANT@IAA.ES
INSTITUTO DE ASTROFÍSICA DE ANDALUCÍA (CSIC)
BECARIO I3P DE POSTGRADO (01/2006-12/2006)
BECARIO PREDOCTORAL IAA (03/2005-12/2005)

9. Information Structure
JUAN DE DIOS SANTANDER VELA
JDSANT@IAA.ES
INSTITUTO DE ASTROFÍSICA DE ANDALUCÍA (CSIC)
BECARIO I3P DE POSTGRADO (01/2006-12/2006)
BECARIO PREDOCTORAL IAA (03/2005-12/2005)

10. Information Structure
JUAN DE DIOS SANTANDER VELA
JDSANT@IAA.ES
INSTITUTO DE ASTROFÍSICA DE ANDALUCÍA (CSIC)
BECARIO I3P DE POSTGRADO (01/2006-12/2006)
BECARIO PREDOCTORAL IAA (03/2005-12/2005)

11. Information Structure
JUAN DE DIOS SANTANDER VELA
JDSANT@IAA.ES
INSTITUTO DE ASTROFÍSICA DE ANDALUCÍA (CSIC)
BECARIO I3P DE POSTGRADO (01/2006-12/2006)
BECARIO PREDOCTORAL IAA (03/2005-12/2005)

12. Information Structure
JUAN DE DIOS SANTANDER VELA
JDSANT@IAA.ES
INSTITUTO DE ASTROFÍSICA DE ANDALUCÍA (CSIC)
BECARIO I3P DE POSTGRADO (01/2006-12/2006)
BECARIO PREDOCTORAL IAA (03/2005-12/2005)

13. Information Structure
JUAN DE DIOS SANTANDER VELA
JDSANT@IAA.ES
INSTITUTO DE ASTROFÍSICA DE ANDALUCÍA (CSIC)
BECARIO I3P DE POSTGRADO (01/2006-12/2006)
BECARIO PREDOCTORAL IAA (03/2005-12/2005)

14. Information Structure
JUAN DE DIOS SANTANDER VELA
JDSANT@IAA.ES
INSTITUTO DE ASTROFÍSICA DE ANDALUCÍA (CSIC)
BECARIO I3P DE POSTGRADO (01/2006-12/2006)
BECARIO PREDOCTORAL IAA (03/2005-12/2005)

15. Information Structure
JUAN DE DIOS SANTANDER VELA
JDSANT@IAA.ES
INSTITUTO DE ASTROFÍSICA DE ANDALUCÍA (CSIC)
BECARIO I3P DE POSTGRADO (01/2006-12/2006)
BECARIO PREDOCTORAL IAA (03/2005-12/2005) NT
E
E ND
D EP
D EL
MO
D ATA

16. Information Structure
Data model elements
Fields (Attributes in OOP, XML)
Data types
Semantics
Relationships

17. Information Structure
ATTRIBUTES & DATA TYPES
Field Object Number Source RA Dec Epoch
Data Type BigInt String Float Float String Code
Example 3123453445 ‘CIG 96’ 132.3478 -05.3345 ‘J2000’
Data OBGGALAX_1 96 8h12º50’52’’ -0h5º20’42’’ ‘Epoch J2000’

18. Information Structure
SEMANTICS & UCDS
Object
Field Source RA Dec Epoch
Number
Object Right
Meaning Source name Declination Epoch code
identifier Ascension
meta.id; meta.id; pos.eq.ra; pos.eq.dec; time.epoch;
UCD
meta.code meta.name meta.main meta.main meta.code

19. Elements of a DM
Entities Cardinalities
Data model building
Data types
blocks
Grouping of related Units
attributes
Semantics
Fields via UCDs & UTypes
Actual data elements of
the model
Relationships
Between attributes in
different Entities

20. Data Model Roles
Discovery
Evaluation
Data Access
Transformation

21. Data Model Roles
Discovery
Evaluation
Data Access
Transformation

22. IVOA Data Modelling

23. IVOA Data Modelling

24. IVOA Data Modelling

25. IVOA Data Modelling

26. IVOA Data Modelling

27. IVOA Data Modelling

28. Observation Data Model
Independent
of observation
Dependent data reduction Observation
ObsData Characterisation Target Curation Provenance
Observing
Coverage Resolution Precision Processing
Configuration
Location Support Sensitivity
F T Observing
Elements
Calibration
R A
D

29. Observation Data Model
Independent
of observation
Dependent data reduction Observation
ObsData Characterisation Target Curation Provenance
Observing
Coverage Resolution Precision Processing
Configuration
Location Support Sensitivity
F T Observing
Elements
Calibration
R A
D

30. Characterisation DM
Figure 4: The layered structure of Characterisation: This diagram synthe-
sises the Property/Axis/Layer approach. The concepts are represented in yel-

31. Characterisation DM:
Errors
Figure 5: This class diagram illustrates the CharacterisationAxis class and
its relationship with the Accuracy class, which encompasses various types of

32. Spectral Data Model
Spectrum
Target Data Characterisation CoordSys Curation DataID Derived

33. Spectral DM: Data
Data
n
Background
DataAxis FluxAxis Model
ucd TimeAxis
unit
SpectralAxis
1,..SegmentSize
Accuracy Resolution
Value Quality
value,unit
StatError SysError BinSize
BinLow
StatErrLow StatErrHigh BinHigh
Figure 2: Diagram for Data object

34. StatError SysError BinSize
Spectral Characterisation
BinLow
StatErrLow StatErrHigh BinHigh
Figure 2: Diagram for Data object
Characterization
n
CharacterizationAxis FluxAxis
SpatialAxis
name
ucd
TimeAxis
unit
SpectralAxis
Accuracy Resolution
Coverage
value,unit
StatError SysError BinSize
Bounds Support
Location
value
Calibration
Extent Start Area Fill
Stop
8
Figure 3: Diagram for Characterization object

35. Space-Time Coordinates

37. Radio Astronomy DAta-
Model for Single-dish

38. RADAMS’ Sources
Data Model for Observation
McDowell, Bonnarel et al., IVOA Data Model WG Internal Draft
Data Model for Astronomical Dataset
Characterisation
McDowell, Bonnarel et al., IVOA Data Model WG Note
IVOA Spectral Data Model
McDowell, Tody et al., IVOA Data Model WG Working Draft
IVOA Data Model for Raw Radio Telescope Data
Lamb and Power, IVOA Radio IG Note

39. RADAMS Structure
Observation Curation
ObsData
Policy
Characterization Provenance Target Packaging
Coverage Resolution Precision Sensitivity
Accuracy

40. RADAMS Structure
Data Model for Observation Observation Curation
ObsData
Policy
Characterization Provenance Target Packaging
Coverage Resolution Precision Sensitivity
Accuracy

41. RADAMS Structure
Observation Curation
ObsData
Policy
Characterization Provenance Target Packaging
Coverage Resolution Precision Sensitivity
Accuracy Data Model for
Dataset
Characterisation

42. RADAMS Structure
Observation Curation
ObsData
Policy
Characterization Provenance Target Packaging
Coverage Resolution Precision Sensitivity Undefined Data Models
Accuracy

43. RADAMS Detail
ION
O FR
AD
AM
CL ASS
ES
60
CHAP
TER 7
. DET
AILED
DESC
RIPTI
ON O
F RAD
R IPT
ESC
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7. D
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ta.
ada
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Spa Tab le 7.39
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ab stat ary:
tion abul.5.ted, AC
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a-
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UC id; alib ada taa . ord
ation met
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FIT word a. C ali UCD
: Calibr
met .main d
olle ed, c lized xis. DATE-
Table 7.40
Ke
y a ; tr type RED
met calib at ma ea
gn ibr a , nor for th obs.p Descr
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time. am;
a e
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sig
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br a
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ign
m
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ass met .id a M oe thr.na d
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iseWe ry: un
ta eta.id Type o f calibrati o- softw nonWe
trolled v
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me nat tificati a c ce-Tim : FK4, meta. are;
Softwa tedAverag edAve
u cd
ass
ign
obs.cali
b; m a con id
used, fro r,
n m ]
Ide em fro ee Spa el [13
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obs.para
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un i
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am u p D e s
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trolled hould com
refP a ord ELLIP ly if n m ic. AIPS, vocab e f
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CSN i ede r the main e- GILDA +, C CLA
W Eq u if n
e
ting Value fo ere param S,
case o MIRA, MIR, A, MOPS
AS
or YS only dica en- .calib; meter, wh ial.
me RAD
ES ch ( in
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p
assign
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that w ther, the a her. In t
ot
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pos .equi r. i s e t. ter.type is xp onential p as use ctual
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name
p
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tim
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inox pos param l
Boo th e t
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paramertehs or not sed in cating ber e coe⇥c ar packag ramet P
er.valu ackage
ord
Equ .
obs .code he meta.num nth degre alibration parame- meta. am; e nam
co gn w axi ag u ndi ar or Addit e. e as
ass
i
met
a hi s , i l obs.cali
b; al c d code ion the
in t ean fl data is regu
assign polynomi e is derive ra name, al processi
mial degre
; ; pa m
ch pos param ol led lo e .[n]g obs.p aram; o
epo Axi
s . Bo amp calC in p ter; polyn eter[n w
ramet hose value
ng pa
ent gn obs .code parametter.sam
of
s
meta.num
ber aximum n
. ].type ramet
er
dep
end a ssi m eta
w he
her
t. fr om the m assig
n have a
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will b
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in
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Sta po pa
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con ivisi obs.p
ar param ontrolled li we wi
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rs a mp
ass
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ltip fro parame tep.type
r
arame f code From ame v t of possib
nde m mu ing r.name, e o er[n].
t a con alues. le
u
e or esult one [pa
ramete , and on value integ trolled
itiv r
at least eter.name h a er
Sta
tus an
add those
that xScale as param meter. value, wit assig
n least a , float, s vocabulary:
ular or a s atory with flu para ll tr
reg pt f s, suchIt is mand appears, u as the obs.p be pre of FITS dat ing. . . At
re, or S n
a
xce aram a
at a, e antitie r.valu e] triplet sT emperatu sent. a type
s shou
d d ess qu paramete rightnes a
The fi Value ld
rate ture, mbB nal UC fo
by par r the param
aTempera
l as it d
alib ension s. antenn D to m
o c im ring. epend amete eter in
t
fers s to d datas
et type of st it cou s on p ark pa r.nam dicate
e re er le parameter. Target
ld b e a
obs.p rameter.typ
ramet
er[n].v e. d
a tiv ed ref surab aram; e; it w alue w
a rel
liz mmen i ill be c
name o ll be obs.pa
b norm
a
co ame meta. alcula
wo • Target.N cription ted
r obs. ram;
meta. when writin
es
we en t • Target.D ss
la param
bet se rvation • Target.C ; me numb g th
Ob ta.co e e
de, de r most of t VOTable,
os
• Target.P ctralClass
pe
• Target.s shift.statError pendin he tim
ed g on t e
• Target.r shift.Confidence
• Target .red he con , but
text.

44. RADAMS Detail
ION
O FR
AD
AM
CL ASS
ES
60
CHAP
TER 7
. DET
AILED
DESC
RIPTI
ON O
F RAD
R IPT
ESC
LE DD
I
ETA
7. D
ER
PT
ta.
ada
met 61
tial
Spa Tab le 7.39
a me. ipt
ion
n- : Proc
Ax isFr De
scr e. a co
om ncal- Attri essing
1: nam s fr bute Step m
. is
le 7 Ax u u FITS
ab stat ary:
tion abul.5.ted, AC
rel KAGING
a-
timest etadat
T D ra oc 7 ra P amp Keyw a.
UC id; alib ada taa . ord
ation met
S v b b.
FIT word a. C ali UCD
: Calibr
met .main d
olle ed, c lized xis. DATE-
Table 7.40
Ke
y a ; tr type RED
met calib at ma ea
gn ibr a , nor for th obs.p Descr
ssi bs. code ar iption
time. am;
a e
o
ta. tiv UCD axis
.
iption assig
ibu
te
sig
n me Ma
in
or t
he po- FITS Descr e calibrati
on n epoch Times
tamp
r as f in UCD p for th obs.p
Att nits orig eRef- Timestam ar step b for th
ame in u he Keyword . meta. am; eing p e pr
xisN s .uc n
d;
Ma ac
of t e uspe ocab- param; performed Type erform
a
nS t
atu a
met .mai At tib o t
n
atio n trh lled v rdi- TE-RED
obs. step being the param
eter code
of p ed.
br a
tio a
met .unit
; ntifi
c
hi ontr oo DA time.epo
ch defining e softwa to sou rocess
ca l i ign Ide n wit timestamp C Keyword rise with th rePack rc in
contro e data; c g
e
ill characte
c
ass a
met .main si t io fro m a ce-Tim ]. ce obs .calib; that we w
age
lled v omes
eta ref; me ee Spa el [13 referen o- a ssign m ; attri butes. assig ocabu f
ign
m
a. Fra y; S od me v obs.para remaining eter n essed la
ass met .id a M oe thr.na d
ular Datparamf te ntrolle e Co-
e
on param meta. , no
iseWe ry: un
ta eta.id Type o f calibrati o- softw nonWe
trolled v
e o n o m igh ight
me nat tificati a c ce-Tim : FK4, meta. are;
Softwa tedAverag edAve
u cd
ass
ign
obs.cali
b; m a con id
used, fro r,
n m ]
Ide em fro ee Spa el [13
assig n m; additiv e, facto re pa
ckage
e.
obs.para
s d proces
un i
t syst lary; Mor. cabulary: xponenti
al,
e; ataete. typ ed). e sing; used
cab nataram C. . eede for
am u p D e s
os .fr
pos .id i
e
TI meta.cod polynomi
al , a con
trolled hould com
refP a ord ELLIP ly if n m ic. AIPS, vocab e f
AME met ,
FK5 nox (o
n
d). logarith calibra- AIPS+ ulary:
CSN i ede r the main e- GILDA +, C CLA
W Eq u if n
e
ting Value fo ere param S,
case o MIRA, MIR, A, MOPS
AS
or YS only dica en- .calib; meter, wh ial.
me RAD
ES ch ( in
nde
p
assign
obs tion para om f o
that w ther, the a her. In t
ot
fFra nox Ep o flavaluis i
g
obs.para
m; not polyn
eRe ;
pos .equi r. i s e t. ter.type is xp onential p as use ctual
spa
c
e palran etee ax r no icating
eam h meta.num
ber gma, for e arame as a d sho packa
ssi
gn tim
s; poch Boo ther t rest o ind pled b; Value of si ter[n].
name
p
eter.n arameter,
uld b
e add
a po .e whe of the flag are sa
m obs.cali calibratio
ns. am w e
tim
e t assign m; assig
n and t e as sof ith param
ign den ean ata
dgma. ase obs.para a he pa tware
ient for
ass ; ; r.si c obs.p
inox pos param l
Boo th e t
e
paramertehs or not sed in cating ber e coe⇥c ar packag ramet P
er.valu ackage
ord
Equ .
obs .code he meta.num nth degre alibration parame- meta. am; e nam
co gn w axi ag u ndi ar or Addit e. e as
ass
i
met
a hi s , i l obs.cali
b; al c d code ion the
in t ean fl data is regu
assign polynomi e is derive ra name, al processi
mial degre
; ; pa m
ch pos param ol led lo e .[n]g obs.p aram; o
epo Axi
s . Bo amp calC in p ter; polyn eter[n w
ramet hose value
ng pa
ent gn obs .code parametter.sam
of
s
meta.num
ber aximum n
. ].type ramet
er
dep
end a ssi m eta
w he
her
t. fr om the m assig
n have a
er.valu
e; even
will b
e in p
in
tu s s; ram; . s tan on c tually, a-
Sta po pa
. not
tive
con ivisi obs.p
ar param ontrolled li we wi
ling obs .code d , meta. am; eter.n s ll
rs a mp
ass
ign et a lica m the
ltip fro parame tep.type
r
arame f code From ame v t of possib
nde m mu ing r.name, e o er[n].
t a con alues. le
u
e or esult one [pa
ramete , and on value integ trolled
itiv r
at least eter.name h a er
Sta
tus an
add those
that xScale as param meter. value, wit assig
n least a , float, s vocabulary:
ular or a s atory with flu para ll tr
reg pt f s, suchIt is mand appears, u as the obs.p be pre of FITS dat ing. . . At
re, or S n
a
xce aram a
at a, e antitie r.valu e] triplet sT emperatu sent. a type
s shou
d d ess qu paramete rightnes a
The fi Value ld
rate ture, mbB nal UC fo
by par r the param
aTempera
l as it d
alib ension s. antenn D to m
o c im ring. epend amete eter in
t
fers s to d datas
et type of st it cou s on p ark pa r.nam dicate
e re er le parameter. Target
ld b e a
obs.p rameter.typ
ramet
er[n].v e. d
a tiv ed ref surab aram; e; it w alue w
a rel
liz mmen i ill be c
name o ll be obs.pa
b norm
a
co ame meta. alcula
wo • Target.N cription ted
r obs. ram;
meta. when writin
es
we en t • Target.D ss
la param
bet se rvation • Target.C ; me numb g th
Ob ta.co e e
de, de r most of t VOTable,
os
• Target.P ctralClass
pe
• Target.s shift.statError pendin he tim
ed g on t e
• Target.r shift.Confidence
• Target .red he con , but
text.

45. RADAMS: Overview
Observation
ObsData Target Provenance Curation Policy Packaging
perAxisType
Characterization
Location
Bounds
Support
Sensitivity
Coverage Resolution Precision
Accuracy

46. RADAMS: Overview
Observation
ObsData Target Provenance Curation Policy Packaging
Characterization
perAxisType
Original to RADAMS
Location
Bounds
Support
Sensitivity
Coverage Resolution Precision
Accuracy

47. RADAMS: Overview
Observation
ObsData Target Provenance Curation Policy Packaging
Characterization
perAxisType
Original to RADAMS
Location
Bounds
Support
Specified for
Sensitivity
Coverage Resolution Precision
radio astronomy
Accuracy

48. RADAMS — ObsData
ObsData
AxisFrame.Spatial AxisFrame.Temporal AxisFrame.Spectral AxisFrame.Observable
Coverage.Spatial Coverage.Temporal Coverage.Spectral Coverage.Observable
-location -location -location -location
-bounds -bounds -bounds -bounds
-support -support -support -support
Accuracy Accuracy Accuracy Accuracy
Resolution.Spatial Resolution.Temporal Resolution.Spectral Resolution.Observable
SamplingPrecision.Spectral SamplingPrecision.Observable

49. CharDM — Spatial axis
ObsData AxisFrame.Spatial Coverage.Spatial Coverage.Spatial.Location Accuracy
-dataID +ObsData.dataID +ObsData.dataID
+Coverage.Spatial.locationName -quality
-axisName: spatial +AxisFrame.Spatial
-coord.Name: {RA, DEC} -statError
-calibrationStatus -locationName
-coord.Value -sysError
-ucd: pos -bounds
-unit: deg
-spaceRefFrame: FK5
-coordEquinox: J2000 Resolution.Spatial.RefVal
Resolution.Spatial
-refPos +ObsData.dataID
-independentAxis: true +ObsData.dataID
+AxisFrame.Spatial
-undersamplingStatus: false +AxisFrame.Spatial
+Resolution.Spatial.refVal
-regularStatus: true -refVal
-value: HPBW

50. CharDM — Temporal Axis
Accuracy
ObsData AxisFrame.Temporal Coverage.Time.Bounds
-quality
+Coverage.Temporal.bounds
-dataID +ObsData.dataID -statError
-coord.maxValue
-axisName: spatial -sysError
-coord.minValue
-calibrationStatus
-ucd: time
-unit: s Coverage.Temporal
-spaceRefFrame: UTC Coverage.Time.Location
-refPos: TOPOCENTRIC +ObsData.dataID
-independentAxis: true +Coverage.Temporal.locationName
+AxisFrame.Temporal
-undersamplingStatus: true -coord.Name: time
-locationName
-regularStatus: false -coord.Value
-bounds
Resolution.Temporal Coverage.Time.Support
+ObsData.dataID -startValue[n]
-refVal -endValue[n]

51. CharDM — Spectral axis
Accuracy
-quality
-statError Coverage.Spectral.Bounds
-statErrorHigh
ObsData AxisFrame.Spectral -statErrorLow +Coverage.Spectral.bounds
-sysError -coord.maxValue
-dataID +ObsData.dataID -sysErrorHigh -coord.minValue
-axisName: spatial -sysErrorLow
-calibrationStatus
-ucd: em Coverage.Spectrum.Location
-unit: Tmb, Tsky, Jy Coverage.Spectral
-refPos: +Coverage.Spectral.locationName
-dopplerDef -coord.Name: CentralFreq
+ObsData.dataID
-independentAxis: true -coord.Value
+AxisFrame.Spectral
-undersamplingStatus: false -coord.Name: MaxPeakFreq
-locationName
-numBins: 384 -coord.Value
-bounds
-regularStatus: true -coord.Name: MaxPeakValue
-coord.Value
Resolution.Spectral
Coverage.Spectrum.Support
+ObsData.dataID
-refVal -startValue[n]
-endValue[n]
SamplingPrecision.Spectral
+ObsData.dataID
-refVal: pixelScale

52. CharDM — Observable axis
Accuracy
-quality
-statError
-statErrorHigh
-statErrorLow Coverage.Observable.Bounds
ObsData AxisFrame.Observable
-sysError
+Coverage.Observable.bounds
-dataID +ObsData.dataID -sysErrorHigh
-coord.maxValue
-axisName: spatial -sysErrorLow
-coord.minValue
-calibrationStatus
-ucd: phot.flux
-unit: Jy/K, Jy/Beam Coverage.Observable
-independentAxis: true Coverage.Observable.Location
-undersamplingStatus: false +ObsData.dataID
-numBins: ADC bits/sample? +Coverage.Observable.locationName
+AxisFrame.Observable
-regularStatus: true -coord.Name: MaxPeakFlux
-locationName
-coord.Value
-bounds
Resolution.Observable Coverage.Observable.Support
+ObsData.dataID -startValue[n]
-refVal: flux/SNR -endValue[n]
SamplingPrecision.Observable
+ObsData.dataID
-refVal: ADC bits per sample?

53. Target
Target
• name
Observation • description
• class
• targetName • pos
• spectralClass
• redshift.statError
• redshift.Confidence

54. Provenance.Instrument
Provenance Observation
Location Instrument
-name InstrumentConf
+Instrument.locationName
-description
–latitude
-shortName
-longitude
-locationName
-height
-URL
AntennaConf Feed BeamConf
Antenna -name -polarisation: L,R,X,Y -name
+AntennaConf.name
-mount
-majorAxis
-minorAxis
-effectiveArea
{
Beam Receiver Spectrum Velocity
+beamConf.name +beamConf.Name +beamConf.name +beamConf.name
-beamMajor -skyCentreFreq -chanSeparation -chanSeparation
This set is defined
-beamMinor -ifCentreFreq -freqResol -velResol
for each instrument
-sensitivity -bandwidth -velRefFrame -velRefFrame
band AND receiver
-meanBeamSolidAngle -refChanNum -refChanNum
configuration
-minorBeamSolidAngle -refChanFreq -refChanVel
-directivity -restFreq -restFreq
-gain -molecule -molecule
-resolution -transition -transition

55. Provenance.
AmbientConditions
Observation Provenance InstrumentConf
OpacityCurve
AmbientConditions
+AmbientConditions.timeStamp
-timeStamp -opacity
-opacity -skydipStart
-temperature -azimuth
-humidity -elevation.[n]
-wind -tsky.[n]
-atmosphericModel

56. Provenance.Processing
Observation Provenance AmbientConditions
Processing InstrumentConf
-timeStamp
ProcessingStep Calibration
+Processing.timeStamp +Processing.timeStamp
-kind -parameter.name
-softwarePackage -parameter.kind
-parameter.name -parameter.value
-parameter.kind -parameter.sigma
-parameter.value -parameter.calCoeff[n]

57. Curation
coInvestigator PrincipalInvestigator Author
-Name -Name -Name
-Mail -Mail -Mail
will perform written by
originates from
encompasses
Project Proposal
Observation ObservingProgram
is one of
belongs ProjCategory
-ProjectID -Title
to -Title -Description -projCategory
-Description -scheduleType
common curation data
has data scheduled at is one of
Curation
ProjType
DataID Term
-Publisher belongs to
-projType
-PublisherID -observationID -startDate
-Logo -title -endDate
-Version -description
-Contributor -creator observed by
-Contact.Name -observerID
-Contact.Email -date Observer
-Subject -facility
–Service.InterfaceURL -Name
-instrument
-Service.BaseURL -Operator
-Service.StandardURI
-Service.StandardURL

58. Policy -userID
-name
Users
-institution
-contactInfo
Project provides
user
-ProjectID identification
+principalInvestigator
+coInvestigator[n]
-Title
-Description
Policy
User Role
DataID
+projectID Assignation
-roleKind Algorithm +projectID
-permissions -observationID
-title
-description
-creator
+observerID
+operatorID
-date
-facility
-instrument
Role and
Permissions

59. Start
Policy obsData.PrincipalInvestigator.ID ==
loggedUser.ID?
yes
loggedUser.role =
principalInvestigator
no
obsData.observer.ID == loggedUser.role =
yes
loggedUser.ID? observer
no
loggedUser.ID found on dbUsers, and loggedUser.role =
yes
observatoryStaff is true? observatoryStaff
no
loggedUser.ID found in loggedUser.role =
yes
obsData.coInvestagators array? coInvestigator
no
loggedUser.role =
none
Stop

60. VOPack Schema
/ schema originatingQuery
voPack ID
@ ID
@ version
description
originatingQuery
packUnit
1..
packUnit packUnitType
@ type
anyURI
@ URI
string
@ informationPath
description
packUnit
0..
characterisation
description
characterisation

61. References & Links
Integrating Radio Astronomical Archives and
Legacy Tools in the VO Framework, Ph.D. Thesis,
Chapter 5
Data Model for Astronomical DataSet
Characterisation
Spectral Data Model