Endusers - Dataversity
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Transcript Endusers - Dataversity
The National Vegetation Survey
Databank (NVS) and LUCAS
Susan Wiser
Landcare Research
Lincoln, New Zealand
MoRST Data Sharing Workshop 25 March 2009
http://nvs.landcareresearch.co.nz/
>77 000
Relevés
>19 000
permanent
plots
Formulation: Evolution of NVS
1960s
Standardised methods for inventory and
monitoring of native vegetation developed
Late
1960s
Beginning of electronic data capture
Late
1980s
Process for centrally archiving electronic and
hard copy data formalised
1998
Nationally Significant database status accorded
by FRST
2001
NVS moved from outdated platform to relational
database
2003
Formal assessment of end-user needs
7000
• >10,000 new plot records since June
2005
6000
5000
4000
3000
• 1-2 requests per week
2000
1000
0
2004-05
2005-06
2006-07
2007-08
• Support for standardised data collection
Year
• Protocols for data use
Increase in large data requests
Average number of datasets/request
No. of plots added to NVS
Strand 1: Anticipating and meeting
enduser needs
35
30
25
20
15
10
5
2003-04 2004-05 2005-06 2006-07 2007-08
Year
Strand 2: State-of-the-art data
management
Strand 3: Leadership in synthesis and
integration: Integrated with NZ standard
taxonomic names database
Geographic standards allow ready
integration with spatial layers to show
species distributions
...and to allow ready integration with
spatial layers
Historic relationship between NVS and LUCAS
• Original 1990 baseline based on forest data archived in NVS
• Variance in C estimates at different grid densities guided plot
network density
• Plot protocols extended Forest Service 20 x 20 protocol
• 16% of plots in LUCAS natural forests network predated the
network; data archived in NVS
• LUCAS holds copy of historic data from pre-existing plots
• Paper and electronic copies of all above-ground data from LUCAS
plot network archived in NVS
LUCAS
Why is LUCAS data archived in NVS?
• Provide a conduit for discovery and usage of LUCAS
data by a wider range of endusers
• One query against both databases more efficient for
endusers
• Continuity for remeasurement of LUCAS plots in preexisting networks
• Formats compatible with NVS-specific analytical
software and other packages
LUCAS
Endusers
How this works: archiving data
LUCAS
1. Tables/fields
mapped onto NVS
tables/fields
2. Validation checks
3. Recent corrections added
4. Validation queries
LUCAS
How this works: data requests
Endusers
Obtain
permission
LUCAS
Private Landowners
Provide
Request
permissions
data
Inform
Provide
of permission
data
required
Where to from here?
• Further work on versioning
• Move towards using an exchange
standard and distributed databases
Where to from here: use of an
exchange standard
LUCAS
Veg-X
exchange standard
Endusers
Endusers
http://wiki.tdwg.org/twiki/bin/view/Vegetation/WebHome