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User-centric SDI Addressing Users in 3 rd -Generation SDI Development eContentplus Hennig, S.; Wallentin, G.; Belgiu, M.; Hörmanseder, K.

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Page 1: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

User-centric SDI

Addressing Users in

3rd-Generation SDI Development

eContentplus

Hennig, S.; Wallentin, G.; Belgiu, M.; Hörmanseder, K.

Page 2: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Towards a 3rd Generation SDI

Background

1st SDI generation 2nd SDI generation 3rd SDI generation

Level/Focus Explicitly nationalNational; including

hierarchical context Cross-scale

Development

motivationData-driven

Link between

people and dataUser-driven

Expected outcomesLinkage into a seamless

database

Knowledge

infrastructures

Platform for a spatially

enabled society

Development

participantsData providers Cross-sectoral

Users (producers,

consumers, prosumers)

Development

approachProduct-based Process-based User-centric

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience

Page 3: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

3

Nature-SDIplus

ANNEX I

1. Coordinate reference

systems

2. Geographical grid systems

3. Geographical names

4. Administrative units

5. Addresses

6. Cadastral parcels

7. Transport networks

8. Hydrography

9. Protected sites

ANNEX II

1. Elevation

2. Land cover

3. Orthoimagery

4. Geology

ANNEX III

1. Statistical units

2. Buildings

3. Soil

4. Land use

5. Human health and safety

6. Utility and governmental

services

7. Environmental monitoring

facilities.

8. Production and industrial

facilities

9. Agricultural and

aquaculture facilities

10. Population distribution —

demography

11. Area

12. Natural risk zones

13. Atmospheric conditions

14. Meteorological geographical

features

15. Oceanographic geographical

features

16. Sea regions

17. Bio-geographical regions

18. Habitats and biotopes

19. Species distribution

20. Energy resources

21. Mineral resources

Background

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience

Page 4: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience

SDI – an infrastructure for the user

Effectiveness Efficiency Satisfaction

Usability in terms of…

• spatial data

• metadata

• tools

Background

Page 5: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Background

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience

Page 6: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience 6

Questionnaire Design

Online questionnaire

(tool: SurveyMonkey)

67 Questions in 10 Sections

Methods

Page 7: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience 7

Survey respondents

22 countries

314 valid responses

Methods

Page 8: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

8

Analysis

>60 Questions

> 300 samples

>20 countries

Descriptive

(univariate)

statistics

Explorative

(bivariate)

statistics

Multi-

variate

statistics

… generate generic „knowledge“ on the users

being the fundament for the develoment of

data models, metadata profils, web services …

Methods

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience

Page 9: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience 9

Users

Results

Page 10: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience 10

User Groups Producer �������� Consumer

Public Sector

General administration:

EU authorities,

member states authorities,

local & regional authorities

50 % �� 50 %

Basic EducationPrimary (4–11 y) & secondary schools (11–

18 y)0 % �� 100 %

Higher Education

& Research

Public & Private:

universities/ colleges,

life-long learning

museums & comparable facilities

51 % �� 49 %

ResearchPublic & private:

research institutes51 % �� 49 %

Commercial

Agencies concerned with engineering,

consulting, environmental management,

industrial companies

35 % �� 65 %

Nature

Conservation

Nature Conservation authorities,

protected areas68 % �� 32 %

NGO & CitizensEnvironmental NGOs,

everyone55 % �� 45 %

Results

Page 11: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience

Users

Results

Page 12: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Gudrun W

alle

ntin

Austria

n Academy of S

ciences, In

st. f. GIScience

Data

0

10

20

30

40

50

60

70

80

90

Fishing

Archaelogy

Depth & Bathymetry

Aquaculture

Tourism

Agriculture

Landownership

Potentiell Vegetation

Red List Species

Clima

Animals

Transport

Soil

Geology

Non-Protected Habitats & Biotops

Plants

Land Use Change

Forestry

Hydrology

Administrative Units

Actual Vegetation

Actual Land Use

Altitude & Topography

Protected Habitats & Biotops

PA Boundaries

Cross-se

ctoral d

ata th

emes

(e.g. sp

ecies, h

abita

ts & biotops)

Results

Page 13: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience

Data

72%73%

75%

69%

64% 63%

57%

0

10

20

30

40

50

60

70

80

AnalogueData

RasterData

VectorData

AttributeData

TemporalData

MetaData

CatalogueData

0

5

10

15

20

25

30

35

40

Results

Page 14: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience

0

10

20

30

40

50

60

70

80

use often/ sometimes

47 %

60 %

57 %

48 %

53 %

45 %

49 %

56 %

46 %

36 %

24 %

24 % 28 %

25 %

19 % 23 %

20 % 24 %

23 %

22 %

20%

13%

0

10

20

30

40

50

60

70Problemsdifferent institutes data

Problemsdifferent countries data

Data

Results

Page 15: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Metadata

28 %

37 %

10 %

24 %

0

5

10

15

20

25

30

35

40

Metadata use No metadata use I don´t know No information

Results

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience

Page 16: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience

Tools/ Functions

53% 54%55%

59% 60% 61%63% 64% 64% 65% 66%

69%71%

0

10

20

30

40

50

60

70

80

basicadvanced

Results

Page 17: User-centric SDIUser-driven Expected outcomes Linkage into a seamless database Knowledge infrastructures Platform for a spatially enabled society Development participants Data providers

Gudrun Wallentin

Austrian Academy of Sciences, Inst. f. GIScience

Conclusions