Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit...

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SDI assessment

Transcript of Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit...

Page 1: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

SDI assessment

Page 2: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Questions

Why there is a need to do an assessment?

How the assessment results are further used?

Page 3: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Assessment/Evaluation• A study designed and conducted to assist some audience to assess

an object’s merit and worth (Stufflebeam, 2000)

• The fundamental purpose of evaluation is to create greater

understanding (Taylor-Powell, et al., 1996)

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Assessment framework

• System of methods and processes to support

evaluation/assessment.

Page 4: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Assessment purposes (Chelimsky, 1997)

Accountability – to test if the

program works

Knowledge – to better understand

the program

Developmental – to improve the

program

Formative

evaluation

Summative

evaluation

Page 5: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)
Page 6: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)
Page 7: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

„The STIG – A new SDI assessment method” (2015)

Bujar Nushi, Bastiaan Van Loenen, Joep Crompvoets

„Efficiency, Effectiveness, and User Satisfaction of Web-Based Ontology

Browsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun,

Kursat Cagiltay

„Assessing Corporate Spatial Data Infrastructures” (2013) LP de Vries

„Towards an online Self-Assessment Methodology for SDIs” GA Giff, J

Jackson

„Assessing the Development of Kenya National Spatial Data Infrastructure

(KNSDI)” (2014). J Okuku, A. Bregt, L Grus

„Multi-view SDI assessment of Kosovo” (2012) B Nushi, B Van Loenen, JWJ

Besemer, J Crompvoets

Inspire monitoring and reporting

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Page 8: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Inspire and assessment

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Page 9: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)
Page 10: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Monitoring

Quantitative

Yearly

Reporting

Qualitative

Every 3 yrs

Page 12: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Some principles of assessing SDIs13

Page 13: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Complex nature of a SDI;

Truly complex problems can only be approached

with complex resources (Cilliers, 1998);

Multi-faceted view is needed in understanding

concrete SDI initiative (De Man, 2006);

Page 14: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Use multiple assessment methods and

approaches;

Do not oversimplify;

Incorporate different views/understandings;

Flexibility;

Page 15: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)
Page 16: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Assessment result

Framework applied in 21 countries

Data collected by means of survey

Survey filled in by SDI coordinators (on behalf of

authorized SDI institution)

4 SDI assessment approaches were used:

Clearinghouse, SDI readiness, INSPIRE State of Play,

Organizational

SDI assessment

Page 17: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Clearinghouse suitability approach (in%)

49

0

100

50

76

60

0

47

0

46

76

75

49

0

36

0

96

0

52

41

0 20 40 60 80 100 120

Argentina

Brazil

Canada

Chile

Colombia

Cuba

Denmark

Ecuador

Guyana

Jamaica

Malaysia

Mexico

Nepal

Netherlands

Poland

Serbia

Spain

Turkey

Uruguay

Average per sample

Page 18: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

SDI Readiness approach (in%)

53

56

64

59

66

53

65

42

41

58

39

58

32

59

48

37

70

37

55

50

0 10 20 30 40 50 60 70 80

Argentina

Brazil

Canada

Chile

Colombia

Cuba

Denmark

Ecuador

Guyana

Jamaica

Malaysia

Mexico

Nepal

Netherlands

Poland

Serbia

Spain

Turkey

Uruguay

Average per sample

Page 19: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

INSPIRE State of Play approach (in%)

52

50

74

50

76

59

59

59

27

65

44

73

55

59

39

55

71

32

52

56

0 10 20 30 40 50 60 70 80

Argentina

Brazil

Canada

Chile

Colombia

Cuba

Denmark

Ecuador

Guyana

Jamaica

Malaysia

Mexico

Nepal

Netherlands

Poland

Serbia

Spain

Turkey

Uruguay

Average per sample

Page 20: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Organizational approach (in%)

50

75

100

75

100

75

75

75

50

100

50

75

50

75

50

50

75

50

50

70

0 20 40 60 80 100 120

Argentina

Brazil

Canada

Chile

Colombia

Cuba

Denmark

Ecuador

Guyana

Jamaica

Malaysia

Mexico

Nepal

Netherlands

Poland

Serbia

Spain

Turkey

Uruguay

Average per sample

Page 21: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Average results in percentages from all assessment approaches

85

79

78

70

67

62

58

56

54

52

52

51

50

48

46

45

43

35

30

29

0 10 20 30 40 50 60 70 80 90

Canada

Colombia

Spain

Mexico

Jamaica

Cuba

Chile

Ecuador

Average per sample

Malaysia

Uruguay

Argentina

Denmark

Netherlands

Nepal

Brazil

Poland

Serbia

Turkey

Guyana

Page 22: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Assessment results

One year later another measurement of the Dutch SDI

was performed

Page 23: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Clearinghouse suitability approach (in%)

49

0

100

50

76

60

0

47

0

46

76

75

49

0

36

0

96

0

52

41

0 20 40 60 80 100 120

Argentina

Brazil

Canada

Chile

Colombia

Cuba

Denmark

Ecuador

Guyana

Jamaica

Malaysia

Mexico

Nepal

Netherlands

Poland

Serbia

Spain

Turkey

Uruguay

Average per sample

December

2007

Page 24: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Clearinghouse suitability approach (in%)

49

0

100

50

76

60

0

47

0

46

76

75

49

79

36

0

96

0

52

45

0 20 40 60 80 100 120

Argentina

Brazil

Canada

Chile

Colombia

Cuba

Denmark

Ecuador

Guyana

Jamaica

Malaysia

Mexico

Nepal

Netherlands

Poland

Serbia

Spain

Turkey

Uruguay

Average per sample

October

2008

Page 25: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Differences in Clearinghouse suitability SDI

approach

National Georegister “almost” ready

Clearinghouse suitability indicators measured

georegister

www.nationaalgeoregister.nl

Page 26: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

SDI Readiness approach (in%)

53

56

64

59

66

53

65

42

41

58

39

58

32

59

48

37

70

37

55

50

0 10 20 30 40 50 60 70 80

Argentina

Brazil

Canada

Chile

Colombia

Cuba

Denmark

Ecuador

Guyana

Jamaica

Malaysia

Mexico

Nepal

Netherlands

Poland

Serbia

Spain

Turkey

Uruguay

Average per sample

December

2007

Page 27: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

SDI Readiness approach (in%)

53

56

64

59

66

53

65

42

41

58

39

58

32

71

48

37

70

37

55

51

0 10 20 30 40 50 60 70 80

Argentina

Brazil

Canada

Chile

Colombia

Cuba

Denmark

Ecuador

Guyana

Jamaica

Malaysia

Mexico

Nepal

Netherlands

Poland

Serbia

Spain

Turkey

Uruguay

Average per sample

October

2008

Page 28: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Differences in SDI readiness approach results

Indicators December 2007 October 2008

Politician vision regarding SDI 0.35 0.8

Institutional leadership 0.5 0.65

Umbrella legal agreement(s) 0.65 0.8

Digital cartography availability 0.65 0.8

Metadata availability 0.5 0.5

Human Capital 0.99 0.99

SDI culture 0.65 0.8

Individual leadership 0.65 0.65

Web connectivity 0.73 0.73

Telecommunication infrastructure 0.68 0.68

Geospatial software availability 0.65 0.8

Own geoinformatics development 0.65 0.8

Open source culture 0.35 0.5

Government central funding 0.5 0.65

Return on investment 0.35 0.65

Private sector activity 0.5 0.5

Page 29: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

INSPIRE State of Play approach (in%)

52

50

74

50

76

59

59

59

27

65

44

73

55

59

39

55

71

32

52

56

0 10 20 30 40 50 60 70 80

Argentina

Brazil

Canada

Chile

Colombia

Cuba

Denmark

Ecuador

Guyana

Jamaica

Malaysia

Mexico

Nepal

Netherlands

Poland

Serbia

Spain

Turkey

Uruguay

Average per sample

December

2007

Page 30: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

INSPIRE State of Play approach (in%)

52

50

74

50

76

59

59

59

27

65

44

73

55

71

39

55

71

32

52

57

0 10 20 30 40 50 60 70 80

Argentina

Brazil

Canada

Chile

Colombia

Cuba

Denmark

Ecuador

Guyana

Jamaica

Malaysia

Mexico

Nepal

Netherlands

Poland

Serbia

Spain

Turkey

Uruguay

Average per sample

October

2008

Page 31: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

INSPIRE State of Play approach - changes

INDICATOR Dec 2007 Oct 2008

The SDI-initiative has a long-term and clear vision about the national SDI 0,5 1

There is documented data quality control procedures applied at the level of the national

SDI

0 0,5

Concern for interoperability goes beyond conversion between data formats (e.g.

hardware/software/data definitions)

0,5 1

One or more standardized metadata catalogues are available covering more than one data

producing agency

0,5 1

One national on-line access service for metadata (clearinghouse) is available providing

metadata of more than one data producing agency

0 0,5

There are one or more web mapping service available for core spatial data 0,5 1

Page 32: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Organizational approach (in%)

50

75

100

75

100

75

75

75

50

100

50

75

50

75

50

50

75

50

50

70

0 20 40 60 80 100 120

Argentina

Brazil

Canada

Chile

Colombia

Cuba

Denmark

Ecuador

Guyana

Jamaica

Malaysia

Mexico

Nepal

Netherlands

Poland

Serbia

Spain

Turkey

Uruguay

Average per sample

Page 33: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Average results in percentages from all assessment approaches

85

79

78

74

70

67

62

58

56

54

52

52

51

50

46

45

43

35

30

29

0 10 20 30 40 50 60 70 80 90

Canada

Colombia

Spain

Netherlands

Mexico

Jamaica

Cuba

Chile

Ecuador

Average per sample

Malaysia

Uruguay

Argentina

Denmark

Nepal

Brazil

Poland

Serbia

Turkey

Guyana

Page 34: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Assessing the Dutch SDI

Page 35: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)
Page 36: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Embedding GEO in eGovernment

Key GEO registers

Implementing INSPIRE

Creating added value

Knowledge, innovation and edu.

Organization, steering, directing

Cooperation

Supply optimization

Page 37: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Assessing GIDEON – Dutch GII

Ministrie I&M asked for

GIDEON implementation progress reporting and

monitoring (yearly)

Page 38: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

1st GIDEON assessment type

Page 39: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

2nd GIDEON assessment type

Page 40: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

3rd GIDEON assessment

type

Page 41: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Phase 2 Assessment approachIndicator 1. The number of visitors of the Dutch national georegister.

Indicators 2. Availability of datasets and services

Indicator 3. The use of view and download services

Indicator 2. The percentage of datasets from GIDEON annex 1

that are available without any restrictions

Indicator 1. General governmental policy terms for (re)use of

geographical information.

}

Indicator 3. Yearly turnover of the geo-information

business in the Netherlands

Indicator 1. The level of cooperation within 5 chains of the GIDEON.

Indicator 2. The use of geo information within

e-government processes

Indicator 1. The number of Geo-information events

Indicator 2. The number of unfulfilled vacancies in geo-sector

Indicator 3. Expenditure of Geo ICT sector in the Netherlands

on research and development.

Indicator 4. Expenditure of research sector on R&D.

}

}

{

Page 42: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Indicator 1.1 Gemiddelde aantal bezoekers NGR per dag

Hotspots van het aantal terugkerende gebruikers van het NGR

Page 43: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Indicator 1.2 Beschikbaarheid van datasets en services

Page 44: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Indicator 2.1: Algemeen overheidsbeleid voor het (her)gebruik van geo-informatie

Page 45: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Indicator 2.2: Het % datasets dat beschikbaar is zonder gebruiksbeperkingen

Page 46: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Indicator 2.3: Jaarlijkse omzet van de geo-bedrijfssector in Nederland

Page 47: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Indicator 4.1: Het aantal geo-events in Nederland per jaar

Page 48: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Conclusions

Assessment often an integral part of SDI

Difficulties due to SDI complexity

Helps to monitor the implementation and

achievement of goals

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Page 49: Professional Application DevelopmentBrowsers” (2015) Turkan Karakus Yilmaz, Umut Durak, Halit Oguztuzun, Kursat Cagiltay „Assessing Corporate Spatial Data Infrastructures” (2013)

Questions?

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