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COMPARATIVE ANALYSIS OF NATIONAL OPEN
DATA PORTALS OR WHETHER YOUR PORTAL IS
READY TO BRING BENEFITS FROM OPEN DATA
14th Multi Conference on Computer Science and Information Systems, 13th International Conference on ICT, Society and Human Beings (21 – 23 July 2020)
Anastasija Nikiforova, PhD
Faculty of Computing, University of Latvia
Anastasija.Nikiforova@lu.lv
(The New York Times, The Economist, WIRED)
RATIONALE FOR THE STUDY
 open [government] data are considered as one of the most influenceable tool for
reducing corruption and reaching innovative solutions that create added value for
society
 it is important to ensure that they are provided in a form that are useful and suitable
for the original purpose of the open data that is achieved through high-quality and
user-friendly open data portals, allowing access to the data for all stakeholders 
 this would result in the transformation of the data into value for the society;
 despite many countries develop and launch their own OGD portals, they received a
great deal of criticism from both, society and technical experts;
The study aims to find the main challenges that can negatively impact
users’ experience through an analysis of usability of 42 open data
portals by applying a unified methodology on them allowing their
comparative analysis to be carried out
The McKinsey Global Institute report
estimated that open data could
add over $3 trillion annually
in total value to the global
economy.
The aggregate economic impact from
applications based on open data
across the EU27 economy
is estimated to be
€140 billion annually.
STATE OF THE ART. BENCHMARKS AND INDEXES
 Global Open Data Index follows the state of the OGD of 94 countries analysing 15 key datasets per country,
 only 11% of the data set entries were open according to their open definition,
✘ data are currently available only for 2016 (the evaluation process is quite complex), their finding may be considered
outdated;
 Open Data Barometer provides a snapshot of OGD practices focusing on open data readiness, implementation, and
emerging impacts.
✘ the most urgent, the 4th edition assessed these aspects for a sample of 30 countries in 2017 (113 countries in 2016);
 EU Open Data portal assesses 4 key aspects, namely policy, portal, impact and quality.
✔ one of the most up-to-date assessments (is used in this study)
 etc.
✓ the best progress in one year – Cyprus (24th place in 2017 2nd in 2018),
✓ the most impressive result in terms of continuous development - Latvia
✓ only 4 countries improve their positions from year to year – Ireland, Latvia, Italy,
and Malta,
✘ the most impressive negative result – Germany (23 positions between 2017 and 2018)
Rank Country 2019 2018 2017 2016
17 Belgium 17 ↓-2 15 ↑+3 12 ↓-1 11
18 Estonia 18 ↑+8 26↑+10 16 ↓-14 2
19 Denmark 19↑+10 29 ↑+2 27 ↓-10 17
20 Norway 20 ↑+2 22 ↓-8 14 14
21 Bulgaria 21 ↑+3 18 18 ↓-10 8
22 UK 22 ↓-6 16 ↓-5 11 ↑+5 16
23 Malta 23 ↑+8 31 31 ↑+1 32
24 Switzerland 24 ↓-7 17 ↑+8 25 ↓-3 22
25 Portugal 25 ↓-2 23 ↓-4 19 ↑+1 20
26 Sweden 26 ↓-5 21 ↓-4 17↑+10 27
27 Lithuania 27 27 ↑+1 28 ↓-3 25
28 Czech Republic 28 28 ↓-6 22 ↑+1 23
29 Slovakia 29 ↓-15 12 ↑+3 15 ↑+6 21
30 Hungary 30 - 30 ↓-2 28
31 Iceland 31 ↓-1 30 ↓-1 29 29
32 Liechtenstein 32 - 32 ↓-1 31
THE MATURITY OF OPEN DATA PORTALS
ACCORDING TO EUROPEAN DATA PORTAL
Rank Country 2019 2018 2017 2016
1 France 1 ↑+4 5 ↑+3 8 ↓-5 3
2 Spain 2 ↑+6 8 ↓-3 5 ↓-1 4
3 Ireland 3 3 3 ↑+7 10
4 Cyprus 4 ↓-2 2↑+22 24↓-6 18
5 Finland 5 ↓-4 1 ↑+5 6 ↑+3 9
6 Slovenia 6 ↑+1 7↑+13 20↓-7 13
7 Austria 7 ↑+3 10↓-1 9 ↓-4 5
8 Romania 8 ↓-4 4 4↑+11 15
9 Luxembourg 9 9 ↓-8 1 1
10 Netherlands 10↑+4 14↓-4 10↓-3 7
11 Latvia 11↑+8 19↑+2 21↑+9 30
12 Poland 12↓-1 11↑+12 23↑+1 24
13 Italy 13 13 13↑+6 19
14 Germany 14↑+9 25↓-23 2 ↑+4 6
15 Greece 15↓-9 6↑+20 26 26
16 Croatia 16↑+4 20↓-13 7 ↑+5 12 *The analysis is carried out by author
 despite the increase in popularity of the topics of the OGD and open data portals, the
ratio of these researches to the researches dealing with open data does not exceed 7%;
 the usability of open data portals is being studied even less frequently - over the last 5
years, only 6% of studies covering open data portal topic at least a little, mention the
usability;
 Existing studies:
✘ cover their own national OGD initiatives, which in most cases turns to the an
assessment of national open data portal(s), assessing them from different
perspectives such as:
 data, functionality, features,
 stakeholder participation, stakeholder feedback;
 the relevance of the data sets of a portal to the “5-stars” classification etc..
✘ focus mainly on data delivery and the data environment, considering what data
providers have done to facilitate users, but have not actually consulted users;
✘ lack a user perspective;
✘ lack a common methodology that would allow comparisons between studies and
portals.
STATE OF THE ART
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
22000
24000
26000
28000
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
The popularity of open data and OGD topics in
the scientific literature (2009-2019)
open data portal open government data or OGD
open data Линейная (open data portal)
 42 national open data portals;
 40 participants with IT background (well-designed experiment requires at least
30 participants - ✔);
 Experiment period: from January to May 2020;
 Method: (Máchová et al., 2018)* usability evaluation framework + additional requirements**
 3 categories (data specification, data set feedback, data set request)  14 aspects
 3-point Likert scale (1 – not fullfilled, 2 – partly, 3 - fulfilled)
Why?
✔ reflects all the functionality of the portal and typical tasks performed by users;
✔ considers a user perspective;
✔ complies with the majority principles used or mentioned by other well-known
researchers ((Charalabidis et al., 2018), (Attard et al., 2015), (Zuiderwijk et al., 2015));
✔ well-cited by other researchers.
** use-cases, multilingualims etc.
*Máchová, R. et al. (2018). Usability evaluation of open data portals. Aslib Journal of Information Management.
KEY POINTS
Open data specification Open data set
feedback
Open data set
request
(1a) description of data set
(1b) publisher of data set
(1c) thematic categories and
tags
(1d) release date and up to date
(1e) machine readable formats
(1f) open data licence
(1g) visualization and
analytics tools
(2a) documentation and
tutorials
(2b) forum and contact
form
(2c) user rating and
comments
(2d) social media and
sharing
(3a) request form
(3b) list of requests
(3c) involvement in
the process
Category Aspect Description
Open dataset
specification
a) Description of dataset Portal provides datasets together with their description and how and for what purpose they were collected
b) Publisher of dataset Portal provides information about organization that published datasets
c) Thematic categories and tags
Portal provides thematic categories of datasets to address the main topics covered. It distinguishes categories
(themes) from tags (keywords)
d) Release date and up to date Datasets are associated with a time or period tag, that is, date published, date updated and its frequency
e) Machine-readable formats Portal provides datasets formats that are machine-readable and allow easy re-use
f) Open data licence Portal provides license information related to the use of the published datasets
g) Visualization and statistics
Portal provides visualization and analytics capabilities to gain information about a dataset, e.g. in charts or
visualizations in maps.
Open dataset
feedback
a) Documentation and tutorials Portal provides high quality of documentation and tutorials to help users
b) Forum and contact form
Portal provides an opportunity to submit feedback on a dataset from the users to providers and forum to discuss and
exchange ideas among the users
c) User rating and comments Portal provides capabilities allowing the collection of user ratings and comments
d) Social media and sharing
Portal provides the integration with social media technologies to create a distribution channel for open data and
sharing feedback
Open dataset
request
a) Request form Portal provides a form to request or suggest new type or format type of open data
b) List of requests Portal provides a list of requests received from users, including the current state of request processing
c) Involvement in the process Portal provides capabilities allowing the involvement in the same dataset
ASPECTS COVERED IN THE FRAMEWORK TO BE APPLIED
# Country Languages I* II* III* TOTAL Rank
(EDP)
1 Cyprus EL, EN 20,2 10,63 7,34 38,17 4
2
Russia RU, EN 16,61 11,39 8,49 36,49 N/A
3 France EN, FR, ES 20,2 9,38 6,59 35,93 1
4
Spain ES, CA, GL, EU, EN 17,97 9,58 8,01 35,56 2
5
Taiwan EN, TW, CN 17,09 10,84 7,06 34,99 N/A
6
Canada EN, FR 17,57 8,97 8,22 34,76 N/A
7
Austria AU 18,84 11,59 4,31 34,74 7
8
Colombia ES, EN 17,59 8,36 8,24 34,19 N/A
9
New Zealand EN 17,67 7,26 8,78 33,71 N/A
10 Ireland EN, GA 17,7 8,79 7,09 33,58 3
11
Portugal EN, FR, ES, PT 19,01 10,69 3,65 33,35 25
12 Finland FI, SV, EN 18,7 10,85 3,35 32,9 5
13
Lithuania LT, EN 15,27 8,19 8,75 32,21 27
14
Slovenia SL +Google Translate 18,71 9,15 4,28 32,14 6
15
India EN 18,39 8,16 5,22 31,77 N/A
16
Netherlands NL 15,97 8,41 7,16 31,54 10
17
Latvia LV, EN 16,43 8,28 6,76 31,47 11
18
USA EN 17,54 8,97 4,63 31,14 N/A
19
Singapore EN 19,08 6,51 4,90 30,49 N/A
20
Estonia EE, EN 16,81 8,66 4,94 30,41 18
21
Slovakia SK, EN 16,08 9,48 4,58 30,14 29
n – competitive in a specific aspect, should be considered as an example
n – very weak result, improvement needs to be made, it is worth looking at leaders (in green)
RESULTS I
*Categories:
I category: open data specification
II category: open data set feedback
III category: open data set request
*Categories:
I category: open data specification
II category: open data set feedback
III category: open data set request
# Country Languages I* II* III* TOTA
L
Rank
(EDP)
22 Luxembourg EN, FR 17,17 9,19 3,61 29,97 9
23 Romania RO, EN +23 more* 15,29 10,14 3,03 28,46 8
24 Australia EN 16,41 6,25 5,44 28,1 N/A
25 Germany DE 15,52 8,67 3,18 27,37 14
26 Norway NO 16,48 7,52 3,33 27,33 20
27 Croatia CR 15,09 6,51 5,72 27,32 16
28 Sweden SW 15,61 4,94 6,42 26,97 26
29 Greece GR 16,79 6,9 3,15 26,84 15
30 Poland PL, EN 14,88 6,61 5,01 26,5 12
31 Liechtenstein EN, FR, PT, ES 15,93 5,9 4,63 26,46 32
32 Iceland IS, EN 17,22 5,7 3,23 26,15 31
33 Japan JP, EN 15,1 5,96 4,96 26,02 N/A
34 Switzerland EN 16,63 5,31 4 25,94 24
35 Italy IT 16,09 6,54 3,09 25,72 13
36 UK EN 15,4 6,7 3,5 25,6 22
37 Belgium EN, NL, FR, DE 15,1 6,88 3,47 25,45 17
38 Bulgaria BG, EN 15,88 4,89 4,29 25,06 21
39 Hungary HU +37 more* 15,81 5,7 3 24,51 30
40 Denmark DA 15,58 5,48 3 24,06 19
41 Czech Republic CZ, EN 13,45 6,15 4,19 23,79 28
42 Malta EN, MT 12,41 6,18 4,03 22,62 23
n – competitive in a specific aspect, should be considered as an example
n – very weak result, improvement needs to be made, it is worth looking at leaders (in green)
RESULTS II
0
3
6
9
12
15
18
21
24
27
30
33
36
39
42
Cyprus
Russia
France
Spain
Taiwan
Canada
Austria
Colombia
Ireland
Portugal
Finland
Lithuania
Slovenia
India
Netherlands
Latvia
USA
Singapore
Estonia
Slovakia
Luxembo…
Romania
Australia
Germany
Norway
Croatia
Sweden
Greece
Poland
Liechtenst…
Iceland
Japan
Switzerland
Italy
UK
Belgium
Bulgaria
Hungary
Denmark
Czech
…
Malta
38,2
36,5 35,9 35,6 35,0 34,8 34,7 34,2 33,7 33,6 33,4 32,9 32,2 32,1 31,8 31,5 31,5 31,1 30,5 30,4 30,1 30,0
28,5 28,1 27,4 27,3 27,3 27,0 26,8 26,5 26,5 26,2 26,0 25,9 25,7 25,6 25,5 25,1 24,5 24,1 23,8 22,6
points
(12
to
42)
country
Overall rate per country
80-
89%
60-
69%
70-
79%
50-
59%
90-100%
(91%)
RESULTS. OVERALL RATE PER COUNTRY
max – 42 points
min – 14 points
RESULTS. RATE BY CATEGORY
 “open data set specification” appears to be the
best among the assessed, - 2.38 points out of 3
(total of 16.7 out of 21),
 the second – “open dataset feedback” - gained
only 1.98 points (total of 7.9 out of 12),
 “open dataset request” – 1.72 points (total of 5.2
out of 9).
RESULTS. OPEN DATASET SPECIFICATION
Criterion:
(1a) description of data set
(1b) publisher of data set
(1c) thematic categories and tags
(1d) release date and up to date
(1e) machine readable formats
(1f) open data licence
(1g) visualization and analytics tools
 Max points: 21 points
 Max observed: 20,2 (Cyprus)
 Min points: 7
 Min observed: 12,4 (Malta*)
* Malta is currently working on their portal hardly
 the best category among the assessed - assessed on average by 2.38 points out of 3
(total of 16.7 out of 21);
 the best results: Cyprus, France, Singapoore, Portugal, Austria, Slovenia, Finland,
India and Spain, with a score of between 18 and 20.2 out of 21 points;
 The lowest results with 12.4 to 15.3 points were gained by Malta, Chezch Republic,
Poland, Croatia, Belgium, Japan, Lithuania and Romania.
RESULTS. OPEN DATASET FEEDBACK
 The most successful portals are Austrian, Finnish, Russian, Taiwanese,
Portuguese, Cypriot and Romanian portals, estimated between 11.59 and 10.14
out of 12 points (2,5-2,9 out of 3).
this aspect appears to be very weak for Bulgaria, Sweden, Switzerland, Denmark,
Hungary, Iceland, Liechtenstein and Japan, as the overall score is below 6 points
(1,5 out of 3).
Criterion:
(2a) documentation and tutorials
(2b) forum and contact form
(2c) user rating and comments
(2d) social media and sharing
Max points: 12 points
Max observed: 11,59 (Cyprus)
Min points: 4
Min observed: 4,89 (Malta)
RESULTS. OPEN DATA REQUEST
Criterion:
(3a) request form
(3b) list of requests
(3c) involvement in the process
Max points: 9 points
Max observed: 11,59 (Cyprus)
Min points: 3
Min observed: 3 (Malta, Czech Republic)
the best results: New Zealand, Lithuania, Russia, Colombia, Canada, Spain and
Cyprus, with a score of between 8.78 and 7.34 out of 9 points.
the lowest results with 3 to 3.15 points - Denmark, Hungary, Romania, Italy and
Greece;
22 out of 42 open data portals do not have the possibility to request a data set  it
impacts both, the “list of open datasets requests” and “involvement in the
process” aspects  the average score of this category is the worst among all
analysed – only 5.16 out of 9 points.
The Irish portal assumes that the request can
be commented  the portal’s employees explain to the
users whether (and why) the request can or cannot be
met - a great opportunity that can create feedback and
educate users.
RESULTS BY ASPECT
 5 aspects – critically low result;
 4 out of 5 aspects are related (at least partly) to
cooperation between data consumers and users;
 6 aspects – good enough but should be improved;
 Only 3 aspects are assessed with more than 2,5 out
of 3 points – but even these results are not high
enough, since this means that the assessment of
these aspects is close to “partly fulfilled”
 4 out of 5 weakest aspects are related (at least partly) to cooperation between data consumers;
 a total of 7 aspects - only 4 countries scored at least 17.5 out of 21 points – Spain (17.59),
Canada (17.9), Cyprus (17.97), Russia (19.88);
 6 countries scored less than 10 points (Italy, Switzerland, Bulgaria, Iceland, Hungary and Denmark).
improvements must be made as regards to these aspects since they are directly related to the main portals’
objective.
COOPERATION AND FEEDBACK
FEW MORE EXAMPLES
A few more examples that demonstrate a positive example of involving data users:
Cyprus and the assessment of user satisfaction through the “satisfactory survey” covering different aspects
such as website design, organization/ searchability of data, formats of data sets, API, overall state of open
data portal, which supports the possibility for users to express their opinion by answering specific
questions;
Spain, which provides an information on a list of events related to open data which facilitates public
engagement, and organize so-called “challenges” to attract users;
Canada, which suggests “student challenges”. These opportunities supply the abovementioned
functionality.
 33.33% of the portals analysed are available in only one language;
 only 42.86% of them are available in English, while other portals are
available in only one country language, thereby reducing the number of
potential users - for some countries this may not have a serious impact,
however, such “big players” as Germany, Denmark, Austria etc., may lose
potential users;
 even if the portal is available in more than one language, only part of its content is
sometimes translated, but most of the information is provided in the main language;
 unusual positive examples - the portal of Slovenia provides a built-in Google
Translate that allows the content of the entire portal to be adapted.
MULTILINGUALISM Country Languages
EL, EN
RU, EN
EN, FR, ES
ES, CA, GL, EU, EN
EN, TW, CN
EN, FR
AU
ES, EN
EN
EN, GA
EN, FR, ES, PT
FI, SV, EN
LT, EN
SL +Google Translate
EN
NL
LV, EN
EN
EN
EE, EN
SK, EN
Country Languages
EN, FR
RO, EN +23 more*
EN
DE
NO
CR
SW
GR
PL, EN
EN, FR, PT, ES
IS, EN
JP, EN
EN
IT
EN
EN, NL, FR, DE
BG, EN
HU +37 more*
DA
CZ, EN
EN, MT
USE-CASES
 use-cases or showcases - open data based applications published or at least mentioned in portal,
thereby enabling users to get an insight of the potential of open data (Zuiderwijk et al., 2015).
 30 out of the 42 open data portals analysed (71.43%) provides showcases, which
number may range from 3 (Slovakia) to 2044 (France).
 in some cases, such as France, Luxembourg or Portugal, the national portal has a
“use case upload” feature.
 18 portals offer a mapping between the use cases and the data sets that these
use cases are based on (for instance, Ireland), that should impact an insight of
the potential of open data even better, thereby increasing public participation.
 42 national open data portals were analysed by applying to them a single common framework allowing their
comparative analysis to be carried out;
 there are portals that can be considered as leaders and as an example for the less successful open data portals
(Cyprus, France, Russia, Spain, Taiwan, Canada, Austria, Colombia, New Zealand, Ireland, Portugal);
 even more successful open data portals have the room for improvements. In addition, the study shows that, in cases
of less successful portals, certain aspects are sometimes better implemented;
 the study highlights the weakest aspects for 42 national open data portals analysed (4 out of 5 are related (at least
partly) to feedback and cooperation between data consumers and users), pointing on both, the most common
weakest points, and individual;
 This should allow national open data portals to improve the usability of their portals.
RESULTS
FUTURE WORK
 to extend the results provided to a more detailed coverage of portals and individual aspects in order
to provide comprehensive overview of the state of play of the open data portals;
 to find foreign collaborators (preferably from the countries representing the leading portals) to jointly
address challenges through exchange of experience;
 it is recommended that countries analyse their portals in depth, thereby extending this study, since some
aspects should be covered by citizens of the country, as demonstrated in (Nikiforova, 2020)*, by providing
a set of aspects covered by the framework used with additional aspects, as well as by analysing data sets.
*Nikiforova, A. (2020) Assessment of the usability of Latvia’s open data portal or how close are we to gaining
benefits from open data. In IADIS International Conference on Interfaces and Human Computer Interaction
THANK YOU!
For more information, see ResearchGate
See also anastasijanikiforova.com
For questions or any other queries, contact me via email - Anastasija.Nikiforova@lu.lv
Article: Nikiforova, A. (2020). Comparative analysis of national open data portals or whether your portal is ready
to bring benefits from open data. In IADIS International Conference on ICT, Society and Human Beings (p.21-23).

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Comparative analysis of national open data portals or whether your portal is ready to bring benefits from open data. In IADIS International Conference on ICT, Society and Human Beings

  • 1. COMPARATIVE ANALYSIS OF NATIONAL OPEN DATA PORTALS OR WHETHER YOUR PORTAL IS READY TO BRING BENEFITS FROM OPEN DATA 14th Multi Conference on Computer Science and Information Systems, 13th International Conference on ICT, Society and Human Beings (21 – 23 July 2020) Anastasija Nikiforova, PhD Faculty of Computing, University of Latvia Anastasija.Nikiforova@lu.lv
  • 2. (The New York Times, The Economist, WIRED) RATIONALE FOR THE STUDY  open [government] data are considered as one of the most influenceable tool for reducing corruption and reaching innovative solutions that create added value for society  it is important to ensure that they are provided in a form that are useful and suitable for the original purpose of the open data that is achieved through high-quality and user-friendly open data portals, allowing access to the data for all stakeholders   this would result in the transformation of the data into value for the society;  despite many countries develop and launch their own OGD portals, they received a great deal of criticism from both, society and technical experts; The study aims to find the main challenges that can negatively impact users’ experience through an analysis of usability of 42 open data portals by applying a unified methodology on them allowing their comparative analysis to be carried out The McKinsey Global Institute report estimated that open data could add over $3 trillion annually in total value to the global economy. The aggregate economic impact from applications based on open data across the EU27 economy is estimated to be €140 billion annually.
  • 3. STATE OF THE ART. BENCHMARKS AND INDEXES  Global Open Data Index follows the state of the OGD of 94 countries analysing 15 key datasets per country,  only 11% of the data set entries were open according to their open definition, ✘ data are currently available only for 2016 (the evaluation process is quite complex), their finding may be considered outdated;  Open Data Barometer provides a snapshot of OGD practices focusing on open data readiness, implementation, and emerging impacts. ✘ the most urgent, the 4th edition assessed these aspects for a sample of 30 countries in 2017 (113 countries in 2016);  EU Open Data portal assesses 4 key aspects, namely policy, portal, impact and quality. ✔ one of the most up-to-date assessments (is used in this study)  etc.
  • 4. ✓ the best progress in one year – Cyprus (24th place in 2017 2nd in 2018), ✓ the most impressive result in terms of continuous development - Latvia ✓ only 4 countries improve their positions from year to year – Ireland, Latvia, Italy, and Malta, ✘ the most impressive negative result – Germany (23 positions between 2017 and 2018) Rank Country 2019 2018 2017 2016 17 Belgium 17 ↓-2 15 ↑+3 12 ↓-1 11 18 Estonia 18 ↑+8 26↑+10 16 ↓-14 2 19 Denmark 19↑+10 29 ↑+2 27 ↓-10 17 20 Norway 20 ↑+2 22 ↓-8 14 14 21 Bulgaria 21 ↑+3 18 18 ↓-10 8 22 UK 22 ↓-6 16 ↓-5 11 ↑+5 16 23 Malta 23 ↑+8 31 31 ↑+1 32 24 Switzerland 24 ↓-7 17 ↑+8 25 ↓-3 22 25 Portugal 25 ↓-2 23 ↓-4 19 ↑+1 20 26 Sweden 26 ↓-5 21 ↓-4 17↑+10 27 27 Lithuania 27 27 ↑+1 28 ↓-3 25 28 Czech Republic 28 28 ↓-6 22 ↑+1 23 29 Slovakia 29 ↓-15 12 ↑+3 15 ↑+6 21 30 Hungary 30 - 30 ↓-2 28 31 Iceland 31 ↓-1 30 ↓-1 29 29 32 Liechtenstein 32 - 32 ↓-1 31 THE MATURITY OF OPEN DATA PORTALS ACCORDING TO EUROPEAN DATA PORTAL Rank Country 2019 2018 2017 2016 1 France 1 ↑+4 5 ↑+3 8 ↓-5 3 2 Spain 2 ↑+6 8 ↓-3 5 ↓-1 4 3 Ireland 3 3 3 ↑+7 10 4 Cyprus 4 ↓-2 2↑+22 24↓-6 18 5 Finland 5 ↓-4 1 ↑+5 6 ↑+3 9 6 Slovenia 6 ↑+1 7↑+13 20↓-7 13 7 Austria 7 ↑+3 10↓-1 9 ↓-4 5 8 Romania 8 ↓-4 4 4↑+11 15 9 Luxembourg 9 9 ↓-8 1 1 10 Netherlands 10↑+4 14↓-4 10↓-3 7 11 Latvia 11↑+8 19↑+2 21↑+9 30 12 Poland 12↓-1 11↑+12 23↑+1 24 13 Italy 13 13 13↑+6 19 14 Germany 14↑+9 25↓-23 2 ↑+4 6 15 Greece 15↓-9 6↑+20 26 26 16 Croatia 16↑+4 20↓-13 7 ↑+5 12 *The analysis is carried out by author
  • 5.  despite the increase in popularity of the topics of the OGD and open data portals, the ratio of these researches to the researches dealing with open data does not exceed 7%;  the usability of open data portals is being studied even less frequently - over the last 5 years, only 6% of studies covering open data portal topic at least a little, mention the usability;  Existing studies: ✘ cover their own national OGD initiatives, which in most cases turns to the an assessment of national open data portal(s), assessing them from different perspectives such as:  data, functionality, features,  stakeholder participation, stakeholder feedback;  the relevance of the data sets of a portal to the “5-stars” classification etc.. ✘ focus mainly on data delivery and the data environment, considering what data providers have done to facilitate users, but have not actually consulted users; ✘ lack a user perspective; ✘ lack a common methodology that would allow comparisons between studies and portals. STATE OF THE ART 0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 22000 24000 26000 28000 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 The popularity of open data and OGD topics in the scientific literature (2009-2019) open data portal open government data or OGD open data Линейная (open data portal)
  • 6.  42 national open data portals;  40 participants with IT background (well-designed experiment requires at least 30 participants - ✔);  Experiment period: from January to May 2020;  Method: (Máchová et al., 2018)* usability evaluation framework + additional requirements**  3 categories (data specification, data set feedback, data set request)  14 aspects  3-point Likert scale (1 – not fullfilled, 2 – partly, 3 - fulfilled) Why? ✔ reflects all the functionality of the portal and typical tasks performed by users; ✔ considers a user perspective; ✔ complies with the majority principles used or mentioned by other well-known researchers ((Charalabidis et al., 2018), (Attard et al., 2015), (Zuiderwijk et al., 2015)); ✔ well-cited by other researchers. ** use-cases, multilingualims etc. *Máchová, R. et al. (2018). Usability evaluation of open data portals. Aslib Journal of Information Management. KEY POINTS Open data specification Open data set feedback Open data set request (1a) description of data set (1b) publisher of data set (1c) thematic categories and tags (1d) release date and up to date (1e) machine readable formats (1f) open data licence (1g) visualization and analytics tools (2a) documentation and tutorials (2b) forum and contact form (2c) user rating and comments (2d) social media and sharing (3a) request form (3b) list of requests (3c) involvement in the process
  • 7. Category Aspect Description Open dataset specification a) Description of dataset Portal provides datasets together with their description and how and for what purpose they were collected b) Publisher of dataset Portal provides information about organization that published datasets c) Thematic categories and tags Portal provides thematic categories of datasets to address the main topics covered. It distinguishes categories (themes) from tags (keywords) d) Release date and up to date Datasets are associated with a time or period tag, that is, date published, date updated and its frequency e) Machine-readable formats Portal provides datasets formats that are machine-readable and allow easy re-use f) Open data licence Portal provides license information related to the use of the published datasets g) Visualization and statistics Portal provides visualization and analytics capabilities to gain information about a dataset, e.g. in charts or visualizations in maps. Open dataset feedback a) Documentation and tutorials Portal provides high quality of documentation and tutorials to help users b) Forum and contact form Portal provides an opportunity to submit feedback on a dataset from the users to providers and forum to discuss and exchange ideas among the users c) User rating and comments Portal provides capabilities allowing the collection of user ratings and comments d) Social media and sharing Portal provides the integration with social media technologies to create a distribution channel for open data and sharing feedback Open dataset request a) Request form Portal provides a form to request or suggest new type or format type of open data b) List of requests Portal provides a list of requests received from users, including the current state of request processing c) Involvement in the process Portal provides capabilities allowing the involvement in the same dataset ASPECTS COVERED IN THE FRAMEWORK TO BE APPLIED
  • 8. # Country Languages I* II* III* TOTAL Rank (EDP) 1 Cyprus EL, EN 20,2 10,63 7,34 38,17 4 2 Russia RU, EN 16,61 11,39 8,49 36,49 N/A 3 France EN, FR, ES 20,2 9,38 6,59 35,93 1 4 Spain ES, CA, GL, EU, EN 17,97 9,58 8,01 35,56 2 5 Taiwan EN, TW, CN 17,09 10,84 7,06 34,99 N/A 6 Canada EN, FR 17,57 8,97 8,22 34,76 N/A 7 Austria AU 18,84 11,59 4,31 34,74 7 8 Colombia ES, EN 17,59 8,36 8,24 34,19 N/A 9 New Zealand EN 17,67 7,26 8,78 33,71 N/A 10 Ireland EN, GA 17,7 8,79 7,09 33,58 3 11 Portugal EN, FR, ES, PT 19,01 10,69 3,65 33,35 25 12 Finland FI, SV, EN 18,7 10,85 3,35 32,9 5 13 Lithuania LT, EN 15,27 8,19 8,75 32,21 27 14 Slovenia SL +Google Translate 18,71 9,15 4,28 32,14 6 15 India EN 18,39 8,16 5,22 31,77 N/A 16 Netherlands NL 15,97 8,41 7,16 31,54 10 17 Latvia LV, EN 16,43 8,28 6,76 31,47 11 18 USA EN 17,54 8,97 4,63 31,14 N/A 19 Singapore EN 19,08 6,51 4,90 30,49 N/A 20 Estonia EE, EN 16,81 8,66 4,94 30,41 18 21 Slovakia SK, EN 16,08 9,48 4,58 30,14 29 n – competitive in a specific aspect, should be considered as an example n – very weak result, improvement needs to be made, it is worth looking at leaders (in green) RESULTS I *Categories: I category: open data specification II category: open data set feedback III category: open data set request
  • 9. *Categories: I category: open data specification II category: open data set feedback III category: open data set request # Country Languages I* II* III* TOTA L Rank (EDP) 22 Luxembourg EN, FR 17,17 9,19 3,61 29,97 9 23 Romania RO, EN +23 more* 15,29 10,14 3,03 28,46 8 24 Australia EN 16,41 6,25 5,44 28,1 N/A 25 Germany DE 15,52 8,67 3,18 27,37 14 26 Norway NO 16,48 7,52 3,33 27,33 20 27 Croatia CR 15,09 6,51 5,72 27,32 16 28 Sweden SW 15,61 4,94 6,42 26,97 26 29 Greece GR 16,79 6,9 3,15 26,84 15 30 Poland PL, EN 14,88 6,61 5,01 26,5 12 31 Liechtenstein EN, FR, PT, ES 15,93 5,9 4,63 26,46 32 32 Iceland IS, EN 17,22 5,7 3,23 26,15 31 33 Japan JP, EN 15,1 5,96 4,96 26,02 N/A 34 Switzerland EN 16,63 5,31 4 25,94 24 35 Italy IT 16,09 6,54 3,09 25,72 13 36 UK EN 15,4 6,7 3,5 25,6 22 37 Belgium EN, NL, FR, DE 15,1 6,88 3,47 25,45 17 38 Bulgaria BG, EN 15,88 4,89 4,29 25,06 21 39 Hungary HU +37 more* 15,81 5,7 3 24,51 30 40 Denmark DA 15,58 5,48 3 24,06 19 41 Czech Republic CZ, EN 13,45 6,15 4,19 23,79 28 42 Malta EN, MT 12,41 6,18 4,03 22,62 23 n – competitive in a specific aspect, should be considered as an example n – very weak result, improvement needs to be made, it is worth looking at leaders (in green) RESULTS II
  • 10. 0 3 6 9 12 15 18 21 24 27 30 33 36 39 42 Cyprus Russia France Spain Taiwan Canada Austria Colombia Ireland Portugal Finland Lithuania Slovenia India Netherlands Latvia USA Singapore Estonia Slovakia Luxembo… Romania Australia Germany Norway Croatia Sweden Greece Poland Liechtenst… Iceland Japan Switzerland Italy UK Belgium Bulgaria Hungary Denmark Czech … Malta 38,2 36,5 35,9 35,6 35,0 34,8 34,7 34,2 33,7 33,6 33,4 32,9 32,2 32,1 31,8 31,5 31,5 31,1 30,5 30,4 30,1 30,0 28,5 28,1 27,4 27,3 27,3 27,0 26,8 26,5 26,5 26,2 26,0 25,9 25,7 25,6 25,5 25,1 24,5 24,1 23,8 22,6 points (12 to 42) country Overall rate per country 80- 89% 60- 69% 70- 79% 50- 59% 90-100% (91%) RESULTS. OVERALL RATE PER COUNTRY max – 42 points min – 14 points
  • 11. RESULTS. RATE BY CATEGORY  “open data set specification” appears to be the best among the assessed, - 2.38 points out of 3 (total of 16.7 out of 21),  the second – “open dataset feedback” - gained only 1.98 points (total of 7.9 out of 12),  “open dataset request” – 1.72 points (total of 5.2 out of 9).
  • 12. RESULTS. OPEN DATASET SPECIFICATION Criterion: (1a) description of data set (1b) publisher of data set (1c) thematic categories and tags (1d) release date and up to date (1e) machine readable formats (1f) open data licence (1g) visualization and analytics tools  Max points: 21 points  Max observed: 20,2 (Cyprus)  Min points: 7  Min observed: 12,4 (Malta*) * Malta is currently working on their portal hardly  the best category among the assessed - assessed on average by 2.38 points out of 3 (total of 16.7 out of 21);  the best results: Cyprus, France, Singapoore, Portugal, Austria, Slovenia, Finland, India and Spain, with a score of between 18 and 20.2 out of 21 points;  The lowest results with 12.4 to 15.3 points were gained by Malta, Chezch Republic, Poland, Croatia, Belgium, Japan, Lithuania and Romania.
  • 13. RESULTS. OPEN DATASET FEEDBACK  The most successful portals are Austrian, Finnish, Russian, Taiwanese, Portuguese, Cypriot and Romanian portals, estimated between 11.59 and 10.14 out of 12 points (2,5-2,9 out of 3). this aspect appears to be very weak for Bulgaria, Sweden, Switzerland, Denmark, Hungary, Iceland, Liechtenstein and Japan, as the overall score is below 6 points (1,5 out of 3). Criterion: (2a) documentation and tutorials (2b) forum and contact form (2c) user rating and comments (2d) social media and sharing Max points: 12 points Max observed: 11,59 (Cyprus) Min points: 4 Min observed: 4,89 (Malta)
  • 14. RESULTS. OPEN DATA REQUEST Criterion: (3a) request form (3b) list of requests (3c) involvement in the process Max points: 9 points Max observed: 11,59 (Cyprus) Min points: 3 Min observed: 3 (Malta, Czech Republic) the best results: New Zealand, Lithuania, Russia, Colombia, Canada, Spain and Cyprus, with a score of between 8.78 and 7.34 out of 9 points. the lowest results with 3 to 3.15 points - Denmark, Hungary, Romania, Italy and Greece; 22 out of 42 open data portals do not have the possibility to request a data set  it impacts both, the “list of open datasets requests” and “involvement in the process” aspects  the average score of this category is the worst among all analysed – only 5.16 out of 9 points. The Irish portal assumes that the request can be commented  the portal’s employees explain to the users whether (and why) the request can or cannot be met - a great opportunity that can create feedback and educate users.
  • 15. RESULTS BY ASPECT  5 aspects – critically low result;  4 out of 5 aspects are related (at least partly) to cooperation between data consumers and users;  6 aspects – good enough but should be improved;  Only 3 aspects are assessed with more than 2,5 out of 3 points – but even these results are not high enough, since this means that the assessment of these aspects is close to “partly fulfilled”
  • 16.  4 out of 5 weakest aspects are related (at least partly) to cooperation between data consumers;  a total of 7 aspects - only 4 countries scored at least 17.5 out of 21 points – Spain (17.59), Canada (17.9), Cyprus (17.97), Russia (19.88);  6 countries scored less than 10 points (Italy, Switzerland, Bulgaria, Iceland, Hungary and Denmark). improvements must be made as regards to these aspects since they are directly related to the main portals’ objective. COOPERATION AND FEEDBACK
  • 17. FEW MORE EXAMPLES A few more examples that demonstrate a positive example of involving data users: Cyprus and the assessment of user satisfaction through the “satisfactory survey” covering different aspects such as website design, organization/ searchability of data, formats of data sets, API, overall state of open data portal, which supports the possibility for users to express their opinion by answering specific questions; Spain, which provides an information on a list of events related to open data which facilitates public engagement, and organize so-called “challenges” to attract users; Canada, which suggests “student challenges”. These opportunities supply the abovementioned functionality.
  • 18.  33.33% of the portals analysed are available in only one language;  only 42.86% of them are available in English, while other portals are available in only one country language, thereby reducing the number of potential users - for some countries this may not have a serious impact, however, such “big players” as Germany, Denmark, Austria etc., may lose potential users;  even if the portal is available in more than one language, only part of its content is sometimes translated, but most of the information is provided in the main language;  unusual positive examples - the portal of Slovenia provides a built-in Google Translate that allows the content of the entire portal to be adapted. MULTILINGUALISM Country Languages EL, EN RU, EN EN, FR, ES ES, CA, GL, EU, EN EN, TW, CN EN, FR AU ES, EN EN EN, GA EN, FR, ES, PT FI, SV, EN LT, EN SL +Google Translate EN NL LV, EN EN EN EE, EN SK, EN Country Languages EN, FR RO, EN +23 more* EN DE NO CR SW GR PL, EN EN, FR, PT, ES IS, EN JP, EN EN IT EN EN, NL, FR, DE BG, EN HU +37 more* DA CZ, EN EN, MT
  • 19. USE-CASES  use-cases or showcases - open data based applications published or at least mentioned in portal, thereby enabling users to get an insight of the potential of open data (Zuiderwijk et al., 2015).  30 out of the 42 open data portals analysed (71.43%) provides showcases, which number may range from 3 (Slovakia) to 2044 (France).  in some cases, such as France, Luxembourg or Portugal, the national portal has a “use case upload” feature.  18 portals offer a mapping between the use cases and the data sets that these use cases are based on (for instance, Ireland), that should impact an insight of the potential of open data even better, thereby increasing public participation.
  • 20.  42 national open data portals were analysed by applying to them a single common framework allowing their comparative analysis to be carried out;  there are portals that can be considered as leaders and as an example for the less successful open data portals (Cyprus, France, Russia, Spain, Taiwan, Canada, Austria, Colombia, New Zealand, Ireland, Portugal);  even more successful open data portals have the room for improvements. In addition, the study shows that, in cases of less successful portals, certain aspects are sometimes better implemented;  the study highlights the weakest aspects for 42 national open data portals analysed (4 out of 5 are related (at least partly) to feedback and cooperation between data consumers and users), pointing on both, the most common weakest points, and individual;  This should allow national open data portals to improve the usability of their portals. RESULTS
  • 21. FUTURE WORK  to extend the results provided to a more detailed coverage of portals and individual aspects in order to provide comprehensive overview of the state of play of the open data portals;  to find foreign collaborators (preferably from the countries representing the leading portals) to jointly address challenges through exchange of experience;  it is recommended that countries analyse their portals in depth, thereby extending this study, since some aspects should be covered by citizens of the country, as demonstrated in (Nikiforova, 2020)*, by providing a set of aspects covered by the framework used with additional aspects, as well as by analysing data sets. *Nikiforova, A. (2020) Assessment of the usability of Latvia’s open data portal or how close are we to gaining benefits from open data. In IADIS International Conference on Interfaces and Human Computer Interaction
  • 22. THANK YOU! For more information, see ResearchGate See also anastasijanikiforova.com For questions or any other queries, contact me via email - Anastasija.Nikiforova@lu.lv Article: Nikiforova, A. (2020). Comparative analysis of national open data portals or whether your portal is ready to bring benefits from open data. In IADIS International Conference on ICT, Society and Human Beings (p.21-23).