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Annual
report
2017
Annual report
2017
Our organization was founded in May 2015. Over the past
three years, we have been sustainably progressing in our
organizational development while consistently promoting the
importance of quality and responsible data handling in our
society.
Each year we implement increasingly large-scale and
interesting projects dealing with multiple spheres. We've
earned the conļ¬dence of partners and donors from the US
and Europe. In Ukraine we collaborate with analytical centers,
public institutions, community-based organizations, and small-
and medium-sized businesses.
In 2017 we began working with public health data (e.g.:
palliative care statistics), gender data (analyzing Ministry of
Justice open data). In 2017 we have implemented 7 projects
concerned with a number of public activity spheres, including
trainings, research and development of data processing tools.
We continue to pursue open data development, data quality
improvement and enhancement of data collection systems.
3
Our mission
A society in which politicians, business, and civil society
make mutually beneļ¬cial, measured and reasoned
decisions based on data from various sources that
accurately reļ¬‚ect reality.
In pursuing our mission, we:
ā€” collect and systematize data sets;
ā€” develop systems (including geographic information
systems) for easy and visual presentation of data;
ā€” prepare analytical reports based on comprehensive
data analysis;
ā€” develop online tools for working with data;
ā€” foster a culture of data-based decision making among
government and civil society.
We strive to create
a society of smart
decisions
4
Trainings
Open data
for government oļ¬ƒcials
Project was implemented with support from the National
Endowment for Democracy, and in partnership with the
Center for Ukrainian Reform Education, State Agency for
e-governance in Ukraine.
Two-day trainings held in 5 cities of Ukraine (Kyiv, Lviv, Odesa,
Kharkiv, and Dnipro), attended by participants from all regions
of Ukraine.
Topics of trainings:
ā€” the concept of open data, examples of open data use in
Ukraine and abroad;
ā€” data formats, machine-readable data, data structuring and
cleaning, open data formats;
ā€” data processing using electronic spreadsheets;
ā€” basics of statistics and data analysis, data visualization;
ā€” preparing data for publication as open data;
ā€” microdata and protection of personal data.
Nearly 400 requests for participation in training programs
were received. 167 participants were selected representing
sectors of education, health care, police, justice, as well as IT
and public information access specialists from executive
authorities and local self-government.
5
Project implementation included ļ¬ve webinars, each
covering a speciļ¬c training topic, both for participants, and
for the general public. As of the writing of this report, the
overall number of views for these webinars exceeded
1800.
The follow-up survey of participants was conducted two
months after the trainings to determine progress in data
use practices and to ļ¬nd out how helpful and applicable
these trainings were for them.
The signiļ¬cant share of participants reported positive
progress ā€” 75% of respondents reported increased
eļ¬ƒciency in working with data, 57% ā€” improvements in
data culture (i.e. demanded more accurate and clear data
from their colleagues), 21% demonstrated the use of data
in diļ¬€erent publishing formats.
6
10% of respondents reported publishing more data sets
(presumably due to an acquired awareness of the
publicity of nearly all data in possession of data owner),
while conversely 1,4% - reported less publishing
(presumably because of unwillingness to publish
unstructured formats such as PDF or scanned images).
Training participants learned to ļ¬nd and identify structured
data and ļ¬le formats suitable for disclosure of open data
(81,7%), although some participants still consider PDF to be
appropriate for open data publication.
Response analysis leads to the conclusion that ā€œOpen Data
for Government Oļ¬ƒcialsā€ trainings have helped executive
and local self-government oļ¬ƒcials extend their theoretical
and practical knowledge of open data, processing and
security thereof.
Moreover, communication with civil servants about open
data revealed issues in response to which we have
developed recommendations for the State Agency for
e-governance in Ukraine (https://bit.ly/2qJiXuc).
Selected structured formats
Selected PDF among others
Selected wrong formats
82%
4%
14%
Distribution of responses to the question: "Which of the given file formats are most
appropriate for publication of open data?" Answer choices included various file
types.
7
Smartphone app
for election observers
In the sphere of data collection and analysis tools
development activity, the team of Ukrainian Center for Social
Data with support of New Media Development Group NFP
has initiated the development of a mobile application for
elections process monitoring. Full implementation of the
project is scheduled in 2018.
This mobile application will enable election observers to
rapidly collect data on the progress of the electoral process
and maintain records of violations.
For the convenience of observers the system will include
scenarios (templates) featuring all process stages: prior to
the election date, the day of election, the of vote count stage
and election results determination.
8
An ā€œalert buttonā€ will enable an observer to record a violation,
its type, and to take photographic or video evidence thereof.
The application also includes a template for a violation report.
Where applicable the observer may take photographic or video
evidence and attach such records to the respective data.
The system is intended for observers representing both
non-governmental organizations and parties / candidates. Use
of the app will optimize the work of observers greatly, will
make the recording of the election process data as simple and
fast as possible. And this, in turn, will increase the
transparency and fairness of elections, will help candidates
and their teams to respond promptly and defend the votes of
their voters, if necessary.
9
Trainings
Working with data for small and
medium business associations
Experts of Ukrainian Center for Social Data have held a
program of trainings and coaching for small and medium
business associations on working with data: collection,
processing, analysis, representation and use, both in terms
of ensuring better services to their members and for better
advocacy ā€” and inļ¬‚uence on the small and medium
business operation environment in Ukraine.
This educational program was delivered within the
framework of the project ā€œStrengthening small and medium
enterprises business membership organizationsā€
implemented by UNDP in cooperation with the Ministry of
Economic Development and Trade of Ukraine and with the
ļ¬nancial support of the State Secretariat for Economic
Aļ¬€airs of Switzerland (SECO).
A webinar and a series of on-site trainings for members of
seven business associations were held covering the
following issues:
ā€” receiving data from members, survey of members;
ā€” conducting surveys;
ā€” data formats, clearing and structuring data;
ā€” obtaining data on environment;
ā€” methods of data processing, сollating and analysis;
ā€” responsible data management;
ā€” data-based products development;
ā€” data security and dissemination of data.
10
Consultations and coaching were held for members of
business associations regarding the development of their own
indexes, collection, conversion and analysis of open data,
enhancement of business associationsā€™ data management
systems, and more eļ¬ƒcient use of data for marketing,
advocacy and lobbying purposes.
The project included development of a toolkit for business
associations enabling them to use open data from the
Ministry of Justice ā€” namely the Uniļ¬ed State Register of
Legal Entities, Individual Entrepreneurs and Public
Organizations.
These tools enabled users to:
ā€” determine the proportion of men and women in
enterprise management;
ā€” determine types of communities hosting enterprise
registrations;
ā€” analyze the Uniļ¬ed State Register in view of business types
and the type of international economic activity (using data
from the VAT refund register).
11
Research
Women and men
in leadership position
in Ukraine
The research ā€” the ļ¬rst of this kind ā€” was conducted as a
part of the UNDP Ukraine project ā€œStrengthening small and
medium enterprises business membership organizationsā€, in
cooperation with the NGO ā€œLeague of Business and
Professional Women of Ukraineā€. Tendencies in leadership
among men and women in oļ¬ƒcially registered agencies,
organizations and enterprises in terms of area and type of
activity were reviewed. Open USREOU data, published by the
Ministry of Justice of Ukraine in June 2017 was used as the
principal data array for analysis. The overall dataset of over
6 million USREOU records was processed. The analysis
covered 2 706 837 records of active legal entities and
individual entrepreneurs (IEā€™s).
Questions we sought to answer through this research:
1. How signiļ¬cant is gender imbalance among organization
and enterprise leaders in Ukraine?
2. In what areas and types of activity do women leaders
prevail and what are the reasons for that?
3. Are there any speciļ¬c regional or geographical features
of gender distribution of leaders and entrepreneurs?
12
USREOU data do not have a separate ā€œgenderā€ parameter;
however, it speciļ¬es the surname, name and patronymic of
an individual entrepreneur and chief executive of a legal
entity. Consequently, the use of dedicated software enabled
us to determine the gender of individual entrepreneurs or
chief executives of legal entities from the register by the
identifying patronymic suļ¬ƒxes ā€œ-ovych/ -ychā€ for men and
ā€œ-ivna/ -yivnaā€ for women.
Using the principal type of business activity (class) under
KVED (classiļ¬cation of economic activity) stated at the time
of registration of legal entity or individual entrepreneur, we
performed analysis by sectors, partitions and classes of
KVED, as well as by region, type of community (city / village)
and by community size (population).
13
1 708 909 IEā€™s ā€” 63% of all of the
economic entities54% 46%
997 928 legal entities ā€” 37% of all of the
economic entities70% 30%
Open data analysis resulted in the following
conclusions:
1. Gender imbalance is signiļ¬cant among organization
leaders (70% men and 30% women) and almost
absent among individual entrepreneurs (54% men
and 46% women). General correlation of men and
women among organization leaders and
entrepreneurs is 60% to 40%.
2. The imbalance occurs due to both lower business
activity of women and the status of working women:
they tend to work as employees more frequently
while the share of self-employed and
managers/employers among them is lower when
compared to men.
3. Organizational leadership in bigger cities is more
gender balanced; however, this is to a larger extent
because of men managing more "feminine" sectors.
Smaller towns and villages demonstrate more
discernable sectoral gender proļ¬le.
4. Education is prevalently a ā€œfeminineā€ sphere in
Ukraine. There are other typically ā€œfeminineā€ and
ā€œmasculineā€ types of activity in diļ¬€erent sectors.
Results of the research are avaliable online: https://bit.ly/2HqAm5W.
14
Modelling
Electoral systems
with open party lists
Introduction of the electoral system with so called ā€œopen
party listsā€ has been debated in Ukraine for many years now.
And the parliamentary coalition agreement of 2014 even
provisioned transition to the use of proportional
representation electoral system with open party lists ā€” for
parliamentary and speciļ¬c local elections. At the same time,
since dozens of diļ¬€erent kinds of proportional
representation electoral system with open party lists are
used around the globe, politicians did not have a single
vision on what precisely system should be used for the
future parliamentary and local elections.
So the International Foundation for Electoral Systems (IFES)
in Ukraine carried out a study ā€œOpen party lists electoral
system: in the search for the optimal model for Ukraineā€.
This research reviewed main beneļ¬ts and drawbacks of
diļ¬€erent kinds of electoral systems, which could be used in
Ukraine, key elements of proportional electoral systems,
draft laws aimed at reforming electoral system for
parliamentary elections were analyzed.
15
PEOPLEā€™S
FRONT88 SOLIDARNIST
PETRO POROSHENKO BLOC89RADICAL PARTY
OF OLEG LYASHKO30
CIVIC
POSITION12
SVOBODA 19
SAMOPOMICH
UNION44
SOLIDARITY OF
UKRAINE WOMEN2
ZASTUP10
STRONG
UKRAINE12
OPPPOSITION
BLOC 38
5.101
INTERNET
PARTY1
CPU15
ALL-UKRAINIAN UNION
FATHERLAND22
RIGHT
SECTOR7
Composition of the Verkhovna Rada. Netherlands model.
The publication of the research results, for more visual
explanation, what results use of that or another electoral
system would produce, also contains the modelling using
the voting data of parliamentary elections of 26 October
2014, carried out by Serhij Vasylchenko, Head of the Board
of Ukrainian Center for Social Data. It was shown how the
Verkhovna Rada (parliament of Ukraine) could look like, if
elections of 2014 had been conducted according to
Estonian, Netherlands, Polish, Czech and Swedish electoral
systems.
This publication was disseminated among the members of
Parliament of Ukraine and expert public, who are interested in
electoral issues. Publication is available online:
https://bit.ly/2EZmJEI.
16
Website
Local elections
in territorial communities
of Ukraine
In 2016 the Ukrainian Center for Social Data, supported by
OSCE, the Ministry of Foreign Aļ¬€airs of Canada, the Norway
Ministry of Foreign Aļ¬€airs and the Government of Denmark
within the framework of ā€œDeveloping Election Training
Capacity and Enhancing Voter Awarenessā€ project, launched
an updated version of the website ā€œLocal elections in
territorial communitiesā€ ā€” info-vybory.in.ua.
The website visualizes information on where, when and how
the elections in Ukrainian territorial communities have been
or are intended to be held along with, among other
information, data on the temporal dynamics of territorial
communitiesā€™ uniļ¬cation process. The website is notable for
its easily accessible information on elections in local
communities, as well as intuitive and user-friendly
navigation ā€” the required information can be found in a
mere three clicks.
During 2017, we continued supporting the website by
continuously updating new content. Over the course of the
year, the website displayed information on upcoming
scheduled elections in communities (village, town, city
councils, in newly amalgamated communities) from diļ¬€erent
oblasts of Ukraine. Altogether in 2017, 1092 elections were
scheduled in amalgamated territorial communities, among
them, 660 ā€” elections to local councils, 271 ā€” elections of
mayors and 61 ā€” of starostas.
17
Based on the website data, a number of publications were
released covering the progress of administrative reform in
Ukraine (amalgamation of communities and elections
therein).
Today the website attracts 52 thousand visitors from all over
the Globe: USA, Canada, Europe, Russia, China, countries of
North Africa, Australia and New Zealand. In Ukraine, the
websitesā€™ most active users are from Kyivska, Lvivska,
Dnipropetrovska and Zaporizka oblasts.
Between 1 January through 31 December 2017, the
info-vybory.in.ua website was visited more than 91,000
times. According to the website survey, the principle group
of its users consists of voters and active citizens (42,3%
collectively); candidates, their representatives or party
members ā€” 14.6% of visitors; election committee members
ā€” 11.2%; government oļ¬ƒcials ā€” 11.2%; NGOā€™s ā€” 5%.
18
Research
and development
Valid and reliable statistical
reporting on palliative care
Palliative care is an approach that improves the quality of life of
patients and their families facing problems associated with
life-threatening illness, through the prevention and relief of
suļ¬€ering by means of early identiļ¬cation and assessment and
treatment of pain and other, physical, psychosocial and spiritual
problems.
In Ukraine today it is still impossible to determine with suļ¬ƒcient
accuracy how many people in Ukraine suļ¬€er from a lack of
quality palliative care, how many of them live with chronic pain
syndrome, and how many people lack access to eļ¬€ective
painkillers or ability to end their life in dignity. This state of
aļ¬€airs implies the lack of a reliable system of collection and
compilation of data on both palliative care provision and the
demand for it.
Hence, in 2017 with support from the International Renaissance
Foundation we launched the project ā€œValid and Reliable
Statistical Reporting on Palliative Care in Ukraineā€. The project
aims to analyze the available data ā€” and develop and
implement reliable statistical reporting in the sphere of
palliative care of Ukraine.
At the initial stage of project implementation we analyzed legal
documents, regulations, statistical data forms and international
practices of palliative care. We determined key challenges
arising from existing Ukrainian indicators, overviewed best
international practices.
19
Analysis of data collection practices on provision of palliative
care was performed by sending requests to regional healthcare
departments on provision of public information, acquisition,
structuring and analysis of collected data:
https://bit.ly/2HKRbpl.
At the same time, we drafted medical statistical report forms on
palliative care provision, together with online data collection
forms for recording data of execution of the Uniļ¬ed clinical
protocol for chronic pain syndrome. Both the draft medical
statistical report form, and the online form were tested in the
pilot region ā€” Poltavska oblast.
In addition, we performed a palliative care need modeling based on
oļ¬ƒcial MoH procedures, WHO and UNICEF recommendations, as well
as oļ¬ƒcial data ā€”mortality data (courtesy State Statistics Service of
Ukraine) and disease prevalence data (courtesy MoH MedStat).
Today one of the major challenges is the fact that this medical data is
recorded only on paper. Some oblast health departments failed to
use even existing data, appealing to the absence of certain oļ¬ƒcial
statistical palliative care surveys.
20
21
Outpatient
Inpatient
Velyka
BahachkaŠ¹
Hlobyne
Hrebinka
Dykanka
Zinkiv
Karlivka
Kobeliaky
Kozelshchynskyi
Kotelva
Mashivka
Novi Sanzhary
Orzhytsia
Reshetylivka
Semenivka
Š›Š¾Ń…Š²ŠøцьŠŗŠøŠ¹
Pyriatyn
Khorol
Chornukhy
Shyshaky
Chutove
Lubny
ŠšŃ€ŠµŠ¼ŠµŠ½Ń‡ŃƒŃ†ŃŒŠŗŠøŠ¹
Poltava
Myrhorod
Hadyatskyi
11 g per 10 thous.
population
5.4 g per 10 thous.
1.1 g per 10 thous.
Zinkiv
Mashivka
Shyshaky
Reshetylivka
Khorol
Velyka Bahachka
Hrebinka
Pyriatyn
Kotelva
Hadyatskyi
Dykanka
Orzhytsia
Chornukhy
Kozelshchynskyi
Lubny
Poltava
Kremenchuk
Semenivka
Chutove
Kobeliaky
Lokhvytsia
Hlobyne
Karlivka
Myrhorod
Novi Sanzhary
Morphine delivery within ā€œPoltavapharmā€ drugstores network
by Rayons of the Poltava Oblast, grams per 10,000 people, 2015
At the same time there is a problem of quality of data in the
healthcare sector posed by the threat of falsiļ¬cation. An important
conceptual issue remains operationalization of diļ¬€erent types of
palliative care for tracking purposes ā€” as opposed to assigning the
status of ā€œpalliative patientā€.
According to the analysis of palliative care-related data (mortality,
disease prevalence), the problem of data quality is quite acute for the
whole healthcare sector. Some records may fall under suspicion of
falsiļ¬cation. Multiple errors and mismatches in data point to the
necessity to implement fully electronic information systems,
end-to-end tracking to the level of individual patient, and availability of
detailed data in real-time, online mode.
Modelling
Need in palliative
care in Ukraine
In the framework of ā€œValid and Reliable Statistical Reporting on
Palliative Care in Ukraineā€ project we performed a study
(https://bit.ly/2vCY21I) to determine palliative care need based
on oļ¬ƒcial data and using the existing oļ¬ƒcial methodological
recommendations.
The assessment of need for adults was performed based on
mortality data for 2005-2016, provided by the State Statistics
Service of Ukraine, and for children ā€” based on disease
prevalence data for 2016 provided by the Medical Statistics
Center at the Ministry of Health of Ukraine. Approaches used for
adults were recommended by WHO and World Palliative Care
Association (WPCA); for children ā€” by UNICEF and The
International Childrenā€™s Palliative Care Network (ICPCN).
Adults
Cardiovascular diseases
Cancer
Chronic obstructive pulmonary disease
Cirrhosis of liver
Tuberculosis
HIV/AIDS
Diabetes mellitus
Kidney diseases
Parkinson disease
Alzheimerā€™s disease
Rheumatoid arthritis
Multiple sclerosis
262 757
62 924
4 514
3 828
3 648
3 214
1 249
896
129
117
112
105
Children
Cardiovascular diseases
Congenital anomalies
Cerebral palsy
Neonatal conditions
Diabetes mellitus
Cancer
Dementia and mental retardation
Inļ¬‚ammatory diseases of the CNS
Tuberculosis
Chronic hepatitis
121 255
98 125
9 923
8 010
5 374
4 651
3 625
3 041
497
455
22
-
According to the State Statistics Service data, the need for
palliative care in 2016 was 343,5 thousand adults (985
persons per 100 000 of adult population), while the need
among children ā€” 255 thousand (3 348 kids per 100
thousand children population).
Our study revealed a vast unsatisļ¬ed need for palliative
care in Ukraine. Considerable discrepancies in data
provided by regional healthcare departments indicate the
absence of a systemic approach to need assessment.
Despite the fact that a methodical recommendations guide
for assessing palliative care need was adopted in 2011
(MoH decree No. 420), and the procedures of palliative care
provision (MoH decree No. 41) ā€” in 2013, some
administrative regions in Ukraine still do not follow the
oļ¬ƒcial procedure (as well as MoH Decree No. 494 of 2015,
which establishes the procedure of calculation of need in
potent painkillers).
23
Provision and the need for palliative care:
regional comparison
34006
12654
17264
16012
53935
17839
28208
35833
23483
10208
4931
6619
5235
17485
7046
9856
15816
6952
5576
10000
13170
11963
250
4429
1435 26462905
8948
282 33 373
4251
1435
3522
1655
Donetsk Oblast Kirovohrad Ivano-Frankivsk Ternopil Kharkiv Khmelnytskyi Kyiv Oblast Kyiv Poltava
Need (modelled)
Need, w/o cardio-vascular
Need (health dept. data)
Patients (health dept. data)
Modelling also exposed the imperfection of palliative care need
estimation procedure. The initial data validity remains an
outstanding issue. Analysis of cause of death conļ¬rmation by
autopsy, comparison of the cause of death data to similar
information from ā€œhigh quality of deathā€ countries proves the
low quality of data. Cause of death recording approaches in
Ukraine are most often inconsistent with those in the
developed countries. The leading place in the world oļ¬ƒcially
held by Ukraine in cardiovascular mortality requires additional
analysis with a view to large-scale falsiļ¬cations in cause of
death recording practices.
24
25
Financial report
Annual revenue dynamics
International
Renaissance Foundation
636 875.00
New Media
Development Group
123 960.19
Private
donations
10 000.00
Revenues ā€” UAH 770 817.99
301000.00
2015
420396.60
2016
770817.99
2017
Expenditures ā€” UAH 518 329.04
Salaries,
honoraria, taxes
435 999.98
Other
services
10 394.00
Oļ¬ƒce
supplies
7 311.46
Bank
charges
3 056.15
Oļ¬ƒce rent
and utilities
62 067.45
Serhij
Vasylchenko
Head of the Board
Famous Ukrainian electoral
geographer, expert in elections,
administrative reform, geographic
information systems, electronic
document management systems.
Andriy Gorbal
Executive Director
More than 15-yearsā€™ experience in
planning, developing and
implementing of projects,
awareness-raising campaigns and
data processing training, development
of online tools.
Renat Nasridinov
Data analyst,
programmer
Expert in data processing, cleaning,
structuring and analysis. Trainer, open
data pioneer, member of the National
network of open data trainers. 13 years
of experience in the tax authority.
Maria Nosok
Project administrator
Social work specialist, humanitarian.
Conducted research of youth
platforms used in social projects
implementation in Eastern Ukraine.
Kateryna
Potapenko
Financial manager
High level professional in accounting
and audit. 6 years of experience in the
tax authority, and 13 years of tax audit
practice.
Oleksiy Sukhoviy
Consultant
Expert in medical statistics,
psychiatrist, senior fellow at the Husak
State Institute for Urgent and
Reconstructive Surgery.
Yevhen Shulha
Consultant
Trainer, data analysis and visualization
expert, Development Director of the
CASE Ukraine Center for Social and
Economic Research.
Mykola Nilov
Consultant
Elections trainer (and more). Professional
in elections management and electoral
campaigns since 2004.
26
Our team
Oksana Sydoruk
Consultant
Sociologist, trainer, CIM PD, 15 years of
experience in social and marketing
research, expert in communication
studies.
Vadym Gudyma
Consultant
Trainer, analyst, expert in digital
security, protection of privacy and
responsible use of data.
Anton Forosenko
Consultant
Leading developer of web-based systems
and mobile applications.
Zhanna
Forosenko
Consultant
Developer of web-based systems, GIS
expert.
Vitaliy
Perepelytsia
Consultant
Web designer, interface developer.
Vitaliy Kazakov
Consultant
Programmer, web developer, system
administrator.
Vitaly Muzh
Consultant
Expert in sociology of consumption,
marketing and futurology.
27
Contacts
socialdata.org.ua
inbox@socialdata.org.ua
+380 (44) 331 78 32
86-B Kazimir Malevich St.
Kyiv, 03150, Ukraine

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Annual reportof Ukrainian Center for Social Data 2017

  • 2.
  • 3. Annual report 2017 Our organization was founded in May 2015. Over the past three years, we have been sustainably progressing in our organizational development while consistently promoting the importance of quality and responsible data handling in our society. Each year we implement increasingly large-scale and interesting projects dealing with multiple spheres. We've earned the conļ¬dence of partners and donors from the US and Europe. In Ukraine we collaborate with analytical centers, public institutions, community-based organizations, and small- and medium-sized businesses. In 2017 we began working with public health data (e.g.: palliative care statistics), gender data (analyzing Ministry of Justice open data). In 2017 we have implemented 7 projects concerned with a number of public activity spheres, including trainings, research and development of data processing tools. We continue to pursue open data development, data quality improvement and enhancement of data collection systems. 3
  • 4. Our mission A society in which politicians, business, and civil society make mutually beneļ¬cial, measured and reasoned decisions based on data from various sources that accurately reļ¬‚ect reality. In pursuing our mission, we: ā€” collect and systematize data sets; ā€” develop systems (including geographic information systems) for easy and visual presentation of data; ā€” prepare analytical reports based on comprehensive data analysis; ā€” develop online tools for working with data; ā€” foster a culture of data-based decision making among government and civil society. We strive to create a society of smart decisions 4
  • 5. Trainings Open data for government oļ¬ƒcials Project was implemented with support from the National Endowment for Democracy, and in partnership with the Center for Ukrainian Reform Education, State Agency for e-governance in Ukraine. Two-day trainings held in 5 cities of Ukraine (Kyiv, Lviv, Odesa, Kharkiv, and Dnipro), attended by participants from all regions of Ukraine. Topics of trainings: ā€” the concept of open data, examples of open data use in Ukraine and abroad; ā€” data formats, machine-readable data, data structuring and cleaning, open data formats; ā€” data processing using electronic spreadsheets; ā€” basics of statistics and data analysis, data visualization; ā€” preparing data for publication as open data; ā€” microdata and protection of personal data. Nearly 400 requests for participation in training programs were received. 167 participants were selected representing sectors of education, health care, police, justice, as well as IT and public information access specialists from executive authorities and local self-government. 5
  • 6. Project implementation included ļ¬ve webinars, each covering a speciļ¬c training topic, both for participants, and for the general public. As of the writing of this report, the overall number of views for these webinars exceeded 1800. The follow-up survey of participants was conducted two months after the trainings to determine progress in data use practices and to ļ¬nd out how helpful and applicable these trainings were for them. The signiļ¬cant share of participants reported positive progress ā€” 75% of respondents reported increased eļ¬ƒciency in working with data, 57% ā€” improvements in data culture (i.e. demanded more accurate and clear data from their colleagues), 21% demonstrated the use of data in diļ¬€erent publishing formats. 6
  • 7. 10% of respondents reported publishing more data sets (presumably due to an acquired awareness of the publicity of nearly all data in possession of data owner), while conversely 1,4% - reported less publishing (presumably because of unwillingness to publish unstructured formats such as PDF or scanned images). Training participants learned to ļ¬nd and identify structured data and ļ¬le formats suitable for disclosure of open data (81,7%), although some participants still consider PDF to be appropriate for open data publication. Response analysis leads to the conclusion that ā€œOpen Data for Government Oļ¬ƒcialsā€ trainings have helped executive and local self-government oļ¬ƒcials extend their theoretical and practical knowledge of open data, processing and security thereof. Moreover, communication with civil servants about open data revealed issues in response to which we have developed recommendations for the State Agency for e-governance in Ukraine (https://bit.ly/2qJiXuc). Selected structured formats Selected PDF among others Selected wrong formats 82% 4% 14% Distribution of responses to the question: "Which of the given file formats are most appropriate for publication of open data?" Answer choices included various file types. 7
  • 8. Smartphone app for election observers In the sphere of data collection and analysis tools development activity, the team of Ukrainian Center for Social Data with support of New Media Development Group NFP has initiated the development of a mobile application for elections process monitoring. Full implementation of the project is scheduled in 2018. This mobile application will enable election observers to rapidly collect data on the progress of the electoral process and maintain records of violations. For the convenience of observers the system will include scenarios (templates) featuring all process stages: prior to the election date, the day of election, the of vote count stage and election results determination. 8
  • 9. An ā€œalert buttonā€ will enable an observer to record a violation, its type, and to take photographic or video evidence thereof. The application also includes a template for a violation report. Where applicable the observer may take photographic or video evidence and attach such records to the respective data. The system is intended for observers representing both non-governmental organizations and parties / candidates. Use of the app will optimize the work of observers greatly, will make the recording of the election process data as simple and fast as possible. And this, in turn, will increase the transparency and fairness of elections, will help candidates and their teams to respond promptly and defend the votes of their voters, if necessary. 9
  • 10. Trainings Working with data for small and medium business associations Experts of Ukrainian Center for Social Data have held a program of trainings and coaching for small and medium business associations on working with data: collection, processing, analysis, representation and use, both in terms of ensuring better services to their members and for better advocacy ā€” and inļ¬‚uence on the small and medium business operation environment in Ukraine. This educational program was delivered within the framework of the project ā€œStrengthening small and medium enterprises business membership organizationsā€ implemented by UNDP in cooperation with the Ministry of Economic Development and Trade of Ukraine and with the ļ¬nancial support of the State Secretariat for Economic Aļ¬€airs of Switzerland (SECO). A webinar and a series of on-site trainings for members of seven business associations were held covering the following issues: ā€” receiving data from members, survey of members; ā€” conducting surveys; ā€” data formats, clearing and structuring data; ā€” obtaining data on environment; ā€” methods of data processing, сollating and analysis; ā€” responsible data management; ā€” data-based products development; ā€” data security and dissemination of data. 10
  • 11. Consultations and coaching were held for members of business associations regarding the development of their own indexes, collection, conversion and analysis of open data, enhancement of business associationsā€™ data management systems, and more eļ¬ƒcient use of data for marketing, advocacy and lobbying purposes. The project included development of a toolkit for business associations enabling them to use open data from the Ministry of Justice ā€” namely the Uniļ¬ed State Register of Legal Entities, Individual Entrepreneurs and Public Organizations. These tools enabled users to: ā€” determine the proportion of men and women in enterprise management; ā€” determine types of communities hosting enterprise registrations; ā€” analyze the Uniļ¬ed State Register in view of business types and the type of international economic activity (using data from the VAT refund register). 11
  • 12. Research Women and men in leadership position in Ukraine The research ā€” the ļ¬rst of this kind ā€” was conducted as a part of the UNDP Ukraine project ā€œStrengthening small and medium enterprises business membership organizationsā€, in cooperation with the NGO ā€œLeague of Business and Professional Women of Ukraineā€. Tendencies in leadership among men and women in oļ¬ƒcially registered agencies, organizations and enterprises in terms of area and type of activity were reviewed. Open USREOU data, published by the Ministry of Justice of Ukraine in June 2017 was used as the principal data array for analysis. The overall dataset of over 6 million USREOU records was processed. The analysis covered 2 706 837 records of active legal entities and individual entrepreneurs (IEā€™s). Questions we sought to answer through this research: 1. How signiļ¬cant is gender imbalance among organization and enterprise leaders in Ukraine? 2. In what areas and types of activity do women leaders prevail and what are the reasons for that? 3. Are there any speciļ¬c regional or geographical features of gender distribution of leaders and entrepreneurs? 12
  • 13. USREOU data do not have a separate ā€œgenderā€ parameter; however, it speciļ¬es the surname, name and patronymic of an individual entrepreneur and chief executive of a legal entity. Consequently, the use of dedicated software enabled us to determine the gender of individual entrepreneurs or chief executives of legal entities from the register by the identifying patronymic suļ¬ƒxes ā€œ-ovych/ -ychā€ for men and ā€œ-ivna/ -yivnaā€ for women. Using the principal type of business activity (class) under KVED (classiļ¬cation of economic activity) stated at the time of registration of legal entity or individual entrepreneur, we performed analysis by sectors, partitions and classes of KVED, as well as by region, type of community (city / village) and by community size (population). 13 1 708 909 IEā€™s ā€” 63% of all of the economic entities54% 46% 997 928 legal entities ā€” 37% of all of the economic entities70% 30%
  • 14. Open data analysis resulted in the following conclusions: 1. Gender imbalance is signiļ¬cant among organization leaders (70% men and 30% women) and almost absent among individual entrepreneurs (54% men and 46% women). General correlation of men and women among organization leaders and entrepreneurs is 60% to 40%. 2. The imbalance occurs due to both lower business activity of women and the status of working women: they tend to work as employees more frequently while the share of self-employed and managers/employers among them is lower when compared to men. 3. Organizational leadership in bigger cities is more gender balanced; however, this is to a larger extent because of men managing more "feminine" sectors. Smaller towns and villages demonstrate more discernable sectoral gender proļ¬le. 4. Education is prevalently a ā€œfeminineā€ sphere in Ukraine. There are other typically ā€œfeminineā€ and ā€œmasculineā€ types of activity in diļ¬€erent sectors. Results of the research are avaliable online: https://bit.ly/2HqAm5W. 14
  • 15. Modelling Electoral systems with open party lists Introduction of the electoral system with so called ā€œopen party listsā€ has been debated in Ukraine for many years now. And the parliamentary coalition agreement of 2014 even provisioned transition to the use of proportional representation electoral system with open party lists ā€” for parliamentary and speciļ¬c local elections. At the same time, since dozens of diļ¬€erent kinds of proportional representation electoral system with open party lists are used around the globe, politicians did not have a single vision on what precisely system should be used for the future parliamentary and local elections. So the International Foundation for Electoral Systems (IFES) in Ukraine carried out a study ā€œOpen party lists electoral system: in the search for the optimal model for Ukraineā€. This research reviewed main beneļ¬ts and drawbacks of diļ¬€erent kinds of electoral systems, which could be used in Ukraine, key elements of proportional electoral systems, draft laws aimed at reforming electoral system for parliamentary elections were analyzed. 15
  • 16. PEOPLEā€™S FRONT88 SOLIDARNIST PETRO POROSHENKO BLOC89RADICAL PARTY OF OLEG LYASHKO30 CIVIC POSITION12 SVOBODA 19 SAMOPOMICH UNION44 SOLIDARITY OF UKRAINE WOMEN2 ZASTUP10 STRONG UKRAINE12 OPPPOSITION BLOC 38 5.101 INTERNET PARTY1 CPU15 ALL-UKRAINIAN UNION FATHERLAND22 RIGHT SECTOR7 Composition of the Verkhovna Rada. Netherlands model. The publication of the research results, for more visual explanation, what results use of that or another electoral system would produce, also contains the modelling using the voting data of parliamentary elections of 26 October 2014, carried out by Serhij Vasylchenko, Head of the Board of Ukrainian Center for Social Data. It was shown how the Verkhovna Rada (parliament of Ukraine) could look like, if elections of 2014 had been conducted according to Estonian, Netherlands, Polish, Czech and Swedish electoral systems. This publication was disseminated among the members of Parliament of Ukraine and expert public, who are interested in electoral issues. Publication is available online: https://bit.ly/2EZmJEI. 16
  • 17. Website Local elections in territorial communities of Ukraine In 2016 the Ukrainian Center for Social Data, supported by OSCE, the Ministry of Foreign Aļ¬€airs of Canada, the Norway Ministry of Foreign Aļ¬€airs and the Government of Denmark within the framework of ā€œDeveloping Election Training Capacity and Enhancing Voter Awarenessā€ project, launched an updated version of the website ā€œLocal elections in territorial communitiesā€ ā€” info-vybory.in.ua. The website visualizes information on where, when and how the elections in Ukrainian territorial communities have been or are intended to be held along with, among other information, data on the temporal dynamics of territorial communitiesā€™ uniļ¬cation process. The website is notable for its easily accessible information on elections in local communities, as well as intuitive and user-friendly navigation ā€” the required information can be found in a mere three clicks. During 2017, we continued supporting the website by continuously updating new content. Over the course of the year, the website displayed information on upcoming scheduled elections in communities (village, town, city councils, in newly amalgamated communities) from diļ¬€erent oblasts of Ukraine. Altogether in 2017, 1092 elections were scheduled in amalgamated territorial communities, among them, 660 ā€” elections to local councils, 271 ā€” elections of mayors and 61 ā€” of starostas. 17
  • 18. Based on the website data, a number of publications were released covering the progress of administrative reform in Ukraine (amalgamation of communities and elections therein). Today the website attracts 52 thousand visitors from all over the Globe: USA, Canada, Europe, Russia, China, countries of North Africa, Australia and New Zealand. In Ukraine, the websitesā€™ most active users are from Kyivska, Lvivska, Dnipropetrovska and Zaporizka oblasts. Between 1 January through 31 December 2017, the info-vybory.in.ua website was visited more than 91,000 times. According to the website survey, the principle group of its users consists of voters and active citizens (42,3% collectively); candidates, their representatives or party members ā€” 14.6% of visitors; election committee members ā€” 11.2%; government oļ¬ƒcials ā€” 11.2%; NGOā€™s ā€” 5%. 18
  • 19. Research and development Valid and reliable statistical reporting on palliative care Palliative care is an approach that improves the quality of life of patients and their families facing problems associated with life-threatening illness, through the prevention and relief of suļ¬€ering by means of early identiļ¬cation and assessment and treatment of pain and other, physical, psychosocial and spiritual problems. In Ukraine today it is still impossible to determine with suļ¬ƒcient accuracy how many people in Ukraine suļ¬€er from a lack of quality palliative care, how many of them live with chronic pain syndrome, and how many people lack access to eļ¬€ective painkillers or ability to end their life in dignity. This state of aļ¬€airs implies the lack of a reliable system of collection and compilation of data on both palliative care provision and the demand for it. Hence, in 2017 with support from the International Renaissance Foundation we launched the project ā€œValid and Reliable Statistical Reporting on Palliative Care in Ukraineā€. The project aims to analyze the available data ā€” and develop and implement reliable statistical reporting in the sphere of palliative care of Ukraine. At the initial stage of project implementation we analyzed legal documents, regulations, statistical data forms and international practices of palliative care. We determined key challenges arising from existing Ukrainian indicators, overviewed best international practices. 19
  • 20. Analysis of data collection practices on provision of palliative care was performed by sending requests to regional healthcare departments on provision of public information, acquisition, structuring and analysis of collected data: https://bit.ly/2HKRbpl. At the same time, we drafted medical statistical report forms on palliative care provision, together with online data collection forms for recording data of execution of the Uniļ¬ed clinical protocol for chronic pain syndrome. Both the draft medical statistical report form, and the online form were tested in the pilot region ā€” Poltavska oblast. In addition, we performed a palliative care need modeling based on oļ¬ƒcial MoH procedures, WHO and UNICEF recommendations, as well as oļ¬ƒcial data ā€”mortality data (courtesy State Statistics Service of Ukraine) and disease prevalence data (courtesy MoH MedStat). Today one of the major challenges is the fact that this medical data is recorded only on paper. Some oblast health departments failed to use even existing data, appealing to the absence of certain oļ¬ƒcial statistical palliative care surveys. 20
  • 21. 21 Outpatient Inpatient Velyka BahachkaŠ¹ Hlobyne Hrebinka Dykanka Zinkiv Karlivka Kobeliaky Kozelshchynskyi Kotelva Mashivka Novi Sanzhary Orzhytsia Reshetylivka Semenivka Š›Š¾Ń…Š²ŠøцьŠŗŠøŠ¹ Pyriatyn Khorol Chornukhy Shyshaky Chutove Lubny ŠšŃ€ŠµŠ¼ŠµŠ½Ń‡ŃƒŃ†ŃŒŠŗŠøŠ¹ Poltava Myrhorod Hadyatskyi 11 g per 10 thous. population 5.4 g per 10 thous. 1.1 g per 10 thous. Zinkiv Mashivka Shyshaky Reshetylivka Khorol Velyka Bahachka Hrebinka Pyriatyn Kotelva Hadyatskyi Dykanka Orzhytsia Chornukhy Kozelshchynskyi Lubny Poltava Kremenchuk Semenivka Chutove Kobeliaky Lokhvytsia Hlobyne Karlivka Myrhorod Novi Sanzhary Morphine delivery within ā€œPoltavapharmā€ drugstores network by Rayons of the Poltava Oblast, grams per 10,000 people, 2015 At the same time there is a problem of quality of data in the healthcare sector posed by the threat of falsiļ¬cation. An important conceptual issue remains operationalization of diļ¬€erent types of palliative care for tracking purposes ā€” as opposed to assigning the status of ā€œpalliative patientā€. According to the analysis of palliative care-related data (mortality, disease prevalence), the problem of data quality is quite acute for the whole healthcare sector. Some records may fall under suspicion of falsiļ¬cation. Multiple errors and mismatches in data point to the necessity to implement fully electronic information systems, end-to-end tracking to the level of individual patient, and availability of detailed data in real-time, online mode.
  • 22. Modelling Need in palliative care in Ukraine In the framework of ā€œValid and Reliable Statistical Reporting on Palliative Care in Ukraineā€ project we performed a study (https://bit.ly/2vCY21I) to determine palliative care need based on oļ¬ƒcial data and using the existing oļ¬ƒcial methodological recommendations. The assessment of need for adults was performed based on mortality data for 2005-2016, provided by the State Statistics Service of Ukraine, and for children ā€” based on disease prevalence data for 2016 provided by the Medical Statistics Center at the Ministry of Health of Ukraine. Approaches used for adults were recommended by WHO and World Palliative Care Association (WPCA); for children ā€” by UNICEF and The International Childrenā€™s Palliative Care Network (ICPCN). Adults Cardiovascular diseases Cancer Chronic obstructive pulmonary disease Cirrhosis of liver Tuberculosis HIV/AIDS Diabetes mellitus Kidney diseases Parkinson disease Alzheimerā€™s disease Rheumatoid arthritis Multiple sclerosis 262 757 62 924 4 514 3 828 3 648 3 214 1 249 896 129 117 112 105 Children Cardiovascular diseases Congenital anomalies Cerebral palsy Neonatal conditions Diabetes mellitus Cancer Dementia and mental retardation Inļ¬‚ammatory diseases of the CNS Tuberculosis Chronic hepatitis 121 255 98 125 9 923 8 010 5 374 4 651 3 625 3 041 497 455 22
  • 23. - According to the State Statistics Service data, the need for palliative care in 2016 was 343,5 thousand adults (985 persons per 100 000 of adult population), while the need among children ā€” 255 thousand (3 348 kids per 100 thousand children population). Our study revealed a vast unsatisļ¬ed need for palliative care in Ukraine. Considerable discrepancies in data provided by regional healthcare departments indicate the absence of a systemic approach to need assessment. Despite the fact that a methodical recommendations guide for assessing palliative care need was adopted in 2011 (MoH decree No. 420), and the procedures of palliative care provision (MoH decree No. 41) ā€” in 2013, some administrative regions in Ukraine still do not follow the oļ¬ƒcial procedure (as well as MoH Decree No. 494 of 2015, which establishes the procedure of calculation of need in potent painkillers). 23 Provision and the need for palliative care: regional comparison 34006 12654 17264 16012 53935 17839 28208 35833 23483 10208 4931 6619 5235 17485 7046 9856 15816 6952 5576 10000 13170 11963 250 4429 1435 26462905 8948 282 33 373 4251 1435 3522 1655 Donetsk Oblast Kirovohrad Ivano-Frankivsk Ternopil Kharkiv Khmelnytskyi Kyiv Oblast Kyiv Poltava Need (modelled) Need, w/o cardio-vascular Need (health dept. data) Patients (health dept. data)
  • 24. Modelling also exposed the imperfection of palliative care need estimation procedure. The initial data validity remains an outstanding issue. Analysis of cause of death conļ¬rmation by autopsy, comparison of the cause of death data to similar information from ā€œhigh quality of deathā€ countries proves the low quality of data. Cause of death recording approaches in Ukraine are most often inconsistent with those in the developed countries. The leading place in the world oļ¬ƒcially held by Ukraine in cardiovascular mortality requires additional analysis with a view to large-scale falsiļ¬cations in cause of death recording practices. 24
  • 25. 25 Financial report Annual revenue dynamics International Renaissance Foundation 636 875.00 New Media Development Group 123 960.19 Private donations 10 000.00 Revenues ā€” UAH 770 817.99 301000.00 2015 420396.60 2016 770817.99 2017 Expenditures ā€” UAH 518 329.04 Salaries, honoraria, taxes 435 999.98 Other services 10 394.00 Oļ¬ƒce supplies 7 311.46 Bank charges 3 056.15 Oļ¬ƒce rent and utilities 62 067.45
  • 26. Serhij Vasylchenko Head of the Board Famous Ukrainian electoral geographer, expert in elections, administrative reform, geographic information systems, electronic document management systems. Andriy Gorbal Executive Director More than 15-yearsā€™ experience in planning, developing and implementing of projects, awareness-raising campaigns and data processing training, development of online tools. Renat Nasridinov Data analyst, programmer Expert in data processing, cleaning, structuring and analysis. Trainer, open data pioneer, member of the National network of open data trainers. 13 years of experience in the tax authority. Maria Nosok Project administrator Social work specialist, humanitarian. Conducted research of youth platforms used in social projects implementation in Eastern Ukraine. Kateryna Potapenko Financial manager High level professional in accounting and audit. 6 years of experience in the tax authority, and 13 years of tax audit practice. Oleksiy Sukhoviy Consultant Expert in medical statistics, psychiatrist, senior fellow at the Husak State Institute for Urgent and Reconstructive Surgery. Yevhen Shulha Consultant Trainer, data analysis and visualization expert, Development Director of the CASE Ukraine Center for Social and Economic Research. Mykola Nilov Consultant Elections trainer (and more). Professional in elections management and electoral campaigns since 2004. 26 Our team
  • 27. Oksana Sydoruk Consultant Sociologist, trainer, CIM PD, 15 years of experience in social and marketing research, expert in communication studies. Vadym Gudyma Consultant Trainer, analyst, expert in digital security, protection of privacy and responsible use of data. Anton Forosenko Consultant Leading developer of web-based systems and mobile applications. Zhanna Forosenko Consultant Developer of web-based systems, GIS expert. Vitaliy Perepelytsia Consultant Web designer, interface developer. Vitaliy Kazakov Consultant Programmer, web developer, system administrator. Vitaly Muzh Consultant Expert in sociology of consumption, marketing and futurology. 27
  • 28. Contacts socialdata.org.ua inbox@socialdata.org.ua +380 (44) 331 78 32 86-B Kazimir Malevich St. Kyiv, 03150, Ukraine