1

Country Report

Kenya

ADP Quality Assessment

ADP/PARIS21

2015

2

Table of Contents

Introduction ...................................................................................................................................... 3

Executive Summary ............................................................................................................................ 3

Section 1: DDI Assessment ................................................................................................................. 4

Section 2: NADA Assessment ............................................................................................................. 5

Section 3: Status on Dissemination ..................................................................................................... 6

Data Access and User Management ........................................................................................................ 6

Status of Dissemination Policy and Statistics Act ..................................................................................... 7

Section 4: Microdata Outreach and Advocacy Workshop .................................................................... 8

Section 5: Institutional Progress and Internalization of the ADP Processes .......................................... 8

Section 6: Performance Indicators .................................................................................................... 10

Section 7: Innovations and Data Revolutions .................................................................................... 11

Section 8: Conclusions and Recommendations .................................................................................. 13

Section 9: Looking Forwards ............................................................................................................. 15

Annex 1: Summary of ADP implementation in Kenya ................................................................................ 16

Annex 2: DDI score by metadata category ................................................................................................. 17

Annex 3: Comprehensive review of NADA .................................................................................................. 18

Annex 4: Country prioritization of data development activities in post 2015 ............................................ 20

3

INTRODUCTION

The ADP was launched in 2006 as a recommendation of the Marrakech Action Plan for Statistics (MAPS)

to undertake urgent improvements in survey programs for monitoring the Millennium Development

Goals (MDGs). With the high-level endorsement in November 2011 of the Busan Action Plan for

Statistics (BAPS), the ADP is addressing the BAPS's second priority (i.e., “promote open access to and use

of data”). The ADP’s goal is to increase the use and value of survey data. The ADP supports data

producers and users in developing countries by carrying out inventory, documentation, dissemination

and preservation of micro-datasets; establishing national and regional survey data repositories to make

existing survey microdata more accessible to users; establishing national microdata dissemination

policies; and developing and implementing outreach and advocacy programs targeting the microdata

users (i.e., universities, research centers, independent think tanks, NGOs, development partners, and

others) to increase awareness of microdata availability and use of microdata. The ADP takes advantage

of tools and guidelines developed by the International Household Survey Network (IHSN).

The ADP is currently supporting agencies in more than 70 countries in Africa, Asia and the Pacific, Latin

America and the Caribbean. The ADP has been implemented by PARIS21 and funded through

contributions from the World Bank Development Grant Facility which began in 2006 and ends in 2015.

With the end of the program, a program evaluation was undertaken. Under the tasks and activities

undertaken by the ADP, this assessment developed some standardized tools used to render the

evaluation comparable across countries in the region and across regions in the world. Over 30 countries

in 7 regions were evaluated. The following key areas were evaluated:

Quality of the metadata produced to describe the household surveys and statistical observation

as documented using the DDI

Quality of the NADA and its visibility for web based dissemination

A review of the microdata dissemination and data access policies

Management of users and cultivating relationships with data users

Institutionalization of the documentation and dissemination processes

This report will assess each of these areas and assess the performance of the country in attaining a

minimum level or threshold and/or exceeding that threshold.

The report will also look at the countries outlook and ability to respond to the new data agenda being

defined by the new Sustainable Development Goals (SDGs) measurement agenda and the call for a Data

Revolution.

EXECUTIVE SUMMARY

4

The Accelerated Data Program (ADP) was implemented in the Kenyan National Bureau of Statistics

(KNBS) in 2011. Since then, the KNBS has been conducting a number of activities to archive and promote

the use of microdata in Kenya. Chart 1 presents an overview of the ADP activities in Kenya.

Chart 1. Timeline of the implementation of ADP in Kenya

The KNBS is very active among ADP member countries in Africa in implementing the ADP activities. To

date, about six ADP activities are undertaken in Kenya and the KNBS has completed most of the

processes of the ADP cycle including data documentation, NADA publication, microdata dissemination

policy formulation and promoting data use through microdata outreach and advocacy program. The

KNBS NADA disseminates 57 studies in its catalog and the microdata of most of the studies are freely

available to users even though they are cataloged as licensed data files. Kenya is among the few

countries in Africa which has fully developed capacity in internalizing the good practices of microdata

management and dissemination. The summary of ADP implementation in Kenya is presented in Annex

1.

SECTION 1: DDI ASSESSMENT

The DDI is a metadata standard adapted by the World Bank. It was originally intended to form a

common standard for researchers to exchange information on research projects. For this reason, the

custodian of the standards remains in large part within the ICPSR. The tools developed for the

assessment evaluate the main metadata elements and are designed to check completeness and

coherence of the metadata such that a researcher would be able to capitalize on the available

information. The table below provides a summary of the scores. For more information on the scores in

a disaggregated form please refer to Annex 2.

Table 1: DDI Assessment Summary of NADA Catalog of the KNBS

RESULTS SCORE

Regional Ranking 5

Number of statistical projects in NADA 57

•KNBS joins the ADP Initiative

2011

•KNBS launches NADA

2012 •NISR formulates Data

Dissemination and Access Policy

2012

•NISR conducts a MOW

2014

5

Average Score 45.1%

Highest Score 80.1%

Lowest Score 3.7%

Critical Categories Data processing, Data appraisal, Missing data, Variable

and Label name, Literal question

Difficulty to Access Data 19 % of studies don’t have microdata available.

Main Findings Sampling errors were not often provided

Variable and label names are repeated

Literal questions are missing

Questionnaires or reports were sometimes not available

Descriptions of some resources were missing

Figure 1 plots the individual scores ranked from highest to lowest. The pattern can give some indication

as to the reasons for decreasing quality. The break can be seen below. It is recommended that the KNBS

review scores below the average score line.

Figure 1: Assessed studies by score (Under/Above of average score).

SECTION 2: NADA ASSESSMENT

The assessment of the NADA catalog site was conducted by applying a Comprehensive Review of the

NADA form, which consists of 41 questions grouped into 7 categories. The evaluation was conducted on

specific aspects about: Configuration and Visibility, Registration, Search and Filters, Data Dissemination

Policy, Data Access, User and Citations, and Innovations (see Annex 3).

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0

90.0

0 10 20 30 40 50 60

Sco

re

Studies

The figure shows that

the metadata quality

of 37 studies, that is

65% of the total

studies, is above the

average score line.

The remaining 35% of

the studies are below

the average quality

line. Specifically, 7

studies have a DDI

quality score below

22% and they need

more attention from

KNBS to improve

their quality.

45.1%

6

Table 2 shows the average of each of the seven categories that grouped the 41 questions that assess the

content and operation of the NADA catalog site. Because the maximum score for each category is

different, scores are expressed as a percentage of the total possible score for each category.

.

Table 2: Score of NADA Assessment by Category

Category Score (%)

TOTAL 80.5

NADA visibility 4.29

NADA Registration 11.25

Search and Filters 10.00

Data dissemination policy 0.00

Data access 20.00

Metadata and Citations 5.00

Innovation 0.00

Days to respond 30.0

The KNBS NADA demonstrates relatively high quality scores on disseminating studies. KNBS has a Data

Dissemination and Access Policy which is available in KNBS home page, but the policy is not directly link

to Data Access template of Study description page. Likewise, the NADA home page lacks other tabular

contents that are useful to the users. For example, Mission, Policies and procedures, Citations, etc.

SECTION 3: STATUS ON DISSEMINATION

Data Access and User Management

As of September 2015, the date on which the KNBS NADA assessment was conducted, there were 57

studies published with three types of data access: Licensed data files, ‘Data available from external

repository’, and ‘Data not available’. The Licensed data files requires users to be registered and to fill out

a data request form, accepting the terms and conditions of the agreement to data access. If the request

is granted, the system shows a confirmation message and a link is provided to follow up the request. On

the other hand, a link is provided to access the data from the external repository type. However, the

microdata will not be available to users for the ‘Data not available’ type. Normally, the policies and

procedures tab of NADA provides detailed information on the process and the conditions under which

different types of data are accessible to users. The NADA has a functionality to record the user's request.

The information and inventory collected from the NADA users could further be used to promote data

use and for user engagement.

0.00

10.00

20.00

30.00

NADAvisibility

NADARegistration

Search andFilters

Datadissemination

policy

Data access

Metadata andCitations

Innovation

Days torespond

Kenya Maximum

7

Table 3: Users Statistics in KNBS NADA

Number of registered users (active and non-active) in NADA 802

Number of Active registered users 712

Number of deactivated users (blocked) 1

Number of Licensed Requests (total) 402

Number of pending licensed requests 0

Number of citations on-line 5

Number of surveys with data unavailable in-country but available elsewhere (DHS, MICS)

10

Figure 2: Studies by type of data access

Regarding user management, KNBS keeps records of the registered users and communicates with them.

The user statistics are also used to report to top management regularly. The NSO gets feedback from

users regarding its data dissemination through other user-producer forums, statistical workshops and

experts' meetings and survey/census results launch ceremonies. The feedback from users, particularly

from statistical workshops and experts' meetings, are taken into consideration for future survey design

and used to improve the data dissemination system.

Status of the Dissemination Policy and Statistics Act

The Statistics Act 2006 provides KNBS the legal authority for the collection, compilation, analysis,

publication and the co-ordination of the National Statistical System. The Act mentions general

Licensed data files 62%

Data from external

repository 17%

Data not available

21%

The KNBS

microdata

dissemination and

access policy

promotes data

use and provides

free access to

data to its users

as Licensed data

files (63%). In

addition, 17% of

studies are also

linked as Data

from external

repository.

8

dissemination of statistics, but not the dissemination of microdata at particular. However, the Act has

given full liberty to the KNBS to define data types and make policies for the dissemination of particular

data of users' needs. In addition to the Statistics Act, the KNBS has a well-articulated Data Dissemination

and Access Policy formulated in 2012. The policy identifies the types of statistical products that will be

released by KNBS to ensure that respondent confidentiality is preserved while meeting the needs of

researchers and data users.

Table 4: Status of Dissemination Policy and Statistics Act

Kenya KNBS NSS COMENTS & PROGRESS

Statistics Act allows Microdata Access No Mentions general dissemination of statistics and information.

Is the Statistics act available on line (provide link)

Yes http://www.knbs.or.ke/index.php?option=com_phocadownload&view=category&id=23:policies-manuals&Itemid=599#

Dissemination Policy allows Microdata Access

Yes

Is dissemination policy available on line? Provide link

Yes http://www.knbs.or.ke/index.php?option=com_phocadownload&view=category&id=23:policies-manuals&Itemid=599#

Regulation of Dissemination Policy includes Calendar of Publications, Type of Users, Type of Data Access per survey, NADA & DDI Standard

Yes

Other channels to Microdata Access available

Yes KNBS website: http://www.knbs.or.ke/

% Data Accessible through NADA Catalogue

65%

Comments and Progress of Dissemination Policy (if not approved/updated)

KNBS is currently revising the Data Dissemination and Access Policy 2012, as per the provision of policy revision in every three years.

SECTION 4: MICRODATA OUTREACH AND ADVOCACY PROGRAM

With ADP support, the KNBS organized a Microdata Outreach Workshop (MOW) in December 2014 targeting microdata users, researchers and policy evaluators from universities, research centers, INGOs, NGOs and line-ministries situated in Nairobi. The workshop brought together other major data producers in the National Statistical System (NSS) to share and reflect on their experiences, practices and challenges in disseminating other forms of data such as administrative records including civil registration data. In view of the success of the workshop, the KNBS wants to institutionalize and expand the process up to local level. However, the KNBS has not held any data use promotional activities in 2015 at either the national or local level.

SECTION 5: INSTITUTIONAL PROGRESS AND INTERNALIZATION OF THE ADP

PROCESSES IN KNBS

9

The KNBS has a well-defined data dissemination policy supportive of microdata dissemination. The Data

processing unit in the KNBS is active and efficient at managing and disseminating microdata through

NADA. The team is very responsive to data requests and portal management. The NADA dissemination

and management is fully supported by KNBS’s internal budget. However, no specific budget is allocated

to microdata documentation and dissemination activities.

The KNBS has developed expertise to internalize microdata management work in Keya. Currently, it is

revising and updating its data dissemination policy including accommodating the provisions for

microdata dissemination recommended by IHSN guidelines. The KNBS aims to promote user

engagement events up to local level through Microdata Outreach Workshops. Although it has not yet

budged for microdata management and promotional activities, it is possible that the KNBS will be able

to fully institutionalize the good practices of microdata management and dissemination activities in the

country in coming days.

Table 5: Budget allocation for ADP activities in Kenya

Question Yes/No Amount USD Comments

Is there a dedicated line in the budget to documentation in the NSO budget?

No

Is there a dedicated amount in each survey for documenting?

No

Are consultants hired to document the surveys using internal sources?

No

Are there dedicated personnel that document as part of their Job Description? If Yes, How many and the amount of time dedicated.

Yes The ADP team in the KNBS are responsible for data documentation and dissemination.

Yes Data documentation in the KNBS is done on an ad-hoc basis through workshops by the data management team including staff from other units

Are there staff who review the DDIs? How many and time dedicated?

No The review was done by an ADP expert in previous documentation works.

Since institutionalization is one of the most important aspects to evaluate the effectiveness of the

activities, a SWOT analysis was undertaken (Chart 2). On balance, the KNBS has the potential to

institutionalize data documentation and archiving, data dissemination policy design and reviewing,

NADA dissemination and promoting data use through outreach workshops. However, the NADA

maintenance and upgrading, still remains a challenge to the KNBS. Perhaps the biggest challenge to the

KNBS will be the ability to sustain the ADP activities and to expand the best practices to other major

data producing agencies in the NSS.

10

Chart 2: Strengths and Weakness of ADP Institutionalization in the Country

SECTION 6: PERFORMANCE INDICATORS

Ultimately the objective of the assessment is to evaluate the performance of the country based on key

performance indicators (KPIs) constructed by taking 4 dimensions into account: Metadata quality; Data

dissemination; Engagement with users; and ownership and internalization of the ADP activities. The

analysis of the indicators shows a good performance of the KNBS in NADA dissemination. This can be

attributed tothe NADA review score of 80% and the fact that NADA remained online for all 365 days of

the past year. On the other hand, the DDI quality of many studies on NADA is very poor and the KNBS

should focus on this aspect to improve their data quality. The areas for DDI improvement are listed on

the DDI quality check summary sheet in Annex 2.

STRENGHTS:

•The KNBS has developed in-house capacity for data documentation and dissemination

•There is a designated Unit in charge of coordinating ADP & NADA activities in the KNBS.

•Data dissemination through NADA is well established and managed.

•The outreach activities are being budgeted from government resources from 2016.

WEAKNESSES:

•Expertise in NADA maintenace and upgrading is still lacking.

•Data documentation activity is done on an ad-hoc basis through workshops.

• No specific fund is allocated to data documentation and disseminaton activities in the yearly budget.

OPPORTUNITIES:

•A well-defined data dissemination policy is in place to continue and improve the the data management and dissemination activities in Kenya.

•The Statistics Act 2006 provides the KNBS with the authority to coordinate and promote data management and dissemination activities in the country.

•The ADP team in the KNBS is very active and has the expertise to provide south-south cooperation in East Africa regarding microdata management, if needed.

THREATS:

•No allocation of internal budget to data documentation and dissemination activities which may discontinue the work done in the KNBS.

•Discontinuity of NADA support to the KNBS from ADP/PARIS21 could be a challenge to the KNBS for NADA maintenance and updating.

•Existence of many data portals on the KNBS website may confuse microdata users.

Internalization of Metadata Management Process (Data Curation)

Sust

ain

abili

ty o

f th

e A

DP

11

Table 6: Performance indicators, KNBS.

Particular Score

DDI Review score 45

NADA Review score 80

Number of days to respond to query 3

Number of persons trained per survey 0.83

Percent Accessible Data 79

Days NADA online in the last 365 days 365

Days NADA online in the last 30 days 30

Number of surveys added last year 13

Number of surveys added last month 0

Documentation included in budget Yes

NSO organized documentation workshop No

NADA user statistics reported to management No

SECTION 7: INNOVATION AND DATA REVOLUTION

In the context of the country's statistical preparation for the post-2015 development agenda, especially

for the SDGs, a questionnaire was administered to the NSO which was composed of two parts. In the

first part, each of the GSBPM (see Chart 3) phases and sub-processes were listed and the NSOs were

asked to indicate which processes posed the most challenges to their organisation, and which were

those where support from external agencies and donors is needed. In the second part, questions were

more focused on IT technologies that are considered important for the Data Revolution, asking the NSO

to indicate which specific technologies required most support.

The main purpose of this questionnaire was to gain a detailed understanding of the problems faced by

countries in the full life-cycle of statistical data (and metadata) processing. The survey is based around

the processes and sub-processes of the Generic Statistical Business Process Model (GSBPM). These

processes cover the phases of design and building surveys, and the collection, analysis and

dissemination of data. The information collected from NSOs were analyzed to see how new

technological innovations, existing available software solutions and other global standards can be used

to help overcome these problems.

The main findings from the analysis of GSBPM phases for Kenya are as follows:

1. Design: No need for external assistance as KNBS has proficient staff.

2. Build: Requires assistance to enhance dissemination components.

12

3. Collect: No need for external assistance as KNBS has proficient staff.

4. Process: No need for external assistance as KNBS has proficient staff.

5. Analysis: Needs assistance for disclosure controls.

6. Dissemination: Requires assistance to produce, manage and promote dissemination outputs.

The main findings from the analysis of issues related to IT for Kenya are as follows:

1. IT infrastructure: No assistance needed – able to handle internally. The annual budget for

investment in IT infrastructure in 2015 is KHS 129,000,000 (1.2 million USD).

2. Data Management: In most cases, KNBS only needs occasional assistance. No budget allocated.

3. Statistical Packages: Proficient in other statistical packages except SAS and R. There is a small budget

allocation each year for training of such packages.

4. Software tools: KNBS has few experts, about 1 or 2 people who can use the tools for programing.

There is no budget allocation for training in the use of such tools and staff are required to learn on

their own or from international exposure.

5. Web development: KNBS could mostly manage internally. In some cases, it needs external

assistance, e.g., for web data collection. No budget allocation for training in web development.

6. Remote data collection: Tablets and some other mobile technologies are already implemented for

data collection and dissemination, but not Smart phones. Tablets were purchased by KNBS using

their own budget. Regarding other applications, the KNBS does not have practical knowledge in

using other tools except CS Pro.

13

Chart 3: The Generic Statistical Business Process Model (GSBPM)

SECTION 8: CONCLUSIONS AND RECOMMENDATIONS

1. Metadata quality assessment

On average, the metadata quality of KNBS studies is found poor.

Metadata in most cases does not describe the lowest geographic administrative level.

In many cases, information on the sampling error is not provided.

The data collection, data processing and data appraisal sections of many studies are incomplete.

Add Sampling Error information to Data Appraisal section - almost no studies contain Sampling

Error information.

Add data Citation information to Data Access section – it is not always provided.

2. Assessment of functionality of NADA and quality of service to microdata users

Overall, the KNBS NADA dissemination performs well except for a few minor deficiencies.

The microdata dissemination policy is available on the KNBS home page, but it hasn't linked to

the NADA page, nor is it mentioned under the Data Access entry of the Study description page.

The NADA home page lacks some useful tabular contents like "About" and "Policies and

Procedures".

DATA CURATION

PROCESSES

14

Although the data type is mentioned as Licensed data files for many studies, they are freely

available to download as Public use files once the user fulfills the terms and conditions – correct

the data access type.

3. Status of Statistical act and Microdata dissemination policy

The Kenya Statistics Act 2006 places the KNBS as the government principal agency to produce

and disseminate official statistics and coordinate statistical activities in the country.

The Statistics Act 2006 mentions collection, analysis and dissemination of the statistical data,

but does not clearly address the dissemination of microdata.

KNBS also has a well-defined Data Dissemination and Access Policy 2012 including provisions for

disseminating microdata. However, the policy does not mention the various data types as

mentioned in NADA.

The revised Act should clearly mention the various microdata types and differentiate the

provision of data access by type of data– the KNBS data dissemination policy 2012 is currently in

the process of revision.

4. Data outreach and engagement with users

Besides the NADA dissemination event, the KNBS has organized one Microdata Outreach

Workshop with ADP/PARIS21 support. Although the KNBS places high value on the outreach

workshop, it hasn't allocated a specific budget for other advocacy and user engagement events.

5. Institutionalization of ADP activities

KNBS has developed expertise in data management and dissemination, but still a specific budget

has not been allocated to data management activities pertaining to microdata documentation

and promoting data use.

Data dissemination through NADA is well managed in the KNBS and its maintenance and

updating is done as part of the KNBS’s regular budget to IT and dissemination activities.

KNBS has high potential and desires to fully internalize the ADP activities.

6. Innovations and Data revolution

GSBPM: the analysis of KNBS responses on GSBPM phases and sub-processes shows that the

KNBS has proficient staff for most of the activities. It has also expressed their needs, however, to

produce, enhance and promote dissemination outputs. Likewise, it requires assistance in

disclosure control techniques for microdata anonymization.

IT: Like GSBPM processes, the KNBS is able to manage internally most IT related issues. 1.2

million USD was allocated internally in 2015 for IT infrastructure development. However, in

some cases, it needs external assistance, e.g., for web data collection, and use of new statistical

tools and software tools.

15

7. Post-2015 data development priorities

The institutionalization of the data curation process, revision of data dissemination policy,

mobile data entry and learning Big data management and analysis techniques are on the KNBS’s

top priorities for post-2015 activities.

SECTION 9: LOOKING FORWARD

As part of the forward looking component of the assessment a questionnaire was sent to each NSO to

express their priorities for data development activities in view of the post-2015 development agenda.

The questionnaire contained 14 options ranging from Data curation, Data harmonization, Dissemination

policy design, User engagement, Promoting data use, Big data issues and the use of mobile data

collection technologies among others (see Annex 4). The analysis of the KNBS’s report reveals that

institutionalization of the data curation process, revision of data dissemination policy, mobile data entry

and learning Big data management and analysis are on their top priorities for post-2015 activities. On

the other hand, Nodal analysis in the data production chain and Innovation inventory for problem

solving are of lower priority at present.

Chart 4: Activity prioritization for 2016

Activities

Data curation process; Data dissemination policy revision; Mobile data entry; Big data workshop.

SDMX training; Promoting data use; Data visualization; Approaching SDGs.

NSDS data module and survey costing; Harmonizing census, survey and civil registration data. Harmonizing survey and administrative data.

Managing users and how to use citations and Google analytics.

Nodal analysis in data production and evaluating portal management; Innovation inventory for problem solving.

Pri

ori

ty

16

Annex 1: Summary of ADP implementation in Kenya

ADP activities KNBS

Year/no. Year/no.

Year ADP Started 2011

Number ADP interventions in the

Country 6

Metadata Production

Workshops 3

(2011, 2012) (2014)

National Data Archive (NADA) 2

User Outreach Workshops 4th And 5th December 2014

Number of Institutions Trained in

Data Documentation 1

Number of Institutions attending

User Outreach Workshops 24

Number of persons attending ADP

training events

(when we include the first training of 2011, at least 20

people attended) 15

Number of women trained in

documentation 1 5

Number of Surveys Documented

(Available on NADA) 58

Number of Microdata available in

NADA 46

Annex 2: DDI quality score by metadata category

17

Metadata category Average

score Main comment for improvement

Identification 73% Series information was sometimes missing or contained

unrelated information

Version 56% The day and/or month was often missing from

production date

Overview 69% Abstract was sometimes too long or contained less

relevant information

Coverage 35% Metadata did not always describe the lowest geographic

administrative level

Producers and Sponsors 81% Some national surveys did not list a government entity as

the primary investigator

Sampling 58% Sampling information was sometimes missing,

particularly pertaining to sampling frame and weighting

Data collection 33% Information about pilot surveys and the basis of

questionnaire design was sometimes missing

Data processing 17% Information about how questionnaires were received to

be processed was sometimes not available

Data appraisal 6% Sampling errors were not often provided

Data access 24% NADA entries did not always provide a citation

Data files 63% Information about how missing data were coded were

sometimes not available

Variables 17% Some variables did not have questions associated with

them or repeated the label

External resources 1 47% Questionnaires or reports were sometimes not available

External resources 2 42% Descriptions of some resources were missing

Metadata citation and

use 64% No surveys had citations

IHSN catalog 44% Some surveys were not available in the IHSN catalog

Annex 3: Comprehensive review of NADA

18

#

Question Yes = 1 No = 0 NA = -

NADA visibility 0.43

1 NADA Version: Is the NADA version 4.3? 1

2

URL

Does the URL have a proper name? 1

3 Does the NADA link (target folder) display a name other than NADA?

0

4 Links from main website homepage to the NADA site:

The NADA link should be displayed prominently on the main site.

1

5 Links from the NADA site back to the homepage:

The main website’s link should be prominent on the NADA site.

0

6 Integration with main website:

The NADA page is fully integrated into the main website, matching the design and colors of the main site.

0

7 Branding: Is the institution brand prominently displayed on the NADA site?

0

8

NADA tabs:

Is NADA on the home page? 1

9 Is there a tab for policies and procedures? 0

10 Is there a tab which contains innovative ways to describe how to use NADA?

0

11 Does the policy and procedures tab contain information on access?

0

12 Is there other tabular content that is useful? 1

13 The texts on the static pages should be grammatically correct and spelled correctly.

1

14 Is the formatting on the static pages clean and conducive to highlighting information?

1

15 Home Page Slideshow: Default slideshow on home page must be modified as per NSO NADA, or needs to be removed from home page

1

16 Catalog images: Check if the central data catalog image is available and should not be default. Central data catalog and collections must have images

0

17 About Menu information:

Check if the about page information is available or tab before datasets must be removed

0

18

Contact

Is the contact address available? 0

19 Is there a telephone number available? 0

20 Is the main NSO web site referenced? 0

21 Is there an institutional email contact available? 1

NADA registration 0.75

22 Registration links, email & procedure:

When you register did you get an email approving your registration?

1

23 Were you able to reset your password under the "lost password" option?

1

19

24 Login Page Header & footer:

Login page header and footer must be same as rest of the pages.

0

25 Login Page Access Policy:

Login page access policy must be modified as per NSO privacy policy and link must be provided to the same.

1

Search/Filter 1

26 Keyword search

Does the NADA display a search by keyword? 1

27 Does the search by keyword work? 1

28

Filters

Does the NADA display a filter by year? 1

29 Does the filter work? 1

30 Does the NADA display a filter by Data Access? 1

31 Does the filter work? 1

32 Does the NADA display a filter by topic? 1

33 Does the filter work? 1

34 Can you confirm that there is no filter by country? 1

Data dissemination policy 0

35 Data Dissemination policy

Does the agency have a "Data Dissemination Policy" linked on NADA?

0

Data access 0.5

36 Data access type (DA/PUFs/Licensed/Data enclave):

Check if the types of access are consistent with the institution's dissemination policy, access conditions and services provided.

0

37 Response Has the NSO responded to your email? 1

38 Response How many days to respond? 1

Metadata & Citations 0.5

39 Citations page:

Is there a citations page? 1

40 Does the citation page actually display citations? 0

Innovation 0

41 Innovations Are there innovative additions to the NADA to help introduce a user to the catalog?

0

Annex 4: Country prioritization of data development activities in post 2015 agenda

20

# Activity Priority (5 being the highest priority)

1 2 3 4 5

1 NSDS Data Module and Survey Planning

X

2 Nodal Analysis in data production chain and evaluating portal management

X

3 Innovation inventory for problem solving X

4 Principles of SDMX and training workshop

X

5 Data Curation Process Manual and Institutionalization of documentation

X

6 Comprehensive (General) data dissemination policies

X

7 Managing Users and how to use citations and Google Analytics

X

8 Harmonizing data between Census, Survey, and Civil Registration

X

9 Harmonizing survey data and administrative data

X

10 Promoting data use and portal use

X

11 Using mobile data entry (Tablets) for surveys

X

12 Big Data Workshop (How to use Mobile phone data for migration)

X

13 Data Visualization workshops using R and visualization libraries

X

14 Approaching the SDGs

X

Note: Put cross (×) in the appropriate box of your selection.