ndamis reclassification brief

8/12/2019 NDAMIS Reclassification Brief

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Contents1. Executive Summary ......................................................................................................................................................................................................................... 2

Background ......................................................................................................................................................................................................................................... 2

Description .......................................................................................................................................................................................................................................... 2

Evaluation Methodology ..................................................................................................................................................................................................................... 2

Key Findings ........................................................................................................................................................................................................................................ 2

Program Integrity ............................................................................................................................................................................................................................ 2

Client Service ................................................................................................................................................................................................................................... 2

Organizational and Procedural Impacts .......................................................................................................................................................................................... 2

Costs ................................................................................................................................................................................................................................................ 3

2. Introduction .................................................................................................................................................................................................................................... 4

ASSOCIATION FOR NON VIOLENCE IN THE NIGER DELTA ................................................................................................................................................................... 4

ANND Advocates: ............................................................................................................................................................................................................................ 4

OCTOPUS COMMUNICATIONS [OctopusyIDEAS] ............................................................................................................................................................................. 4

3. Niger Delta Amnesty Management Information System [NDAMIS] ............................................................................................................................................... 5

3.1 Purpose ................................................................................................................................................................................................................................... 5

3.2 Scope ....................................................................................................................................................................................................................................... 5

3.3 Description of the NDAMIS Provisional Reclassification......................................................................................................................................................... 5

3.3.1 Type of Biometrics Collected ........................................................................................................................................................................................... 5

3.3.2 Analysis and Matching ........................................................................................................................................................................................................... 5

4. Evaluation of the Provisional Reclassification................................................................................................................................................................................. 6

4.1 Evaluation methodology ......................................................................................................................................................................................................... 6

4.2 Provisional Reclassification Findings ............................................................................................................................................................................................. 6

5. Program IntegrityUsefulness of NDAMIS in Strengthening Identity Management and in Detecting Fraud............................................................................... 7

5.1 Overview ....................................................................................................................................................................................................................................... 7

5.2 Identity Management ................................................................................................................................................................................................................... 7

5.3 Conclusion ..................................................................................................................................................................................................................................... 7

6. Lessons Learned from the Provisional Reclassification .................................................................................................................................................................. 8

6.1 Strengthening Identity Management of Ex-Militants ................................................................................................................................................................... 8

6.2 Ex-Militant Service ........................................................................................................................................................................................................................ 8

6.3 Forward-Planning Lessons ............................................................................................................................................................................................................ 8

6.3.1 Operations .............................................................................................................................................................................................................................. 8

6.3.2 Information Data Synchronization and Harmonization ......................................................................................................................................................... 8

6.3.3 NDAMIS Harmonization Process ............................................................................................................................................................................................ 9

7. Conclusion ..................................................................................................................................................................................................................................... 10

Appendix A Funding/Business Model ................................................................................................................................................................................................ 11

Public Private Partnership (PPP) Concept ......................................................................................................................................................................................... 11

Appendix B I.T. Hardware and Equipment ......................................................................................................................................................................................... 12

Appendix C Pointers for Performance Indicator ................................................................................................................................................................................ 13

Appendix DDescription of Preparations for the Reclassification ...................................................................................................................................................... 16

1. Concept of Operations Planning ................................................................................................................................................................................................... 16

2. Privacy Considerations .................................................................................................................................................................................................................. 16

3. Equipment ..................................................................................................................................................................................................................................... 16

4. Preparations for Facial RecognitionPhoto Standards ................................................................................................................................................................ 16

5. Communications with Candidates ................................................................................................................................................................................................ 17

6. Communications with Stakeholders ............................................................................................................................................................................................. 17

Appendix E Photo Specifications ........................................................................................................................................................................................................ 18

Photograph and Head Size Specifications ......................................................................................................................................................................................... 18

Appendix F Data Harmonization Guide .............................................................................................................................................................................................. 19


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1. Executive Summary

Background

The increasingly un-attendant ex-militants, the advent of short-changing of candidates and the growing conflicts emerging in the various ex-

militants camps are all happening today because certain business rules and the transitional forms needed to be put in place to support these rules

were not taken into consideration by the Amnesty leadership throughout the various disarmament and demobilization phases

This singular flaw brings with it an increase in irregularities through identity and document fraud, and, therefore, concernon the part of

governments and citizens alikeabout the inability for government to adequately attend to legitimate ex-agitators, where which the initial

disarmament record-of-truth have been acquired and compromised.

It has been a genuine and patriotic unction which has propelled the Association for Non-Violence in the Niger Delta [ANND] and OCTOPUS

COMMUNICATIONS [OctopusyIDEAS], after a thorough Field Trial in our provisional reclassification exercise on a random audience of

some yet to be deployed beneficiaries in the Niger Delta Amnesty Program, we have developed new tools to harmonize and synchronize human

identification data [HID], better manage the growing consequential flaws and mitigate the attendant risks to leadership credibility and security by

introducing the Niger Delta Amnesty Management Information System [NDAMIS].

Every government agency must initially address well-defined objectives, which will add value, either directly to the bottom line or toward the

achievement of the organization's goals and objectives. This in turn gains insight to better align strategies and identify critical relationships and gaps

along four key dimensionspeople, process, culture and infrastructure. By understanding and improving alignment with these critical dimensions,

the Niger Delta Amnesty office as an agency can maximize the value and impact of information as a strategic corporate asset to gain competitive

advantage with the following aim:

1. To Control the Creation and Growth of Records2. To Reduce Operating Costs3. To Improve Efficiency and Productivity4. To Assimilate New Records Management Technologies5. To Ensure Regulatory Compliance6. To Minimize Litigation Risks7. To Safeguard Vital Information8. To Support Better Management Decision Making9. To Preserve the Corporate Memory10.To Foster Professionalism in Running the Business

Building on professional expertise, OctopusyIDEAS have designed a Management Information Data Synchronization and Harmonization to assess

the broad impacts of information technology on the Niger Delta Amnesty Management Information System [NDAMIS] and to do the following:

Improve program integrity through Data Integration Management Technology Assess the impact of Data Integration Management Technology on client service programs Explore the organizational and procedural impacts of NDAMIS Understand the costs of implementing Data Integration Management Technology

Description

A Two-Day Provisional Reclassification was conducted at Bakana Local Government Area, for Amnesty beneficiaries who have not been sent on

training after the Obubra Demobilization Program. All affected Amnesty beneficiaries who appeared at the site during the Provisional

Reclassification were required to submit photos and fingerprints. Questionnaires were issued to candidates and on returning same, Photos and

Fingerprints were collected on the forms at the site. All personal information gathered during the Provisional Reclassification was collected for

statistical purposes only and stored in a secure database. Consequent upon unavailability of capture devices, the fingerprints were collected on the

questionnaire forms only, as a result could not be included in the database.

Evaluation Methodology

The Provisional Reclassification exercise can be evaluated through various generic system reports, apart from recorded video, the exercise wasaccorded site visits by a client evaluator; in the person of Major BENARD, and other civic representatives.

Key Findings

Program Integrity

Fingerprint and facial recognitioneither alone or togethercan yield highly accurate results. Biometric technology is effective in detecting fraud.

Client Service

Full implementation of Data Integration Management Technology would require changes to service standards. Compliance with photo and fingerprints standards presents service challenges. Photo and Fingerprint capture is strongly recommended if

individual recognition is to be implemented fully.

Organizational and Procedural Impacts

Mobilization logistics, additional manpower and training were all required in order to implement biometrics to even a limited extent. Fullimplementation of biometrics will have an even greater effect on the facilities and resources required to deliver services.

Integrated data systems are recommended for full implementation of Data Integration Management Technology. Ergonomics is an important issue in workstations with limited areas.


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Costs

The Provisional Reclassification provided insight into the following:

The Costsof Data Integration Management Technology. The Impactof Data Capturing and Integration Management on current data systems and on workflow. Human Resourcerequirements, facility requirements, contracting and vendor costs, unit costs for equipment and the demand on network

capacity to transmit new data.


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2. Introduction

ASSOCIATION FOR NON VIOLENCE IN THE NIGER DELTA

The Association for Non-Violence in the Niger Delta stands for the Intrinsic Value and Dignity of GOD and Human Life

ANND Advocates:

Value Reorientation Environmental Protection Conflict Resolution and Reconciliation Human/Economic Development and Empowerment

OCTOPUS COMMUNICATIONS [OctopusyIDEAS]

Octopus Communications Majors on:

Information & Communication Technology Framework Media Communication Network Solution & Media Education Projects Corporate Consultants & Notary Public

Over a lifetime of corporate existence, we have delivered success in:

Human Resource Technology Human Resource Strategic Planning Organizational Development Mergers and Acquisitions Change Implementation Recruiting and Staffing Training and Development Succession Planning Diversity Planning Leadership Development Benefits and Compensation Metrics and Performance Management Employee Relations

The Amnesty Commission is facing the challenge of having to manage the growing conflict of ex-militants identification and its accompanying

permeability to fraud, brought about by the increasingly management information system oversight, with the advent of a shoddy disarmament

process. Broken promises means devastating consequences facilitated through identity and document fraud, and therefore, more concern about

aggrieved ex-militant derailment.

Around the world, governments and industries have been developing new tools geared to better manage the identification of people and to mitigate

the attendant risks to capacity building and job security. Many of these new tools involve biometricsthe automated recognition of individuals

based on their characteristic records if only is made readily available by the Amnesty commissiona feat yet to be accomplished.

One factor driving the implementation of Management Information Data Synchronization and Harmonization at OctopusyIDEAS is the need to

link a single record created in one office with a subsequent application in the Niger Delta Amnesty Management Information System or in the

Amnestys external operations. Managing a particular ex-militants identity from the complex pool of candidates, by recording his/her biometric

data can help verify, manage and monitor DDR Progress on that particular ex-militants identity when he or she interacts with the Niger Delta

Amnesty Management Information System or an potential prospect. When verification is required, it could be performed as a simple check of the

computer and, when in question, be reviewed by a qualified specialist.

Subscribing the Management Information Data Synchronization and Harmonization of Niger Delta Amnesty Management Information System

could help achieve a number of program and security objectives:

Reduce Identity Fraud: Ex-Militants would become known under one unique identifier and therefore could not apply again under adifferent name. Repeat engagements under fraudulent identities would be vastly reduced.

Provide a Link between Initial Disarmament Phase Record-of-Truth and Various Demobilization Phases : The Niger Delta AmnestyProgram enrolled thousands of ex-militants who appeared for disarmament with no identity documents but whose fingerprints and facial

recognition must have been capture, whether physically or electronically. Understanding the migration link, tracking misrepresentation in

candidates and confirming the identity of undocumented beneficiaries is a program integrity priority for the Amnesty Commission. It is

highly vulnerable to sweep such sensitive issue under the carpet.

Ensure Entitlement for Empowerment: The Niger Delta Amnesty Commission has no automated way of ensuring that anundocumented/in-waiting ex-militant is the same person as the candidate who was approved for empowerment. Management Information

Data Synchronization and Harmonization offers a fast and effective way to facilitate the decision process.

Speed up Background Checks: Searching by name is a cumbersome way to perform background checks, and it often produces poor resultsbecause of changes in client names or different spellings of similar names. Data Integration Management Technology would significantly

improve the speed and accuracy of any kind of background checks. Enhance Identity Management to Improve Ex-militants Service: With Data Integration Management Technology-based identity

management, a broad range of client service options becomes feasible with no negative impacts on program integrity. For example, using the

Niger Delta Amnesty Management Information System to secure an ex-militants identity during the first interaction with a prospective

empowerment party could enable the client to conduct subsequent interactions through a secure Internet channel.


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3. Niger Delta Amnesty Management Information System [NDAMIS]

3.1 Purpose

In June, 2013, the ASSOCIATION FOR NON-VIOLENCE IN THE NIGER DELTA allocated N6.5 million to design, implement and evaluate an

operational provisional reclassification to explore how Management Information Data Synchronization and Harmonization could be used in DDR

management process and to facilitate external relations, enhancing program integrity and client service. The specific objectives can be summarized

as:

Implementing Management Information Data Synchronization and Harmonization as a program integrity tool. Understanding the impact of the introduction of Data Integration Management Technology on client service for Niger Delta DDR

management process and inter-agency facilitation.

Exploring the organizational and procedural impacts of Niger Delta Amnesty Management Information System. Understanding Management Information Data Synchronization and Harmonization program costs so they can be measured against benefits.

The ANND and OctopusyIDEAS experience during the provisional reclassification, as well as evaluation results, will be used to inform forward

planning.

3.2 Scope

The Provisional Reclassification ran for two days at the Civic Centre of Bakana LGA in Rivers state. During those two days, all Ex-Militants who

appeared at the site to apply for reclassification were required to provide biometric data, by facial and fingerprints on their reclassification

questionnaire forms.

Provisional Reclassification sites were chosen in order to:

Ensure a Diversity of Ex-Militants Representing many cases of Un-engagement: Bakana LGA happens to be one of the most conducive andshortest proximities in distance to Port Harcourt and therefore serve a diversified population of ex-militants. Their selection ensured that the

population was not homogenous.

Measure the Service Effects of In-person Enrolment: The exercise served most Ex-Militants in person. In addition, the reclassificationactivities were expected to have little impact on operations but to allow for the collection of enough data to measure the impact on service.

Ensure Maximum Entry Verification: Questionnaire forms were matched with the most likely data-coding, thereby allowing for the greatestpotential for collecting biometrics for verification purposes.

3.3 Description of the NDAMIS Provisional Reclassification

The NDAMIS Provisional Reclassification involved the introduction of fingerprint and facial recognition technologies to the processing of

heterogeneous categorize of ex-militants.

3.3.1 Type of Biometrics Collected

Photos

Affected candidates were routinely required to submit their photos as part of the reclassification process. In order to maximize the accuracy of facial

recognition technology, photos received were scanned to meet OctopusyIDEAS photo standards and specifications based on our specified photo

standards for size, pose, lighting and other related specifications, after which scanned copies were sorted and uploaded to individual records on the

database. Non-compliant photos were rejected through a quality assurance process at the OctopusyIDEAS laboratory and affected ex-militants

records were required to be left without any portrait.

Fingerpr ints

Right thumb, flat fingerprints were collected during reclassificationat the site. During reclassification, candidates were asked to make an imprint of

their right thumb fingers on the designated space in their questionnaire forms. These capabilities will be important to the success of a fully deployed

system.

For the purpose of Data Synchronization and Harmonization, Photos and fingerprints records from the various initial disarmament

phases are required from the Amnesty office. Such data collected would be captured in the database for the purposes of matchinganalysis.

The volume of enrolments at the Bakana provisional reclassification are deemed to be significant enough to enhance the technical testing under the

provisional reclassification and presents the possibility to test match ex-militants who claimed to have participated in Disarmament and those who

succeeded to go through the Obubra Demobilization program respectively. There appears the potential to identify original candidates who actually

participated in a particular approved demobilization for identity fraud from malefactors crossing over between the disarmament flaw and the

demobilization phases, which Data Integration Management Technology can identify as a security gap.

3.3.2 Analysis and Matching

The facial biometric information has been synchronized with individual records according to standards and virtualized via securely protected

channel of data layer structured database at OctopusyIDEAS Head Quarters in Calabar, where biometric matching and analysis were conducted.


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4. Evaluation of the Provisional ReclassificationThis section describes the evaluation methodology and provides a brief overview of some key results obtained. These results are described in greater

detail in the remainder of this report.

4.1 Evaluation methodology

The evaluation of the NDAMIS Provisional Reclassification was guided by performance indicators which were developed prior to the launch of the

Provisional Reclassification. Detailed indicators can be evaluated under four key objectives as listed below in Table 4-A.

Table 4-A: Provisional Reclassification evaluation framework

Objective Outcomes measured

1. Identity Management and Program Integrity

Goal: To measure Data Integration Management Technology as an identity management and

program integri ty tool

I1 Identity management outcomes

I2 Facial recognition system performance

I4 Facial recognition fusion performance

I5 Overall biometric system performance

2. Client Service

Goal: To understand the impact of the introduction of Data Integration Management Technology on

client service for Niger Delta Amnesty Program Management

C1 Client facilitation

C2 Client relations

C3 Public Opinion

3. Operational Impact

Goal: To explore the organizational and procedural impacts of Data Integration Management

Technology implementation.

O1 Amnesty office impacts

O2 Camp Affiliation Impacts

O3 Usability of Ex-militants Data

O4 Centralized Matching Impacts

O5 Ergonomics

O6 Human Resources Impacts

4. Cost Factors

Goal: To understand Data Integration Management Technology program costs so that they can be

measured against benefits.

C1 Implementation costs

4.2 Provisional Reclassification Findings

Observations from the Provisional Reclassification indicate that the Management Information Data Synchronization and Harmonization for an

actualization of the Niger Delta Amnesty Management Information System [NDAMIS] would yield enough data to allow for a thorough evaluation.

The following tables provide some notable statistical pointers for an analysis of the Management Information Data Synchronization and

Harmonization program:

Table 4-B: NDAMIS Reclassification Pointers at a Glance

ITEM VOLUME

Total ex-militant enrolments at all stages DISARMAMENT + DEMOBILIZATION

Enrolments at both stagesDISARMAMENT

DEMOBILIZATION

It is interesting to note that even during the limited Provisional Reclassification period there were repeat ex-militants. Most of these candidates

applied with the same UN-Code (usually after being refused the first time). This shows the potential to facilitate these repeat ex-militants by

enrolling their biometrics via direct capture devices, and then only verifying them at subsequent encounters.

Table 4-C: Investigative NDAMIS Reclassification Pointers

ITEM VOLUME

Reclassification Ex-Militants Claiming Disarmament

Multiple Documentation (Biometric Matches)

Number of Candidates who repeated UN-Codes

Ex-Militants correctly matched using only facial

recognition with system recommended threshold

Ex-Militants correctly matched using only

fingerprints with system recommended threshold

Ex-Militants correctly matched using both facial

and fingerprint recognition


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5. Program IntegrityUsefulness of NDAMIS in Strengthening Identity Management and in Detecting Fraud

5.1 Overview

The provisional reclassification demonstrated the capacity to fix candidates identity using Data Integration Management Technology and to increase

confidence in decisions relating to candidate identity. Those repeat ex-militants match results shows that Data Integration Management

Technology is a highly effective way to manage client identity, owing to the facts where:

The fingerprint and facial biometrics enrolled will be of high quality.

When facial and fingerprint recognition are combined, the system makes matches in 100% of cases.During the course of Data Integration after record-of-truth capturing, our Data Integration Management Technology search engine can be linked to

the previous and initial facial and fingerprint biometric interaction. Of these, the matches can provide a variety of security pointers from a program

integrity perspective where:

There is a clear case of fraud involving persons who have separate applications under different identities. The OctopusyIDEAS DataIntegration Management Technology system should enable Amnesty Commission to make a link between the two identities, which would

otherwise have been impossible.

The OctopusyIDEAS Data Integration Management Technology system will enable Amnesty Commission to make a link to previousdouble entry data, which would normally have had to be done manually, but if there is full biometrics implementation, would enhance the

decision-making process.

5.2 Identity Management

Biometric technologies like the fingerprint and facial recognition technologies tested under the provisional reclassification have undergone

significant industry testing to establish their effectiveness as identification tools. OctopusyIDEAS wanted to test these technologies in day-to-day

operations.

The Provisional Reclassification was designed to yield a statistically significant number of identification matches in order to test the quality and

performance of Data Integration Management Technology as an identity management tool.

OctopusyIDEAS measured the following aspects of the performance of the Provisional Reclassification system:

The quality of the collected biometrics, combined with performance measurements used in the industry The accuracy of matches with the number of repeat enrolments of the UN-Codes The accuracy of matches with the number of ex-militants who, enrolled once with their UN-Codes

Those key accuracy measurements gave OctopusyIDEAS a better understanding of the benefits of biometric tools for its Data Integration

Management programs. The provisional reclassification successfully tested the capacity of Data Integration Management Technology to aid inmanaging the identity of repeat ex-militants, in linking of case history and in detecting identity fraud.

5.3 Conclusion

Biometric technology is an effective tool for confirming identity and detecting fraud. Matching performance was found to be high. Based on the

accuracy of results for ex-militants known to have had repeat entries, both fingerprint and facial biometrics can perform well in identifying more

complex cases of ex-militants.

Analysis of the data confirms that biometrics can fix the identity of an applicant and confirm linkages. Expanding the use of OctopusyIDEAS Data

Integration Management would increase NDAMISs ability todetect cases of misrepresentation and abuse of programs, and would provide a strong

link to previous Disarmament records. In addition, mandatory biometric verification would likely have a deterrent effect.


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6. Lessons Learned from the Provisional Reclassification

6.1 Strengthening Identity Management of Ex-Militants

Biometrics can help strengthen identity management of the Delta Amnesty Management Information System, because it can reliably linkeach candidate to a management decision. Hence, implementing the Niger Delta Amnesty Management Information System would

strengthen the integrity of DDR programs and increase the Niger Delta Amnesty confidence in Ex-militants.

Data Integration Management Technology can assist greatly in the NDAMIS program integrity. Even under the limited conditions of theprovisional reclassification, biometrics helped OctopusyIDEAS discover that several candidates had repeated their UN-Codes. Therefore,

in a situation where the Amnesty decision makers would have real-time access to matching results, biometric matching could assist in

validating identity and reducing the incidence of identity fraud. The same automated matching capability could be used to check previous

disarmament activities and documentation records.

Using Data Integration Management Technology can help with client identity management across different Niger Delta Amnesty programsplatforms. During the Provisional Reclassification, some candidates swabbed admittance items, this case is considered fraud.

The combination of both biometrics (photos and fingerprints) proves to be better than either used alone. Either Facial or Fingerprintrecognition alone can fail to identify two sets of photos above the recommended threshold. Because two facial recognition false non-

matcheswould not be the same people as the false non-matches" for fingerprints, when combined together, using both biometrics may

yield all matches. While fingerprints are, as expected from the large body of research, a much more accurate biometric, they alone cannot

assist in all cases. In a fully deployed system, the ability of an officer to compare the retrieved photo with the live candidate will help in these

cases.

Verifying admittance items at the reclassification site may have deterred the entry of some ex-militants at stages of entry participating in theProvisional Reclassification. While the number of provisional reclassification ex-militants actually exceeded expectations, analysis shows

that the affected candidates documented at the venue of reclassification was much lower than expected (below 50% of Provisional

Reclassification Ex-Militants were detected at the venue). Even allowing for mitigating factors such as; granting admittance for affected

candidates with the former disarmament identification card at the reclassification site, this is an extremely low number.

6.2 Ex-Militant Service

Service Levels: Current service levels at the Amnesty offices can be maintained while collecting biometrics of former disarmamentexercises, but only through the use of additional human resources, can there be success in implementing the Management Information Data

Synchronization and Harmonization program. During provisional reclassification, the time to enroll and verify were, on average, can be

judged to be acceptable and did not impede the flow of business. Nonetheless, some existing facilities have to be integrated in order to

accommodate biometric enrolment equipment such as digital cameras and fingerprint readers. Mandatory in-person enrolment of biometrics

at subsequent reclassification exercises could require significant investment in facilities and human resources to accommodate timely

delivery.

Biometric Capture: The Provisional Reclassification showed that it is definitely feasible to obtain biometric details good enough forrecognition from the Ex-Militants. Given the additional pressure that requiring compliant biometric details caused for operations and the

extensive accompanying requirements, consideration may need to be given to having photos taken on site. This way, the Amnesty

Commission would be certain to have photos that would be acceptable to the NDAMIS, and OctopusyIDEAS would be certain that the

photo has not been tampered with, therefore the requirement for adequate provision of equipment.

6.3 Forward-Planning Lessons

6.3.1 Operations

Right Workflowis crucial to the successful implementation of the Management Information Data Synchronization and Harmonization. TheProvisional Reclassification has shown thatall the Ex-Militants biometrics must be collected in the same step andbe saved to their

record, preferably with the candidates in attendance. When this does not happen, there is room for administrative error. During the

Provisional Reclassification, when the photo scanning and the fingerprinting of the client occurred separately, there was every possibility for

clients passport being saved in another clients file. This situation was controlled and verified by the capable hands of the

OctopusyIDEAS Data team.

The Provisional Reclassification also showed that biometric information collection needs to be incorporated at the correct point in the

Management Information Data Synchronization and Harmonizations existing workflow. If not, biometric enrolment cansignificantly affect

productivity.

Experience Counts: Throughout the DDR phases, the entire documentation exercise were specifically dedicated to biometric capturing forwhich, today the Amnesty Management system cannot secure the common issue of short-changing of candidates, yet the multitude of ex-

militants enrolled daily and had an efficient work process where they made the most use of the system wait time. Experience makes a

differencewhen it comes to enrolling candidates in even the least sub-federal identity management database.

6.3.2 Information Data Synchronization and Harmonization

For any full implementation, there will be the need for prevalence in the following features: Time to save captured data to the biometric system should be faster than during the provisional reclassification. A user fingerprint reading feedback screen that provides feedback from the system to let officers know how they can improve their score.

The color map is helpful for determining which finger needs to be pressed harder against the fingerprint reader

Option of a simple visual feedback to the candidates when they are enrolling their 10 fingerprints. The ability to select the best fingerprint set if multiple sets were captured (retakes). In some cases the quality of the retake was worse

than that of the original set.

Performance reporting capabilities should be defined in advance and built into the design, using lessons learned from this ProvisionalReclassification.

Strong local IT support is important to having a successful implementation, especially during the installation and initial launch stage.Program requires considerable IT attention from OctopusyIDEAS.


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For high-quality fingerprints, the glass of the fingerprint reader must be cleaned regularly but not necessarily after every client. For any full implementation at reclassification site, there should be one fingerprint reader at each workstation. Any equipment should be

secured to the workstation, and officer safety and ergonomics should be kept in mind.

6.3.3 NDAMIS Harmonization Process

It would be agreed that the data custodians in the Niger Delta Amnesty Commission have very heterogeneous data, and some of them with no

associated metadata. The harmonization process will be focused in:

Previous study and comparison of available data and metadata with the HLANDATA data model and metadata profile. Transform or create datasets and metadata according to the HLANDATA data model and metadata profile.

Step by Step guides

During this section the guides for accomplishing Data and metadata harmonization are presented in Appendix F. Each of these guides is based on a

list of steps that can be easily followed. These steps are explained in detail helping the expert in church of the harmonization, giving possible tips,

answers, recommendations and requirements.

Each guide presents at the beginning a complete process diagram containing the symbols described below in Table 6-A.

Table 6-A: Investigative NDAMIS Reclassification Pointers

Begining and End of the Harmonization

Process

Q U E S T IO N

G U ID E

Guiding Questions

P R E V IO U S

P R O C E D U R E S

Previous Procedures

P R O C E D U R E S

Procedures Included in the Harmonization

S t ep X

Steps Number and Limits

Work flow Direction


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7. ConclusionThe Provisional Reclassification which was conducted at Bakana LGA, in Rivers state has shown that biometrics technology could be extremely

useful in strengthening identity management for the Niger Delta Amnesty Management Information System development program and in enhancing

the integrity of that program and of Niger Delta Amnesty Management security.

Biometrics were collected from many ex-militants and verified with no major disruption to operations at the provisional reclassification sites. The

data collected in the operational environment was of good quality, which allowed highly accurate biometric matching at the OctopusyIDEAS

Centre. Ex-militants understood and accepted the requirement for enrolment and verification of their biometrics.

The technical issues that emerged during the provisional reclassification were in most cases addressed within the period of the provisionalreclassification or could be addressed through better planning and technical design.

The provisional reclassification had an impact on operations, adding some stress to waiting capacity and requiring additional Officials to manage the

increase in processing. These issues were also manageable within the context of the limited scope of the provisional reclassification but would be

more challenging if OctopusyIDEAS moved to regular biometric collection as part of reclassification. The experience from the provisional

reclassification will inform future decision making, and the lessons learned will guide any future implementation.

OctopusyIDEAS would like to thank the Ex-militants, as well as all ANND and NIGER DELTA AMNESTY Officials who participated in the

Provisional Reclassification.


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Appendix A Funding/Business ModelA review of Capital outlay and Recurrent Expenditure budgets by different agencies in the production, issuance and maintenance of different

Identity Management Projects suggest that a more cost effective methodology would be to collapse these different applications into a NDAMIS.

This also supports the government reform programme, service delivery and e-government initiative. It has also been established that in Information

and Communication Technology related projects, the private sector is better equipped, more efficient and has the required level of technical

competence to manage such initiative. If the Business Model along the PPP concept can be superimposed on such an initiative, it is therefore an

appropriate strategic direction. This NDAMIS initiative is therefore considered one that can utilize the PPP concept with funding coming from the

solution provider and the government.

Public Private Partnership (PPP) Concept

The concept of PPP has become a universal practice in many areas of development and provision of social and economic services. There are always

competing interests for limited government funds. A PPP model also enables government to avoid permanent financing liabilities. More importantly,

it has been noted that private sector participation in ICT initiatives makes for a more efficient and effective running of projects. OctopusyIDEAS

has reviewed the financing viability of this initiative vis--vis the PPP concept and therefore suggests the adoption of PPP model. The proposed PPP

model is shown in the Table below.

PublicPri vate Partnership M odel

D e b t

P r ov i d e r s

P ub l i c S e c to r C l i e n t

E qu i ty

P r ov i d e r s

P r iva te E nt i ty

( C o n c e s s i o n a i r e )

O p e r a t i o n sa n d M a i n t e n a n c e

C on t r a c t

C on t r a c t to D e s i g n , B u i l d

an d M a in ta in the N D A M IS


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Appendix B I.T. Hardware and Equipment

Hardware & Equipment Table

Product Name Use Locations

Cross Match LS2 CHECK Scanners For 10-Fingerprints Capture Reclassification Site

Fujitsu FI-5220C Flatbed Scanner To Scan Flat Items Data Centre

Laptop PCs To Run Biometric Capture Software Reclassification Site

Unisys ES7000 Model 7600R G3

Enterprise Servers

For Central Biometric Data Centre

Management Field Data Centre

Extra servers will be installed after the field reclassification data is collected to carry out the high volume matching of photos and 10-fingerprint sets

using:

a. Only facial recognition for biometric matching; andb. Fingerprints as the prime and facial recognition as the secondary biometric matching.

This serversconfiguration will consist of 2 servers and 4 desktop PCs.


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Appendix C Pointers for Performance Indicator

Performance Indicators

Item Performance Indicator Sub-Indicator Methodology

Program integrity

I 1 Identity management outcomes

I1.1 Number of ex-militants identified

under multiple application identities

before Obubra Demobilization

Systematically via match score

reports and follow-up case analysis

Matches using photo Systematically via match score

reports of available photo matches

and follow-up case analysis

Matches using fingerprints Systematically via match score

reports of available fingerprint

matches and follow-up case analysis

I1.2 Number of multiple fingerprint and

photo enrolments in amnesty for

same ex-militants

Systematic review of enrolment

matches and follow-up case analysis

I1.3 Number of ex-militants identified

under multiple identities following

Documentation

Systematically via match reports and

follow-up case analysis

I1.4 Deterrent effect Processing volume comparisons for

all reclassification sites and analysis

I2 Facial recognition performance

I2.1 Efficiency Enrolment time Custom report for timing of photo

capture

I2.2 Effectiveness Failure to enroll photo Biometric system report

False matches for identification

(one-to-many)

Biometric system report and expert

analysis

False non-matches for identification

(one-to-many)


analysis

Correct identification matching Biometric system report and expert

analysis

Photo quality Biometric system report and expert

analysis

I3 Fingerprint recognition performance

I3.1 Efficiency Enrolment time for 10 fingerprints Biometric system report

Time for identification Biometric system report

Time for verification Biometric system reportTime for fingerprint verification

capture

Biometric system report

System wait times Biometric system report

Effectiveness Failure to enroll (all 10 fingerprints) Biometric system report and expert

analysis

Failure to capture verification print Biometric system report and expertanalysis

False matches for identification Biometric system report and expert

analysis

Correct identification matching Biometric system report and expert

analysis

False non-matches for identification Biometric system report and expert

analysis

False acceptance rates for

verification


analysisFalse reject rates for verification Biometric system report and expert

analysis

Correct non-matches for verification Biometric system report and expert

analysis

True acceptance rates for

verification


analysis

Systems biometric sample quality

scoring/assessment


analysis

I4 Fingerprint and facial recognition performance

I4.1 Effectiveness Review based on results from facial

recognition and fingerprints


I5 Overall biometric system performance

10-fingerprint readers Number/type of problems Data Centre and Reclassification Site

reporting and IT technical reports

Photo capture device Number/type of problems Data Centre reporting and ITtechnical reports

Laptop PCs Number/type of problems Reclassification Site reporting and IT

technical reports

Server - software Number/type of problems Data Centre / Reclassification Site



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Server - hardware Number/type of problems Data Centre / Reclassification Site


Network Number/type of problems Data Centre / Reclassification Site


Candidate service

S1 Candidate facilitation

Repeat ex-militants during the field

reclassification

Volume and time to resolve to

repeat field reclassification

candidates

Custom report based on biometric

system data

S2 Candidate relations Awareness of the field

reclassification

Survey

Candidates planned reclassification

points

Survey

Candidates attitudes and perceptions Survey

Candidates cooperation Officials interviews

Official complaints Supervisor reports

Access to Information Requests Amnesty Office reports

Judicial review Amnesty Office reports

Withdrawal of applications Case processing system reports

Candidates queries Reception Office, SAs office and

Unit reports

S3 Public opinion

Media coverage Monitoring of reports in the press

Organizational/procedural impactsO1 Data Centre impacts

Achieving photo standards Compliance with photo standards Manual sampling of photos

transmitted

Number of reclassifications

processed

Data Centre statistics generated from

case processing system

Wait time Additional wait times to conduct

biometric activities

Data Centre tracking and reporting

O2 Field Reclassification Site impacts

Number of field reclassification

participants seeking classification


Entry processing times Additional time to conduct

biometric activities


Number of booths open to field

reclassification

Supervisor reporting

Number of field reclassificationparticipants being enrolled for

fingerprints



participants refusing to enroll theirfingerprints

Supervisor reporting


participants fingerprints verified


Verification time for photo on

primary inspection line

Manual reporting

O3 Usability of Ex-militants data

Number of Ex-militants enrolled Biometric system report

Photo quality Manual reporting

Fingerprint quality Manual reporting

O4 Centralized matching centre impacts

Time to confirm a match suggestedby the system

Biometric system report and analysis

Time to confirm a non-match

suggested by the system

Biometric system report and analysis

Expert detection errors Expert peer review

O5 Ergonomics

Ease of fingerprint enrolment at

field sites from candidates

perspective

Manual reporting

O6 Human resource impacts

Training requirements Manual reporting

Recruitment and retention Manual reporting

Occupational stress Officials surveys

Cost factors

C1 Implementation costs

Project management Project management reportingVendor/capital expenses Project management reporting

Human resources New and specialized resource needs Project management reporting

Training costs Project management reporting

Facilities modifications Project management reporting

Equipment maintenance Project management reporting


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IT/network impacts Project management reporting


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Appendix D Description of Preparations for the Reclassification

1. Concept of Operations Planning

Planning the field reclassification concept of operations included examining the flow of both candidates and work at the site to determine how to

incorporate field reclassification procedures into current operations, and deciding where to place equipment.

Finalizing the concept of operations in community environment was challenging due to transport logistics and the requirement to have minimal

impact on processing times. After the consideration of many options, field reclassification was mobilized.

While workflow for the site was being agreed to during the planning of the concept of operations, it is worth noting that OctopusyIDEAS officeworkflows were adjusted shortly after the field reclassification takeoff. OctopusyIDEAS developed a unique flow that worked best given the

operating environment of the reclassification site.

2. Privacy Considerations

Any institution proposing to implement a new identity collection, use and disclosure of personal information, must first perform a privacy

assessment to identify privacy risks in order to understand how those risks can be mitigated. In part, a privacy risk identifies a potential improper

collection, use or disclosure of personal information with regards to legislation.

According to the Electoral Act 2003 and the Federal Road Safety Act, both Acts provide the basis of information for the issuance of voters card and

drivers license, owning that the information required for both voters card and drivers license are information similar to the information contained

in the National Civic Registration Act.

Also Chapter IV of the Constitution of the Federal Republic of Nigeria 1999 on the protection of fundamental human rights including right to

privacy. Section 45 of the same Constitution which also provides exceptions to fundamental human rights contained in the Constitution.

Reference can also be made to the following Acts:

i. National Civic Registration Act;ii. Passport Act;

iii. Immigration Act;iv. National Population Act;v. The National Health Insurance Scheme Act;

vi. Birth & Death (Compulsory Registration) Act; andvii. Pension Reform Act.From a privacy perspective, OctopusyIDEAS constructed the field reclassification questionnaire to fully respect the privacy rights of candidates

during the field reclassification and also in a way which NDAMIS database can easily be integrated into the various constitutional security

programs.

In order to protect the privacy rights of the individual, the field reclassification was structured so that no administrative action or decision-making

process of any kind at the participating field reclassification sites would be taken as a result of the biometric data collected. Rather, the information

collected will be analyzed by OctopusyIDEAS specialists in the OctopusyIDEAS secure laboratory at Calabar. In addition, all biometric

personal information will be handed over to the Amnesty Commission within three months of the termination of the field reclassification.

3. Equipment

A full list of equipment installed at all sites can be found in Appendix BIT Hardware and Equipment. The following two Figures (3-1) outline the

setup of the field reclassification equipment by site location:

Table 3: I.T. Hardware and Equipment Schematics

D e s k t o p

W o r k

S t a t i o n s Ident i ty

C a p t u r eDevices

S e c u r e

D a t a B a s e

S e r v e r s

Adm in is t ra tor &

IS M anag er /O D

L a p t o p

W o r k

S t a t i o n s

Stand Alone System: Integration of the field reclassification biometrics system was not possible during the Provisional Reclassification due to

operational constraints. As a result, an alternate method of entering client biographic data into a stand-alone biometrics system was developed tocapture candidate passports. This has been the basis on the type and amount of equipment required in the subsequent reclassification.

4. Preparations for Facial Recognition Photo Standards

Facial recognition results are greatly affected by the quality of the photobetter quality photos would yield more accurate matching results. As part

of the field reclassification planning, the Provisional Reclassification Project Team evaluated photos submitted by candidates at the field and found


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that majority of the photos submitted were not within current international standards. There is the need to establish and maintain enhanced photo

specifications in general and specifically for the field reclassification so that the quality of matching would be adequate for testing.

As a result, OctopusyIDEAS photo specifications, concurrent with International Civil Aviation Organization (ICAO) standards and applicable

worldwide, has been developed guidance.

5. Communications with Candidates

A field reclassification guide for field officials will be published in the OctopusyIDEAS and issued before the start of the field reclassification.

At the reclassification sites, a graphical field brochure (simple and classical) in the form of quick reference card on field reclassification procedureswill be distributed to candidates.

6. Communications with Stakeholders

After a briefing presentation session before a Standing Committee in the Amnesty office on the Niger Delta Amnesty Management Information

System Data Synchronization and Harmonization Project, the Committee representatives will be expected to endorse an approval of consent to

ANND/OctopusyIDEAS to implement and manage the Niger Delta Amnesty Management Information System Data Synchronization and

Harmonization Project


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Appendix E Photo Specifications

Table 3: Head Size S pecifications

Photograph and Head Size Specifications

The face must be square to the camera with a neutral expression, neither frowning nor smiling, with the mouth closed.

The frame size must be at least 35 mm X 45 mm (1" X 1") The photographs must show the full front view of the head, with the face in the middle of the photograph, and include the top of the

shoulders.").

The size of the head, from chin to crown, must be between 31 mm (1 1/4") and 36 mm (1 7/16"). Crown means the top of the head or (if obscured by hair or a head covering) where the top of the head or skull would be if it could be seen.

If a particular candidates captured photograph does not meet the specifications, new photograph will have to be captured before applicationcan be processed.


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Appendix FData Harmonization Guide

Table 3: Harmonization Process Diagram

S t o r e

T r a n s f o rm a t io n R u l e s

a n d D o c u m e n t

D a t a M o d e l?

M a t c h e a b l e ? D o c u m e n t

P e r f o r m

T r a n s f o r m a t io n

C h o o s e

T r a n s f o r m a t io n T o o l

a n d D o c u m e n t

C r e a t e t h e

M a t c h i n g T a b le

F i l l M a t c h i n g

T a b l e

C r e a t e a S i m p l e

B i o D a t a S t r u c t u re

I d e n t if y S o u r c e

D a t a M o d e l

Step2

Step1

S

tep3

Step4

Begin Harmonization P rocess

W i t h o u t

D a t a M o d e l

Any

Kind

DataM

odel

N O

YES

NDAMIS

Data Model

F i n is h H a r m o n i z a t io n P r o c e s s

ndamis reclassification brief

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