<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="/oai2.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-11-10T10:11:19Z</responseDate><request verb="GetRecord" identifier="oai:repository.slads.sc.tz:cmsj2wrmy004uk8c5dju8hy58" metadataPrefix="oai_dc">https://repository.slads.sc.tz/api/oai</request><GetRecord><record><header><identifier>oai:repository.slads.sc.tz:cmsj2wrmy004uk8c5dju8hy58</identifier><datestamp>2026-11-10T09:59:56Z</datestamp><setSpec>department:RAM</setSpec><setSpec>type:dissertation</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>AN ASSESSMENT ON GOVERNMENT RECORDS SECURITY  CONTROLS ON ENHANCING CONFIDENTIALITY TO  CUSTOMER RECORDS: CASE STUDY AT TANZANIA  REVENUER AUTHORITY (TRA), KINONDONI REGION.</dc:title><dc:creator>Jonathan Jackson John</dc:creator><dc:subject>African Regional Organization for Standardization</dc:subject><dc:subject>Closed-Circuit Television</dc:subject><dc:subject>Data Protection Commissioner of Tanzania</dc:subject><dc:subject>General Data Protection Regulation</dc:subject><dc:description>This study assessed government records security controls in enhancing the confidentiality 
of customer records, using the Tanzania Revenue Authority (TRA), Kinondoni Regional 
Office, as a case study. The research was guided by three specific objectives: examining 
current physical security measures, determining challenges facing security controls, and 
identifying possible solutions to protect customer record confidentiality. A descriptive 
cross-sectional research design employing a mixed-methods approach was adopted. The 
target population comprised 264 employees, from which a sample size of 159 respondents 
was derived using Slovin’s formula. Data collection was executed through structured 
questionnaires, semi-structured key informant interviews, and documentary observation. 
Quantitative data were analyzed using descriptive statistics via SPSS version 25.0, while 
qualitative data underwent thematic analysis. The findings revealed strong structural 
perimeter controls (server rooms locked, mean = 4.34) and effective role-based access 
control within the IT system (mean = 4.01). However, critical vulnerabilities were 
identified, including the absence of automated biometric access tracking (mean = 3.12) 
and the lack of mandatory Multi-Factor Authentication (MFA) (mean = 2.52). Operational 
challenges were predominantly driven by power outages and network instability (mean = 
4.10), which forced manual, paper-based workarounds that bypass digital audit logs. 
Infrequent staff training on data privacy (mean = 2.93) also exposed the organization to 
human-error security risks. The study concludes that while foundational perimeter and 
role isolation controls exist, operational and technical gaps hinder complete alignment 
with the Personal Data Protection Act No. 11 of 2022 and ISO/IEC 27001:2022 standards. 
It is recommended that TRA deploy mandatory MFA, integrate biometric tracking, 
establish dedicated solar backup links to eliminate manual workarounds, and conduct 
mandatory quarterly data privacy training for all staff.  </dc:description><dc:publisher>School of Library, Archives and Documentation Studies (SLADS)</dc:publisher><dc:date>2026</dc:date><dc:type>Text</dc:type><dc:type>Dissertation</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://repository.slads.sc.tz/records/cmsj2wrmy004uk8c5dju8hy58</dc:identifier><dc:language>en</dc:language><dc:rights>All rights reserved</dc:rights><dc:relation>https://repository.slads.sc.tz/api/records/cmsj2wrmy004uk8c5dju8hy58/file</dc:relation></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>