In this cross-sectional study, we extracted the uniform resource locator (URL) of each National Abortion Federation member facility on May 6, 2022. We visited each unique URL using webXray (Timothy Libert), which detects third-party tracking. For each web page, we recorded data transfers to third-party domains. Transfers typically include a user’s IP (internet protocol) address and the web page being visited. We also recorded the presence of third-party cookies, data stored on a user’s computer that can facilitate tracking across multiple websites.

An overwhelming majority of iPhone and iPad users are concerned about being tracked online. According to a survey carried out in the U.S. in 2021, when asked for their stance on new Apple's new privacy measures, 65% of iPhone and iPad users responded favorably. Less than a quarter thought the new policies were 'taking it too far'. The latest iOS version includes an update which means that when users open an app they will be asked explicitly whether or not they give permission for companies to track them across other apps and websites.

Use this guide to find information on Tempe data policy and standards.Open Data PolicyEthical Artificial Intelligence (AI) PolicyEvaluation PolicyExpedited Data Sharing PolicyData Sharing Agreement (General)Data Sharing Agreement (GIS)Data Quality Standard and ChecklistDisaggregated Data StandardsData and Analytics Service Standard

The Iceberg Tracking Beacon Database was developed to make iceberg and ice island drift trajectories public so that they can be used for research. The database contains data collected by academic, industry and government research groups. We recognize that these geographically and temporally variable drift tracks are more useful in a cohesive dataset that can be used for larger analyses than the original data providers may have anticipated. We encourage those who have beacon tracks of icebergs to submit them for inclusion into subsequent versions of this database.

This artifact accompanies the paper Monitoring the Internet Computer, which will be presented at the 25th International Symposium on Formal Methods (FM 2023). It provides the policy formulas described in Section 3.2 of the paper, the raw log files that were used in the evaluation, and all tools necessary to reproduce the experimental results, specifically those reported in Table 2 and Figure 5 in the paper.

See README.md for additional information and instructions.

Erratum (August 14, 2023): Unlike stated in Table 1 of the paper, the block-validation-latency policy included in this artifact does not contain a future operator. The operator was present in an earlier version of the policy. It was removed because it was not required given the structure of the log data. The future operator can be added by inserting

EVENTUALLY [0,0]

at the end of line 50 of the file policy-monitoring/mfotl-policies/block_validation_latency/formula.mfotl. We did not observe a meaningful change in the results when we repeated the experiments using both the included and the modified policy.

According to a 2022 survey of U.S. consumers, over half (55 percent) reported that the absence of by-mail options was the main reason they were discouraged from shopping online. The second most commonly cited deterrent was difficult-to-find return policies, with 31 percent of respondents. The need to contact customer support and the lack of a return tracking/portal followed closely, each cited by 28 percent of those surveyed.

Abstract copyright UK Data Service and data collection copyright owner.

The Public Attitudes Tracker (PAT) survey measures public awareness, attitudes, and behaviours relating to Department for Business, Energy and Industrial Strategy (BEIS) policies such as energy, climate change, consumer rights, artificial intelligence and workers' rights.

A previous version of the PAT began in March 2012 and was run on a quarterly basis with a total of 37 waves of data collection collected between 2012 and 2021. In Summer 2021, BEIS recommissioned the survey with the aim of creating a new time series based on a methodology which will allow more robust tracking of measures over the longer term.

The new survey series, which began in Autumn 2021, uses Address Based Online Surveying (ABOS), a cost-effective method of surveying the general population using random sampling techniques. ABOS is a 'push to web' methodology where the primary method of data collection is online, but respondents are also able to complete a paper version of the questionnaire which enables participation among the offline population.

The PAT is run four times a year. Questions on issues where attitudes are likely to shift quickly are repeated quarterly; other questions are asked annually with a few topics asked bi-annually.

Data are collected from a representative sample of the UK population so that results fairly represent the views of the wider population.

The main objectives of the new PAT series are:

• to provide BEIS with attitudinal data on their priorities
• to understand how BEIS policies affect customers
• to provide robust evidence for early policy development
• to monitor changes in public attitudes and awareness over time
• to establish a robust methodology for tracking change, which is future-proofed, ensuring comparable data collection over time

Further information, including topic reports, may be found on the GOV.UK BEIS Public Attitudes Tracker webpage.

Latest edition information

For the second edition (July 2023), data and documentation for Wave 4, covering Summer 2022, were added to the study.

Specific topics covered vary from quarter to quarter, but general topics covered include:

• artificial intelligence
• net zero and climate change
• energy infrastructure and energy sources
  
• heat and energy in the home
• energy bills and tariffs
• consumer issues
• workers' rights
• demographics
  

description: The State Authorization Tracking System (StATS) is an information management system designed to document the progress of each state and territory in establishing and maintaining RCRA-authorized hazardous waste management programs. StATS tracks the status of each state with regard to changes made to the federal hazardous waste regulations. The pages listed at the website show state authorization and adoption information for RCRA Subtitle C hazardous waste rules. Adoption information is based on data received from EPA regional offices. Currently, state authorization and adoption percentages are based on the required rules promulgated through RCRA Cluster XXII. Published federal register notices are the only legal mechanism by which EPA grants authorization to the states. If any of the information contained in the StATS database conflicts with information stated in the Federal Register, the Federal Register information will take precedence. We strongly recommend that the regulated community contact their state government office for hazardous waste regulatory information.; abstract: The State Authorization Tracking System (StATS) is an information management system designed to document the progress of each state and territory in establishing and maintaining RCRA-authorized hazardous waste management programs. StATS tracks the status of each state with regard to changes made to the federal hazardous waste regulations. The pages listed at the website show state authorization and adoption information for RCRA Subtitle C hazardous waste rules. Adoption information is based on data received from EPA regional offices. Currently, state authorization and adoption percentages are based on the required rules promulgated through RCRA Cluster XXII. Published federal register notices are the only legal mechanism by which EPA grants authorization to the states. If any of the information contained in the StATS database conflicts with information stated in the Federal Register, the Federal Register information will take precedence. We strongly recommend that the regulated community contact their state government office for hazardous waste regulatory information.

Interactive dashboard tracking NASA grants and contracts terminated by the second Trump Administration, including congressional district impacts and recipient details.

This is the Altmetric.com data for the set of journal articles used in this research. The data was provided by Altmetric.com, a research metrics company who track and collect the online conversations around millions of scholarly outputs. Altmetric continually monitors a variety of non-traditional sources to provide real-time updates on new mentions and shares of individual research outputs, which are collated and presented to users via Altmetric.com. The data was collated on the 15/08/2016. Any subsequent adjustments to the original data have been made by Dr Lauren Cadwallader and are fully explained in the document.

Codes for government action variables used in the analysis, adapted from the OxCGRT website (https://github.com/OxCGRT/covid-policy-tracker/blob/master/documentation/codebook.md).

On August 25th, 2022, Metro Council Passed Open Data Ordinance; previously open data reports were published on Mayor Fischer's Executive Order, You can find here both the Open Data Ordinance, 2022 (PDF) and the Mayor's Open Data Executive Order, 2013 Open Data Annual ReportsPage 6 of the Open Data Ordinance, Within one year of the effective date of this Ordinance, and thereafter no later than September1 of each year, the Open Data Management Team shall submit to the Mayor and Metro Council an annual Open Data Report.The Open Data Management team (also known as the Data Governance Team is currently led by the city's Data Officer Andrew McKinney in the Office of Civic Innovation and Technology. Previously, it was led by the former Data Officer, Michael Schnuerle and prior to that by Director of IT.Open Data Ordinance O-243-22 TextLouisville Metro GovernmentLegislation TextFile #: O-243-22, Version: 3ORDINANCE NO._, SERIES 2022AN ORDINANCE CREATING A NEW CHAPTER OF THE LOUISVILLE/JEFFERSONCOUNTY METRO CODE OF ORDINANCES CREATING AN OPEN DATA POLICYAND REVIEW. (AMENDMENT BY SUBSTITUTION)(AS AMENDED).SPONSORED BY: COUNCIL MEMBERS ARTHUR, WINKLER, CHAMBERS ARMSTRONG,PIAGENTINI, DORSEY, AND PRESIDENT JAMESWHEREAS, Metro Government is the catalyst for creating a world-class city that provides itscitizens with safe and vibrant neighborhoods, great jobs, a strong system of education and innovationand a high quality of life;WHEREAS, it should be easy to do business with Metro Government. Online governmentinteractions mean more convenient services for citizens and businesses and online governmentinteractions improve the cost effectiveness and accuracy of government operations;WHEREAS, an open government also makes certain that every aspect of the builtenvironment also has reliable digital descriptions available to citizens and entrepreneurs for deepengagement mediated by smart devices;WHEREAS, every citizen has the right to prompt, efficient service from Metro Government;WHEREAS, the adoption of open standards improves transparency, access to publicinformation and improved coordination and efficiencies among Departments and partnerorganizations across the public, non-profit and private sectors;WHEREAS, by publishing structured standardized data in machine readable formats, MetroGovernment seeks to encourage the local technology community to develop software applicationsand tools to display, organize, analyze, and share public record data in new and innovative ways;WHEREAS, Metro Government’s ability to review data and datasets will facilitate a betterUnderstanding of the obstacles the city faces with regard to equity;WHEREAS, Metro Government’s understanding of inequities, through data and datasets, willassist in creating better policies to tackle inequities in the city;WHEREAS, through this Ordinance, Metro Government desires to maintain its continuousimprovement in open data and transparency that it initiated via Mayoral Executive Order No. 1,Series 2013;WHEREAS, Metro Government’s open data work has repeatedly been recognized asevidenced by its achieving What Works Cities Silver (2018), Gold (2019), and Platinum (2020)certifications. What Works Cities recognizes and celebrates local governments for their exceptionaluse of data to inform policy and funding decisions, improve services, create operational efficiencies,and engage residents. The Certification program assesses cities on their data-driven decisionmakingpractices, such as whether they are using data to set goals and track progress, allocatefunding, evaluate the effectiveness of programs, and achieve desired outcomes. These datainformedstrategies enable Certified Cities to be more resilient, respond in crisis situations, increaseeconomic mobility, protect public health, and increase resident satisfaction; andWHEREAS, in commitment to the spirit of Open Government, Metro Government will considerpublic information to be open by default and will proactively publish data and data containinginformation, consistent with the Kentucky Open Meetings and Open Records Act.NOW, THEREFORE, BE IT ORDAINED BY THE COUNCIL OF THELOUISVILLE/JEFFERSON COUNTY METRO GOVERNMENT AS FOLLOWS:SECTION I: A new chapter of the Louisville Metro Code of Ordinances (“LMCO”) mandatingan Open Data Policy and review process is hereby created as follows:§ XXX.01 DEFINITIONS. For the purpose of this Chapter, the following definitions shall apply unlessthe context clearly indicates or requires a different meaning.OPEN DATA. Any public record as defined by the Kentucky Open Records Act, which could bemade available online using Open Format data, as well as best practice Open Data structures andformats when possible, that is not Protected Information or Sensitive Information, with no legalrestrictions on use or reuse. Open Data is not information that is treated as exempt under KRS61.878 by Metro Government.OPEN DATA REPORT. The annual report of the Open Data Management Team, which shall (i)summarize and comment on the state of Open Data availability in Metro Government Departmentsfrom the previous year, including, but not limited to, the progress toward achieving the goals of MetroGovernment’s Open Data portal, an assessment of the current scope of compliance, a list of datasetscurrently available on the Open Data portal and a description and publication timeline for datasetsenvisioned to be published on the portal in the following year; and (ii) provide a plan for the next yearto improve online public access to Open Data and maintain data quality.OPEN DATA MANAGEMENT TEAM. A group consisting of representatives from each Departmentwithin Metro Government and chaired by the Data Officer who is responsible for coordinatingimplementation of an Open Data Policy and creating the Open Data Report.DATA COORDINATORS. The members of an Open Data Management Team facilitated by theData Officer and the Office of Civic Innovation and Technology.DEPARTMENT. Any Metro Government department, office, administrative unit, commission, board,advisory committee, or other division of Metro Government.DATA OFFICER. The staff person designated by the city to coordinate and implement the city’sopen data program and policy.DATA. The statistical, factual, quantitative or qualitative information that is maintained or created byor on behalf of Metro Government.DATASET. A named collection of related records, with the collection containing data organized orformatted in a specific or prescribed way.METADATA. Contextual information that makes the Open Data easier to understand and use.OPEN DATA PORTAL. The internet site established and maintained by or on behalf of MetroGovernment located at https://data.louisvilleky.gov/ or its successor website.OPEN FORMAT. Any widely accepted, nonproprietary, searchable, platform-independent, machinereadablemethod for formatting data which permits automated processes.PROTECTED INFORMATION. Any Dataset or portion thereof to which the Department may denyaccess pursuant to any law, rule or regulation.SENSITIVE INFORMATION. Any Data which, if published on the Open Data Portal, could raiseprivacy, confidentiality or security concerns or have the potential to jeopardize public health, safety orwelfare to an extent that is greater than the potential public benefit of publishing that data.§ XXX.02 OPEN DATA PORTAL(A) The Open Data Portal shall serve as the authoritative source for Open Data provided by MetroGovernment.(B) Any Open Data made accessible on Metro Government’s Open Data Portal shall use an OpenFormat.(C) In the event a successor website is used, the Data Officer shall notify the Metro Council andshall provide notice to the public on the main city website.§ XXX.03 OPEN DATA MANAGEMENT TEAM(A) The Data Officer of Metro Government will work with the head of each Department to identify aData Coordinator in each Department. The Open Data Management Team will work to establish arobust, nationally recognized, platform that addresses digital infrastructure and Open Data.(B) The Open Data Management Team will develop an Open Data Policy that will adopt prevailingOpen Format standards for Open Data and develop agreements with regional partners to publish andmaintain Open Data that is open and freely available while respecting exemptions allowed by theKentucky Open Records Act or other federal or state law.§ XXX.04 DEPARTMENT OPEN DATA CATALOGUE(A) Each Department shall retain ownership over the Datasets they submit to the Open DataPortal. The Departments shall also be responsible for all aspects of the quality, integrity and securityPortal. The Departments shall also be responsible for all aspects of the quality, integrity and securityof the Dataset contents, including updating its Data and associated Metadata.(B) Each Department shall be responsible for creating an Open Data catalogue which shall includecomprehensive inventories of information possessed and/or managed by the Department.(C) Each Department’s Open Data catalogue will classify information holdings as currently “public”or “not yet public;” Departments will work with the Office of Civic Innovation and Technology todevelop strategies and timelines for publishing Open Data containing information in a way that iscomplete, reliable and has a high level of detail.§ XXX.05 OPEN DATA REPORT AND POLICY REVIEW(A) Within one year of the effective date of this Ordinance, and thereafter no later than September1 of each year, the Open Data Management Team shall submit to the Mayor and Metro Council anannual Open Data Report.(B) Metro Council may request a specific Department to report on any data or dataset that may bebeneficial or pertinent in implementing policy and legislation.(C) In acknowledgment that technology changes rapidly, in the future, the Open Data Policy shouldshall be reviewed annually and considered for revisions or additions that will continue to positionMetro Government as a leader on issues of

Online Life Insurance Market Outlook

The global online life insurance market size was valued at approximately USD 15 billion in 2023 and is expected to grow to around USD 50 billion by 2032, exhibiting a CAGR of 14% during the forecast period. This significant growth rate can be attributed to the increasing digitalization of financial services, growing consumer awareness about the importance of life insurance, and the convenience offered by online platforms.

The online life insurance market is primarily driven by the rapid adoption of digital technologies and the increasing penetration of the internet and smartphones globally. The accessibility of online platforms allows consumers to compare different life insurance policies quickly and easily, leading to more informed decision-making. Moreover, the COVID-19 pandemic has accelerated the digital transformation in many sectors, including life insurance, where the necessity to minimize physical contact has driven consumers to online platforms.

Another key factor contributing to the growth of the online life insurance market is the demographic shift, particularly the increasing number of tech-savvy millennials who prefer managing their financial portfolios online. This generation values the efficiency and transparency provided by digital channels, which align with their lifestyle preferences. Additionally, advancements in artificial intelligence and big data analytics are enhancing the capabilities of online platforms, making the insurance buying process more personalized and efficient.

Furthermore, regulatory reforms in several countries aimed at promoting financial inclusion and protecting consumer interests are propelling the growth of the online life insurance market. Governments and regulatory bodies are encouraging the adoption of digital channels to ensure wider reach and accessibility of insurance products. These initiatives are providing an impetus to insurers to innovate and improve their online offerings to remain competitive in the market.

Regionally, North America holds a significant share of the online life insurance market, driven by high internet penetration, technological advancements, and a mature insurance market. Europe is also a major market due to the strong presence of key players and favorable regulatory frameworks. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by an expanding middle-class population, increasing awareness of life insurance, and growing adoption of digital technologies.

Policy Type Analysis

Term life insurance is one of the most popular policy types in the online life insurance market. This type of insurance provides coverage for a specified term, usually ranging from 10 to 30 years. The affordability of term life insurance policies makes them particularly attractive to young adults and families who are looking to secure financial protection without breaking the bank. The simplicity and transparency of term life insurance, combined with the ease of purchasing online, contribute significantly to its popularity.

Whole life insurance, which provides coverage for the insured's entire lifetime, is another significant segment. Unlike term life policies, whole life insurance includes a savings component, known as cash value, which grows over time. This feature makes whole life insurance appealing to individuals looking for both insurance protection and an investment vehicle. The online platforms facilitate the comparison of whole life insurance policies, helping consumers make informed decisions about long-term financial planning.

Universal life insurance offers flexible premiums and death benefits, along with a savings component that earns interest. The flexibility of universal life insurance policies appeals to consumers who want to adjust their coverage and premium payments according to their changing financial circumstances. Online platforms provide calculators and tools to help consumers understand the potential growth of their policy's cash value, enhancing the attractiveness of universal life insurance.

Variable life insurance stands out in the market due to its unique investment component, allowing policyholders to allocate a portion of their premium payments into various sub-accounts, similar to mutual funds. This feature offers the potential for higher returns, making it an attractive option for t

This report focuses on approximately thirty French markets, contributing to local debates and research as part of the Global Media and Internet Concentration Project (GMICP). It explores the dynamics of diversified economic players in cultural industries (press, audiovisual, books, music), emphasizing the coexistence of 'traditional' and 'new' entrants. The study provides sector-based and global analyses, revealing a dual dynamic of diversification and concentration in the production, distribution, and broadcasting of cultural and information content. Audiovisual content broadcasting, both free and pay, demonstrates national dominance but faces challenges from foreign groups. Financialization and concentration affect media and cultural goods industries, posing risks to diversity of opinion. The dominance of North American groups in digital services, particularly in advertising, is noted, impacting traditional media revenues. Telecom operators lead the French market, with regulators monitoring concentration dynamics for potential negative impacts on diversity.

The purpose of the 2011 Child Care Licensing Study is to report two aspects of child care licensing from 2011 for all 50 states and the District of Columbia (not including Idaho): (1) state child care licensing programs and policies and (2) child care center and family child care home licensing regulations. The study focuses on the processes and policies in each state related to staffing for the licensing program, monitoring facilities, and enforcement of licensing regulations.

To collect information on states' licensing policies, including staffing, monitoring, and enforcement of licensing regulations, the National Association for Regulatory Administration (NARA) disseminated the 2011 NARA Child Care Licensing Program Survey to all state child care licensing agencies in May 2012. Responses were received from all states. The survey focused on the processes and policies in each state related to staffing for the licensing program, monitoring facilities, and enforcement of licensing regulations. The data cover the following topical areas:

• Number of licensed facilities
• Complaint investigations
• Licensing staff
• Enforcement actions
• Types of inspections
• Licensing information on the Internet
• Frequency of inspections
• Licensing fees
• Frequency of licensing
• Licensing staff requirements
• Inspections and monitoring and
• Licensing's role in quality initiatives

The child care center licensing regulations used for this study are those that were posted on the National Resources Center for Health and Safety in Child Care (NRC) Web site. The data cover the following areas:

• Licensing regulations
• Additional staff training requirements
• Definition of licensed child care centers
• Child-staff ratios and group size
• Staff roles and age requirements
• Supervision of children
• Staff qualifications and ongoing training requirements
• Care of children
• Facility requirements and
• Staff hiring requirements

The same Web site was used to collect licensing regulations covering the above listed topics for small family child care homes and large/group family child care homes. More information on the study is located at the National Association for Regulatory Administration's Web site.

Screening steps of environmental regulation policies.

Abstract

To support sustainable fish food systems and nutrition in sub-Saharan Africa, the Norwegian Agency for Development Cooperation (NORAD) provided funding to the FAO to support initial project activities in five countries (Sierra Leone, Malawi, Ghana, Uganda, Tanzania) with a focus on strengthening women's roles in the small-scale fisheries post-harvest sector. Three surveys were developed to capture information from various stakeholders:

• Individual/Household level: The baseline study conducted for this project included individual intercept surveys targeting women as actors in small-scale fisheries value chains. The purpose of the survey was to understand both the individual respondent (i.e., the woman) and her household's involvement in fisheries, how they acquire and consume fish, their experiences of food security and dietary practices, and participation in fisheries governance and organizations. Approxtaimely 300 women were surveyed per country. This study was conducted for baseline monitoring and evaluation of the project “Empowering women in small-scale fisheries for sustainable food systems”.

• Focus group discussions: Focus group discussions were held in each landing site alongside data collection using other survey instruments. The purpose of the focus group discussions was to elicit qualitative data reflecting the opinions of women from the same fish landing sites on key issues affecting their work, status, and roles in the sector. This included their opinions of discrimination or harassment against women, their voice in decision-making and ability to influence fisheries governance, changes in gender relations over time, and their access to training, facilities, and assets needed to conduct their fisheries activities. This study was conducted for baseline monitoring and evaluation of the project “Empowering women in small-scale fisheries for sustainable food systems”.

• Individuals (with policy-level influence in the small-scale fishing sector): The baseline study conducted for this project included key informant interviews with those in policy, programme, or other similar levels of sector influence (e.g., Policy Makers, Government, Projects, Programmes working on social and health interventions in fishing communities). The purpose of the key informant interviews was to understand the opinion of respondents on local the diet and eating patterns of the community, women’s empowerment, facilities they believe exist at or are in place and serve fish workers. In addition, the questions sought to gain an understanding of what is already known at decision-making levels of the FAO SSF Guidelines and knowledge of fishing community’s capacity building needs and how learning and technological change occurs. This study was conducted for baseline monitoring and evaluation of the project “Empowering women in small-scale fisheries for sustainable food systems”.

*Uganda study will be published soon.

Geographic coverage

National coverage of coastal areas of high importance to fisheries, including both inland and marine fisheries (where relevant) and both major and minor water bodies. A sample of coastal regions or districts that met these criteria and represented the diversity of fisheries in the country was chosen (non-random sample).

Analysis unit

Individuals, Households, Focus Groups

Universe

• Individual/Household level: Women who work in small-scale fishing value chains (harvest, post-harvest processing or trade).
• Focus groups: Women who work in small-scale fisheries.
• Individuals (with policy-level influence in the small-scale fishing sector): Policy-level actors in the fishing sector. This includes government and non-governmental personnel working in fisheries, environment, or gender and development themes that impact fishing communities.

Kind of data

Sample survey data [ssd]

Sampling procedure

Individual/household level: - Sample size: 300 individuals per country - Selection process: Surveys were conducted as intercept surveys at fish landing sites, markets and within fishing communities. - Stratification: By district and landing site. The target number of surveys per country (300) was divided by the number of landing sites chosen for the study.

Focus groups: - Non-random sample of women chosen opportunistically (based on availability) to participate in a small group, focus group discussions. Typically 2 focus group discussions were held in each district or region where data collection occurred for the larger, baseline assessment of the project.

Individuals (with policy-level influence in the small-scale fishing sector): - Survey sampling for key informant interviews was purposive, selecting individuals who were known to be knowledgeable about relevant policy issues impacting fishing communities that were of interest to the project (e.g., nutrition, gender issues, leadership, decision-making). These individuals were identified based on the expert knowledge of the National Project Coordinator with input from the government and influential local leaders. Approximately 10 key informants were surveyed per country, with 1-3 individuals interviewed per district/region.

Mode of data collection

Face-to-face [f2f], Focus Group [foc]

Research instrument

Individual/Household level: - Questionnaire used: Empowering Women in Small Scale Fisheries for Sustainable Food Systems Individual Questionnaire. - Language: English.

Focus Groups level: - Questionnaire used: Empowering Women in Small Scale Fisheries for Sustainable Food Systems Focus Groups Discussions Questionnaire. - Language: English.

Key Informants Interview: - Questionnaire used: Baseline KII survey - Language: English

Cleaning operations

Individual/household level: - Data editing took place at two stages: 1. Enumerators visually checked surveys entered before finalizing the survey entry. 2. The consultant analyzing the data for internal reports made visual checks of the data and needed corrections