NDQFNDQFMany around the globe live and die without any official proof of existence. Under the theme of “Count Everyone”, the findings from detailed community-based and health facility-based assessments of birth and death registration in the states of Bihar and Uttar Pradesh will be presented. The presentation will explore the reasons and implications of the age, gender and social inequity in the birth and death counting in the Civil Registration System. The bottlenecks at the health facility level to be addressed to increase the coverage of birth and death notification and registration will be discussed.
The National Data Quality Forum is pleased to host a WEBINAR titled “Count EVERYONE“.
Date: 01.09.2022
Time: 04:00PM- 05:00PM | IST
Speaker: Dr. Rakhi Dandona, Professor at the Public Health Foundation of India and Professor of Health Metrics Sciences at the Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
Discussant: Shri. Jayant Kumar Banthia, Registrar General and Census Commissioner of India (1999-2004) and former Chief Secretary of Government of Maharashtra (2012-2013), Mumbai
Moderator: Dr. Rajib Acharya, Senior Associate, Population Council
Moderator: Dr. M Vishnu Vardhana Rao, Director, ICMR-National Institute of Medical Statistics, New Delhi
Clinical Data management is a key step in clinical research, leading to generation of high quality, reliable and statistically sound data, which further helps in patient management and policy making. It involves a series of steps ranging from proper collection of data to management of research data as per regulatory standards that is complete and error free giving the reader confidence in conclusion of the research. Though large and big data sets are lucrative, unplanned management of such data can result in incorrect conclusions. Avoiding such situation is possible if one is aware of the common mistakes in advance and puts in place a contingency plan for good quality and proper data management upfront in clinical research.
The National Data Quality Forum hosted a webinar titled “Quality Control and Electronic Data Management of TB Trial Data”. We aimed to see what and how can such mistakes be avoided when we plan for a large scale multi-centric robust clinical research.
Date: 14th July, 2022
Time: 3:00-4:00 P.M
Speaker: Dr. Padmapriyadarsini C, Director, ICMR-National Institute for Research in Tuberculosis (NIRT), Chennai
Discussant: Prof. (Dr.) Ravindra Kumar Dewan, Director, National Institute of TB and Respiratory Diseases (NITRD), New Delhi
Moderator: Dr. M Vishnu Vardhana Rao, Director, ICMR-National Institute of Medical Statistics, New Delhi
Mortality statistics by age, sex and cause of death are primary inputs for population health assessment, policy analysis, and epidemiological research. Although the Civil Registration System (CRS) is the optimal source for mortality statistics in India, limitations in its functional status have restricted its direct use for mortality measurement till date.
The National Data Quality Forum is pleased to host a webinar titled ‘Availability and quality of mortality statistics in India: Current appraisal and Future Prospects’ to examine the operational characteristics of the CRS in terms of design, data availability and quality, and present findings that demonstrate improvement in the performance in recent times. The aim is to discuss the way forward to enable the CRS to fulfil its goal as a reliable data source, emphasizing the need for decentralized data quality assessment and implementation of targeted system strengthening interventions.
Date: Thursday, 7th April 2022
Time: 03:00 PM – 04:00 PM
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For nearly three decades, National Family Health Surveys (NFHS) have been playing a pivotal role in guiding data-driven policy formulation and program decision making in India. Given the increasing scale and scope with each NFHS round, collection and management of good quality data can be challenging. The COVID-19 pandemic during the last phase of data collection for NFHS-5 had further exacerbated the challenges to survey administration and maintaining quality. Amid these challenges, the nodal agency for NFHS, International Institute for Population Sciences (IIPS), Mumbai, has taken steps and implemented several innovations (both analytical and field based) to preserve the quality of data.
The National Data Quality Forum, is honoured to host IIPS for a webinar titled Balancing Scope, Scale and Data Quality: Learnings from National Family Health Surveys (NFHS) which aims to discuss how NFHS has managed to address the data quality challenges caused by the pandemic.
Date: Thursday, 10 February 2022
Time: 05:00 pm – 06:30 pm
Decision making, and planning at all levels are dependent upon the quality of data. Numerous Data Quality frameworks have been proposed and each of these frameworks emphasizes that data quality is multidimensional and none of these frameworks set the framework for operationalizing data quality metrics.
Decision making, and planning at all levels are dependent upon the quality of data. Numerous Data Quality frameworks have been proposed and each of these frameworks emphasizes that data quality is multidimensional and none of these frameworks set the framework for operationalizing data quality metrics.
Decision making, and planning at all levels are dependent upon the quality of data. Numerous Data Quality frameworks have been proposed and each of these frameworks emphasizes that data quality is multidimensional and none of these frameworks set the framework for operationalizing data quality metrics.
Date: Thursday, 18 November 2021
Time: 05:00 PM – 06:00 PM
India is a data-rich country. Every year various public and private agencies collect data on multiple dimensions for policy and program planning.
Therefore, high-quality data is of prime importance for functional and responsive health systems. Although, data quality improvement efforts are being undertaken by data producers, there is a need to establish systematic quality assurance procedures with effective and efficient strategies to minimize errors in data collection and achieve timely collection of high-quality data.
Under the initiative of National Data Quality Forum (NDQF), ICMR-National Institute of Medical Statistics (ICMR-NIMS), released the guidelines National Guidelines for Data Quality in Surveys on 28th July, 2021
The guidelines aim to provide comprehensive guiding principles and best practices for mitigating errors and biases that occur during survey design, data collection and post-survey profiling and thereby ensure survey data quality with specific reference to demographic, health and nutrition surveys.
The NDQF is organizing a webinar titled National Guidelines for Data Quality in Surveys – Way ahead. The webinar aims to introduce and share the key features of the guidelines. We are sure that the scientific community, and all the stakeholders involved in generating and using data will be benefitted from these guidelines.
Date: Thursday, 7 October 2021
Time: 05:00 PM – 05:45 PM
The Health Management Information System (HMIS) under the National Health Mission, Ministry of Health & Family Welfare (MoHFW), Government of India, is one of the world’s largest sources of administrative programme data on over 500+ indicators related to reproductive, maternal, new-born, children & adolescent health, nutrition, immunization and other programmes/schemes under NHM. Since its launch in October 2008, the HMIS has been a key source of information to monitor the performance of programs from facility level to the sub-district, district, state and national levels.
The National Data Quality Forum, is honoured to collaborate with the Statistics Division of MoHFW, Government of India to organize a webinar titled HMIS: Road to stronger health data ecosystem in India. The webinar aims to discuss new features and technological advances introduced in HMIS that focus on monitoring & evaluation of National Health Mission and help evidence-based decision making.
Date: Thursday, 26 August, 2021
Time: 5:00- 6:30 pm
The Indian population census conducted by the Ministry of Home Affairs, Government of India is the world’s second largest population enumeration exercise. In a country as diverse and large as India, ensuring the quality of data in such a mammoth exercise can be of great challenge. Since its inception in 1872, every decade, several new measures have been taken to improve the quality of data collected. Guided by the six dimensions that contribute to the quality of data – relevance, accuracy, timeliness, accessibility, interpretability, and consistency/coherence – the current census (Census 2021) is implementing several exciting new measures to achieve quality, particularly through application of cutting edge technologies. These measures are designed and built into every census process and operational plans.
The National Data Quality Forum, is honoured to collaborate with the Office of the Registrar General & Census Commissioner, India (ORGI) to organize a webinar titled “Innovations for improvements in data quality in Census 2021” which aims to provide a first-hand account of new measures taken by the ORGI to improve data quality in Census 2021.
Date: Thursday, 22 July, 2021
Time: 4:00- 5:00 pm
One stillbirth occurs every 16 seconds, which means that worldwide about 2 million babies are stillborn every year. However, stillbirths are largely absent in worldwide data tracking, rendering the true extent of the problem hidden. The invisibility of stillbirths is not only apparent in data and statistics but also at the community level with stillbirths often regarded as inevitable events. India has one of the largest numbers of stillborn babies globally. Gaps in availability and quality of data have posed challenges to understanding the true burden of stillbirths and to facilitate action to save these children’s lives.
Date: December 2020
Dietary intake data is needed to assess consumption of foods, beverages, and nutrients by the people and help understand the dietary adequacies and shortcomings, monitor trends and assess the potential impact of diet on overall health. The 24-hour dietary recall is often used in large-scale cross-sectional surveys as it provides comprehensive and quantitative information on an individual’s diet according to different socioeconomic and demographic groups. It captures the type and quantity of all foods and beverages consumed during 24-hours period before the survey. However, individual food consumption pattern is very intricate and hence accurately recalling the quantity consumed can be challenging for the respondents. Further, diet data quality might vary according to the data collection instrument. Several innovative approaches have been tested to enhance the quality of dietary intake data. Join us to learn more about the challenges in measuring 24-hour dietary recall, and innovations in the field to improve the quality of such data in India.
Date: November, 2020
Promoting the use of data for strengthening health decision-making, including planning, problem-solving and accountability, is the desideratum of current times. Availability, accessibility and quality of optimum data up to the sub-district level is vital for effective programming as well as decision-making. Moving beyond the regular HMIS system, the Government of Uttar Pradesh has developed an integrated health data system to enhance data availability and quality, and further its usage to provide local-level solutions. This effort has also provided an opportunity to the Government to bring multiple data sources under a single umbrella and thereby enabling comprehensive triangulation of input, process and output indicators to take strategic decisions for improving health outcomes. Join us to savour the journey of this system and learn how it has helped improve both quality and usage of HMIS data.
Date: November, 2020
Contribution of high-quality data on vital events in evidence-based planning is well recognized and documented. Such data help generate evidence that can be used for most cost-effective actions by the governments even in small geographies. The best source for data on births, deaths and causes of death is the civil registration system (CRS), which if complete, can provide important information for actions. In India, coverage of deaths under CRS is known to be less complete than desired. In fact, millions of people are born and die every year in India without any trace of legal identity. Join us for a livewire dialogue on the issues of quality of death registration and causes of death data in India.
Date: September, 2020
A strategy to assure data quality in surveys is critical in improving the quality of data. This is particularly important for sensitive data, such as, family planning adoption, use and continuation. Quality family planning data are needed to accurately track progress on several critical international commitments including Sustainable Development Goals and FP 2020. Appropriate survey design, tested measures, innovative questionnaire designs, modern approaches to training of data collectors and technology-based monitoring mechanisms are some of the components of ensuring quality. Two well-known family planning data practitioners will talk about promising strategies to enhance quality of family planning data in surveys.
The Art and Science behind a good Data Strategy! Data is the talk of the day! Whether for its impact on the privacy or as a fuel for an ever-increasing expanse of machine learning algorithms. However, when it comes to large scale social solutions, good quality data has a more grounded role to play. It has the potential to make or break the effectiveness and efficiency of the desired social impact. In this session, we will see the importance of data through the journey of a large-scale health and malnutrition solution. We will explore the critical data-centric issues, including quality, faced right from the concept stage and share the strategy followed to address them.
Date: July, 2020
There have been an extraordinary number of phone-based surveys in India and elsewhere, and there will be many more in the near future. In this time of a fast-spreading epidemic, the country needs a lot of data from the ground to take appropriate policy decisions and these phone surveys intend to provide relevant and good-quality data to the government. However, there is a growing concern that because of the pressure to produce quick results, both the science and the ethics of research are possibly being compromised. This session, where experts will discuss both the science and the ethics of phone-based surveys, will provide valuable insights on how one can ensure both.
Date: July, 2020
In the wake of restrictions on movement to contain COVID-19 and the need for rapid evidence to inform the policy response, research organizations have had to largely suspend in-person field activities and adapt data collection to the special constraints imposed by the pandemic. This has resulted in a panoply of phone surveys in the past three months, varying widely in scope and scale. This session is focused on the data quality aspects of phone surveys, where research organizations who have been at the forefront of using phone surveys to collect data during COVID-19 will share incisive insights on assuring quality in an engaging panel discussion. Further, select organisations will draw on their experience of conducting phone surveys during the pandemic and distil a few salient learnings with implications for data quality.
Date: May, 2020
This webinar is focused on methods and tools for assuring data quality in measuring nutrition status, which is one of the salient themes for NDQF. The session, brought to you by UNICEF, will shine a spotlight on new developments in anthropometry and share insights for improving data quality, drawing on the Comprehensive National Nutrition Survey (CNNS) experience. We’ll also offer a historical context for the use of standardization methods for anthropometry in demographic surveys and how data quality was impacted as survey questionnaires became longer and trainings became shorter.
Date: May, 2020
The first webinar is centred on systems and innovations for improving data quality in field surveys and brought to you by the Data on Demand team at IDInsight. In the past three years, they have built numerous systems to ensure the data collected from both field surveys and phone surveys are of the highest quality. They have also worked on innovations to make it easier to execute these systems, including building algorithms to automatically detect data quality issues. In this presentation, they’ll discuss these systems with a view of bringing you the insights you need to deliver the highest quality data.
Date: April, 2020