Evidence map›Paper›PMID 37056070›Full record

ArticleThe Indian journal of medical research2022

National guidelines for data quality in surveys: An overview.

M Vishnu Vardhana Rao, Damodar Sahu, Saritha Nair, Ravendra Kumar Sharma, Bal Kishan Gulati, Rajib Acharya, Bidhubhusan Mahapatra, Sowmya Ramesh, Nizamuddin Khan, Trisha Chaudhuri and 4 more

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

M Vishnu Vardhana RaoICMR-National Institute of Medical Statistics, New Delhi, India.
Damodar SahuICMR-National Institute of Medical Statistics, New Delhi, India.
Saritha NairICMR-National Institute of Medical Statistics, New Delhi, India.
Ravendra Kumar SharmaICMR-National Institute of Medical Statistics, New Delhi, India.
Bal Kishan GulatiICMR-National Institute of Medical Statistics, New Delhi, India.
Rajib AcharyaPopulation Council India, India Habitat Centre, New Delhi, India.
Bidhubhusan MahapatraPopulation Council India, India Habitat Centre, New Delhi, India.
Sowmya RameshPopulation Council India, India Habitat Centre, New Delhi, India.
Nizamuddin KhanPopulation Council India, India Habitat Centre, New Delhi, India.
Trisha ChaudhuriPopulation Council India, India Habitat Centre, New Delhi, India.
Kanika SandalICMR-National Institute of Medical Statistics, New Delhi, India.
Vijit DeepaniICMR-National Institute of Medical Statistics, New Delhi, India.
Sangeeta DeyICMR-National Institute of Medical Statistics, New Delhi, India.
Niranjan SaggurtiPopulation Council India, India Habitat Centre, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Good quality health, nutrition and demographic survey data are vital for evidence-based decision-making. Existing literature indicates system specific, data collection and reporting gaps that affect quality of health, nutrition and demographic survey data, thereby affecting its usability and relevance. To mitigate these, the National Data Quality Forum (NDQF), under the Indian Council of Medical Research (ICMR) - National Institute of Medical Statistics (NIMS) developed the National Guidelines for Data Quality in Surveys delineating assurance mechanisms to generate standard quality data in surveys. The present article highlights the principles from the guidelines for informing survey researchers/organizations in generating good quality survey data. It describes the process of development of the national guidelines, principles for each of the survey phases listed in the document and applicability of them to data user for ensuring data quality. The guidelines may be useful to a broad-spectrum of audience such as data producers from government and non-government organizations, policy makers, research institutions, as well as individual researchers, thereby playing a vital role in improving quality of health, nutrition and demographic data ecosystem.

Indexed as

Data AccuracyEcosystemHumansNutritional StatusSurveys and QuestionnairesData qualityhealth surveyquality assurance

Identifiers

PMID37056070
PMCPMC10278914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.