Data Collection for Grant Reporting: Methods, Quality Assurance, and Technology Integration
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global | NEYA Global Publishing
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-grant-data-04
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About the Article
This article examines data collection as the empirical foundation of grant reporting, emphasizing its role in producing credible, comprehensive, and persuasive reports. Both qualitative methods—such as interviews, focus groups, and case studies—and quantitative approaches—including surveys, program records, and financial data—are analyzed for their complementary contributions to assessing impact.
The article stresses the importance of maintaining data quality through staff training, verification mechanisms, and ethical safeguards such as informed consent and confidentiality. It also highlights the growing role of technology, including mobile data collection tools, survey platforms, and open-source solutions, in improving efficiency and accessibility for organizations in low-resource environments. Case studies from education and healthcare demonstrate how combining qualitative insights with quantitative metrics results in holistic assessments that build funder confidence and strengthen organizational sustainability.
Key Topics
- Qualitative methods: interviews, focus groups, case studies
- Quantitative methods: surveys, program records, financial data
- Ensuring accuracy through training, audits, and validation
- Ethical standards: informed consent, confidentiality, avoiding bias
- Digital tools for low-resource settings (KoboToolbox, ODK, Google Forms)
- Case examples from education and healthcare initiatives
Academic Value
The article contributes to scholarly and practitioner discussions by integrating methodological rigor with technological innovation in non-profit reporting. For academics, it connects evaluation theory with applied practices in diverse contexts. For practitioners, it provides actionable strategies to design credible data systems, balance qualitative and quantitative evidence, and harness affordable digital tools for greater accountability and impact.
Suggested Citation
Kazanskaia, A. N. (2025). Data Collection for Grant Reporting: Methods, Quality Assurance, and Technology Integration. NEYA Global Publishing. https://doi.org/10.64357/neya-gjnps-grant-data-04
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