Publication
MIR-HBM: The Minimum Information Requirements Guidance for Human Biomonitoring Studies
| Summary: | Background To fully understand the context, methods, data, and interpretations of a human biomonitoring (HBM) study, access to comprehensive background information is essential. However, the diversity in HBM study designs, coupled with varying levels of detail in the data collected, often makes meaningful comparisons, data reuse, and interpretation across different studies challanging. Materials and methods To address this need, the Minimum Information Requirements for Human Biomonitoring (MIR-HBM) was developed by the European Chapter of the International Society of Exposure Science (ISES Europe) HBM working group and the HBM Global Network. MIR-HBM describes the minimal set of information that must be provided to enable effective communication of the setup of an HBM study to others. It enables the generation of the metadata ('data about the data') that will cover all components of the study, including rationale and objectives, study population characteristics, biological specimen collection, laboratory analysis and method parameters, data analysis plan, data interpretation, and communication and reporting. Results Adherence to these reporting guidelines will result in publications of increased clarity,quality, comparability, and usefulness to the scientific community and other stakeholders. Integrating MIR-HBM as a FAIR metadata schema into the FAIREHR (Findable, Accessible, Interoperable, and Reusable Environmental and Health Registry) platform is the next key step planned to enable its implementation and adoption. Conclusions Overall, the MIR-HBM on HBM study metadata promotes transparency and completeness in reporting and enhances rapid capturing of the contents of the HBM study, thereby stimulating findability and accessibility to HBM data and supporting effective quality assessment. |
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| Main Authors: | Hopf, Nancy B. |
| Subject: | Human Biomonitoring Minimum Information Requirements MIR-HBM HBM Genotoxicidade Ambiental |
| Year: | 2025 |
| Country: | Portugal |
| Document type: | conference output |
| Access type: | restricted access |
| Associated institution: | Instituto Nacional de Saúde Doutor Ricardo Jorge |
| Language: | English |
| Origin: | Repositório Científico do Instituto Nacional de Saúde |
| Summary: | Background To fully understand the context, methods, data, and interpretations of a human biomonitoring (HBM) study, access to comprehensive background information is essential. However, the diversity in HBM study designs, coupled with varying levels of detail in the data collected, often makes meaningful comparisons, data reuse, and interpretation across different studies challanging. Materials and methods To address this need, the Minimum Information Requirements for Human Biomonitoring (MIR-HBM) was developed by the European Chapter of the International Society of Exposure Science (ISES Europe) HBM working group and the HBM Global Network. MIR-HBM describes the minimal set of information that must be provided to enable effective communication of the setup of an HBM study to others. It enables the generation of the metadata ('data about the data') that will cover all components of the study, including rationale and objectives, study population characteristics, biological specimen collection, laboratory analysis and method parameters, data analysis plan, data interpretation, and communication and reporting. Results Adherence to these reporting guidelines will result in publications of increased clarity,quality, comparability, and usefulness to the scientific community and other stakeholders. Integrating MIR-HBM as a FAIR metadata schema into the FAIREHR (Findable, Accessible, Interoperable, and Reusable Environmental and Health Registry) platform is the next key step planned to enable its implementation and adoption. Conclusions Overall, the MIR-HBM on HBM study metadata promotes transparency and completeness in reporting and enhances rapid capturing of the contents of the HBM study, thereby stimulating findability and accessibility to HBM data and supporting effective quality assessment. |
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