| Both sides previous revision Previous revision Next revision | Previous revision |
| methodology [2022/04/22] – Felix Hruschka | methodology [2022/11/11] (current) – Felix Hruschka |
|---|
| ====== Methodology of Data Collection and Data Processing ====== | ====== Methodology of Data Collection and Data Processing ====== |
| | |
| | ===== Data Collection ===== |
| |
| This data collection attempts to compile ASM population data (number of ASM miners) on a global scale, from published and unpublished sources believed to be reliable.\\ | This data collection attempts to compile ASM population data (number of ASM miners) on a global scale, from published and unpublished sources believed to be reliable.\\ |
| * Data might have different commodity scopes, in some cases only counting miners extracting typical ASM export commodities such as gold, gemstone and 3T (and sometimes only one or two of these categories) and in other cases also including "development minerals" for local use. | * Data might have different commodity scopes, in some cases only counting miners extracting typical ASM export commodities such as gold, gemstone and 3T (and sometimes only one or two of these categories) and in other cases also including "development minerals" for local use. |
| * Data are based on a widely varying understanding of the term "miner". In the most narrow case just the mine owners (e.g. members of a cooperative but not their workers), frequently only those persons extracting mineral inside the mine (omitting processing plants or other activities), and in the widest case all persons involved in the various activities related to ASM mineral production. | * Data are based on a widely varying understanding of the term "miner". In the most narrow case just the mine owners (e.g. members of a cooperative but not their workers), frequently only those persons extracting mineral inside the mine (omitting processing plants or other activities), and in the widest case all persons involved in the various activities related to ASM mineral production. |
| | * Data may or may not include seasonal or part-time miners. |
| * Data may be biased according to the purpose of counting ASM miners or according to the type of organisation that counts the miners (government, private sector, civil society) | * Data may be biased according to the purpose of counting ASM miners or according to the type of organisation that counts the miners (government, private sector, civil society) |
| * Data vary according to inclusion or exclusion of the informal sector. | * Data vary according to inclusion or exclusion of the informal sector. |
| In consequence, **global ASM data are always inherently inconsistent!** \\ | In consequence, **global ASM data are always inherently inconsistent!** \\ |
| |
| Data processing therefore cannot rely solely on a defined procedural “algorithm”. Each country needs to be assessed individually, taking into account the above issues to understand the published numbers, and attempting to triangulate the data with socio-economic, demographic, geologic and other aspects to reach plausible estimates. **Data triangulation and plausibility checks** were therfore carried out for each county. The rationale of the estimation, based on the author's 30 years of professional experience in the ASM sector in Latin America, Africa and Asia, is described in each country's data sheet. In several cases, the results of these considerations need to be taken as "//informed best guess//" or "//working hypothesis//". In any case it is believed that a **full data set partly based on working hypotheses** provides more value to strategic discussions than partial data with un-identified gaps. \\ | ==== Data Processing ==== |
| | |
| | Data processing therefore finds its limitations if it relies on a strictly procedural methodology. It is more art than science. This led to the choice of a mixed database platform, combining descriptive Wiki pages with quantitative SQL data tables. Each country needs to be assessed individually, taking into account the above issues to understand the published numbers, and attempting to triangulate the data with socio-economic, demographic, geologic and other aspects to reach plausible estimates. **Data triangulation and plausibility checks** were therfore carried out for each county. The rationale of the estimation, based on the author's 30 years of professional experience in the ASM sector in Latin America, Africa and Asia, is described in each country's data sheet. In several cases, the results of these considerations need to be taken as "//informed best guess//" or "//working hypothesis//". In any case it is believed that a **full data set partly based on working hypotheses** provides more value to strategic discussions than partial data with un-identified gaps. \\ |
| | \\ |
| | Pending immediate next steps (comming soon) are: |
| | * Provide descriptive rationales for countries with existing but not quantified ASM |
| | * Add a database field to mark quantitative data as reported (r) or estimated (e) ... in progress (field created, populating with data) |
| \\ | \\ |
| To improve data consistency, more work is needed, foremost comprehensive field-based baseline assessments, but also benchmarking ASM country data with contemporary ASM definitions, disaggregating data by gender, and aligning criteria for counting ASM miners. | To improve data consistency, more work is needed, foremost comprehensive field-based baseline assessments generating more primary data, but also analysis of secondary data benchmarking ASM country data with contemporary generally accepted ASM definitions, disaggregating data by gender, and aligning criteria for counting ASM miners. |
| \\ | \\ |
| | ==== Change Log ==== |
| | 2018: Version 1 published. (Static visualization of an Excel dataset)\\ |
| | 2022-04: Version 2 (database-driven) launched.\\ |
| | 2022-10: National statistical data (initially WorldBank 2018 was used) replaced by 2020 data, i.e. the most recent quite complete datasets for population and GNI\\ |
| \\ | \\ |
| ---- | ---- |