The International Organization for Migration (IOM) is the leading inter-governmental organization in the field of migration and works closely with governmental, intergovernmental and non-governmental partners. It is dedicated to promoting humane and orderly migration for the benefit of all and works to help ensure the orderly and humane management of migration, to promote international cooperation on migration issues, to assist in the search for practical solutions to migration problems and to provide humanitarian assistance to migrants in need, including refugees and internally displaced people.
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(Unless otherwise noted, all datasets are shared by IOM and consist of a single DTM round.)
HDX dataset | Date | Notes |
---|---|---|
2016-04-30 | ||
2015-10-31 | Raw DTM (with some sensitive fields removed). Much-more granular than the other examples, with 175 columns, and structured as a survey. This lets us see what the DTM originally looks like, before it’s digested into the high-level reports that are more typically shared publicly. Includes ADM1, ADM2, “Payam”, and “Village”, as well as site id and lat/lon. Lists number of IDPs and households. | |
2015-11-25 | ||
2015-04-30 | ||
2016-01-10 | ||
2016-01-20 | Multiple rounds. | |
2015-12-30 | Multiple rounds. | |
2016-01-28 | Multiple rounds. | |
2015-11-30 | ||
2016-03-01 | ||
2015-11-03 | ||
2015-11-30 | ||
2014-09-14 | Shared by OCHA Iraq. | |
2014-08-07 | Shared by OCHA Iraq. | |
2014-08-24 | Shared by OCHA Iraq. | |
2014-09-01 | Shared by HDX team. Multiple rounds. | |
2014-11-25 | Shared by OCHA Iraq. | |
2014-07-02 | Shared by OCHA Iraq. | |
2015-05-20 | Shared by OCHA ROSA. | |
2015-03-06 | Shared by OCHA ROSA. | |
2015-03-06 | Shared by OCHA ROSA. | |
2015-05-31 | Shared by OCHA Mali. |
...
AreaAssessmentID | AssessmentRound | Governorate | GovernoratePCode | DistrictEN | DistrictPCode | RetIDPsFromDistrict_HH | OfficialPlaceEN | PCode | Returnee_ConflictHH | Returnee_DisasterHH | Returnee_Accessibility | Returnee_WomenPer | Returnee_MenPer | Returnee_FemChildPer | Returnee_MaleChildPer | Latitude | Longitude |
Conclusion
Given the lack of any consistency between the DTM Master List spreadsheets, writing a one size fits all automated cleaner for all of them is challenging. It would involve placing a great deal of "intelligence" into the cleaning program with the possibility that errors are introduced during cleaning for example, by accidentally matching the wrong column heading when making an algorithm to match a very diverse range of names. It may be possible to write cleaners per country but the effort involved would be large.
A better approach is to try to encourage the different offices to use a similar template for their spreadsheets, as from this starting point, writing a cleaner would not be too onerous. If such a template were introduced, it could be HXLated from day one. How easy it would be to invent a template that covers the range of needs is debatable but it is likely to be much easier than trying to process greatly varying spreadsheet formats.