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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.

...

Country DTMs are not well-standardised, though IOM in Geneva is starting an initiative to define a common core set of columns. Some countries use databases to manage their DTMs, while others are entirely spreadsheet based. Note that as of 2016-09-23, most of the DTMs on HDX are operationally out-of-date (shared once but not updated regularly).


HDX dataset

Date

Notes

DTM Cameroon Round III

2016-04-30


IOM DTM South Sudan Dataset

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.

Nepal - IOM DTM Earthquake Dataset

2015-11-25


IOM DTM Mozambique Dataset Round 1

2015-04-30


Libya - IOM DTM Dataset Round 1

2016-01-10


IRAQ - IOM DTM Datasets

2016-01-20

Multiple rounds.

Haiti - IOM DTM Datasets

2015-12-30

Multiple rounds.

Nigeria - IOM DTM datasets

2016-01-28

Multiple rounds.

Cameroon - IOM DTM Datasets

2015-11-30


Libya - IOM DTM Round 2

2016-03-01


IOM DTM Nepal Dataset Round 5

2015-11-03


IOM DTM Iraq Dataset Round 33

2015-11-30


Iraq - Displacement Tracking Matrix (DTM) 14 Sept 2014

2014-09-14

Shared by OCHA Iraq.

Iraq - Affected Persons Locations (DTM) 7 August 2014

2014-08-07

Shared by OCHA Iraq.

Iraq - Affected Persons Locations(DTM) 24 August 2014

2014-08-24

Shared by OCHA Iraq.

IDPs Data by Location in Iraq

2014-09-01

Shared by HDX team. Multiple rounds.

Iraq - Affected Persons Locations(25 November 2014)

2014-11-25

Shared by OCHA Iraq.

Iraq - Affected Persons Locations(Jun to July 2014)

2014-07-02

Shared by OCHA Iraq.

Malawi - Displacement Tracking Matrix

2015-05-20

Shared by OCHA ROSA.

Malawi - Displacement Tracking Matrix

2015-03-06

Shared by OCHA ROSA.

Malawi - IDP Site

2015-03-06

Shared by OCHA ROSA.

IDPs Data by region in Mali

2015-05-31

Shared by OCHA Mali.


...

  1. Site assessment
  2. Baseline assessment
  3. Flow monitoring
  4. Survey

A second analysis was performed on a selection of datasets labelled as site assessment:

IOM DTM Ecuador - Site Assessment Data - Spontaneous Sites


File: Site_Assessments_Refugios_R4.xlsx

This appears to be at a survey level. There are 3 sheets with the sheet "uploaded_form_izr7j1" containing the data.

IOM DTM Somalia - Site Assessment Data


File: IOM_SOM_DTM_Master_Data_Site_Assessments_Final_Rou...XLS
 


Nigeria - IOM DTM Dataset (June 2016) - Site assessment data

File: rd10_DTM_Master_List_Jun2016.xlsx

This is at an aggregated level and has just one sheet "Sheet1" with a single line header:


LGAWARDSTATUSLATITUDELONGITUDESITE MANAGEMENT AGENCY (SMA)SMA TYPEREGISTRATION ACTIVITYSUPPORT WASHSUPPORT HEALTHSUPPORT SHELTER/NFISUPPORT FOODSUPPORT PROTECTIONSUPPORT EDUCATIONSUPPORT LIVELIHOODSITE CLASSIFICATIONSITE TYPELAND OWNERSHIPCOMMON SHELTER TYPENO OF HOUSEHOLDSINFANTS MALEINFANTS FEMALECHILDREN MALECHILDREN FEMALEYOUTH MALEYOUTH FEMALEADULT MALEADULT FEMALEELDERLY MALEELDERLY FEMALETOTAL NUMBER OF IDPSPREVIOUSLY BEEN DISPLACEDINTENDED RETURN AREAWHY NOT RETURNNO SHELTERTENTSMAKESHIFTINDOORSACCESS ELECTRICITYACCESS SAFE COOKINGHAVE PRIVATE AREASHAVE MOSQUITO NETSMOST NEEDED NFIWATER SOURCE LOCATIONDRINKING WATER SOURCEWATER CONSUMPTIONDRINKING WATER POTABLEDRINKING WATER QUALITY COMPLAINTSLATRINE CONDITIONFUNCTIONING TOILETGARBAGE DISPOSALSOLID WASTE PROBLEMHAND WASHING STATIONSHYGIENE PROMOTION CAMPAIGNOPEN DEFECATIONACCESS TO FOODACCESS TO MARKETDISTRIBUTION FREQUENCYOBTAINING FOODMALNUTRITION SCREENINGMOST PREVALENT HEALTH PROBLEMACCESS TO MEDICINEACCESS TO HEALTH FACILITYLOCATION HEALTH FACILITYHEALTH FACILITIES PROVIDERACCESS TO EDUCATIONEDUCATION LOCATIONATTENDING SCHOOLMAJORITY OCCUPATIONACCESS TO INCOMELIVESTOCKCULTIVATION



Haiti - IOM DTM Dataset (June 2016) - Site assessment data

File: rd25_DTM_Master_List_Mar2016.xlsx


Conclusion

Given the lack of any consistency between the DTM Master List spreadsheets, writing a one size fits all automated data checker and 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.

Appendix: IOM Global DTM information

The following files contain a data dictionary and partial sample for the in-progress global DTM, as supplied by IOM in Geneva.

View file
nameDTM_Data_Code_Mar_Oct_15_Cleaned_for-HDX.xlsx
height250
View file
nameIndicators for HXL.xlsx
height250

This Google Sheet contains proposed HXL hashtags for the global DTM: https://docs.google.com/spreadsheets/d/1gifTnrz9A2fZ8Tuwg-EClsFvu4QEbC4OUtdgb61dXGs/edit?usp=sharing