Open dnfeldman opened 5 years ago
@dnfeldman Below are the suggested SVO labels. Please let me know if you detect anything amiss.
1 date+year:
◦ description: Year
◦ type: numerical.discrete
◦ ontology label: event__observation_year
2 country+residence:
◦ description: Country / territory of asylum/residence
◦ type: categorical.nominal
◦ ontology label: persons~of-concern~departed_region~country-or-territory~asylum-or-residence__name
3 country+origin:
◦ description: Origin
◦ type: categorical.nominal
◦ ontology label: persons~of-concern_region~country~origin__name
4 affected+refugees:
◦ description: Refugees (incl. refugee-like situations)
◦ type: numerical.discrete
◦ ontology label: region~country~origin_region~country-or-territory~asylum-or-residence_persons~refugees-and-persons~refugee-like__count
5 affected+asylum:
◦ description: Asylum-seekers (pending cases)
◦ type: numerical.discrete
◦ ontology label: region~country~origin_region~country-or-territory~asylum-or-residence_persons~asylum-seekers__count
6 affected+returned_refugees:
◦ description: Returned refugees
◦ type: numerical.discrete
◦ ontology label: region~country~origin_region~country-or-territory~asylum-or-residence_persons~refugees~returned__count
7 affected+idps:
◦ description: Internally displaced persons (IDPs)
◦ type: numerical.discrete
◦ ontology label: region~country~origin_persons~internally-displaced__count
8 affected+returned_idps:
◦ description: Returned IDPs
◦ type: numerical.discrete
◦ ontology label: region~country~origin_persons~internally-displaced~returned__count
9 affected+stateless:
◦ description: Stateless persons
◦ type: numerical.discrete
◦ ontology label: region~country~origin_persons~stateless__count
10 affected+others:
◦ description: Others of concern
◦ type: numerical.discrete
◦ ontology label: region~country~origin_persons~others-of-concern__count
11 affected+total:
◦ description: Total Population
◦ type: numerical.discrete
◦ ontology label: region~country~origin_persons~of-concern__count
Thanks!
These look good to me. Quick question, how come for some (e.g. #6), you have ...~country-or-territory~...
but for others (e.g., #10), it's only ~country~
(no -or-territory
)?
Hi Dan, for this particular dataset, the country of origin is always Ethiopia, so we can be specific and say region~country~origin. On the other hand, the destination could be a country or a territory, so this identifier is less specific region~country-or-territory~... if the dataset had contained information about persons from origins that were territories as well, then we would have used region~country-or-territory~origin to denote the origin location. We attempt to always provide the most specific label for a grouping. I hope that makes sense.
On Jun 28, 2019, at 3:09 PM, dnfeldman notifications@github.com wrote:
Thanks!
These look good to me. Quick question, how come for some (e.g. #6), you have ...~country-or-territory~... but for others (e.g., #10), it's only ~country~ (no -or-territory)?
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Dataset Name: UNHCR's populations of concern originating from Ethiopia Dataset Source: https://data.humdata.org/dataset/refugees-originating-eth Sample File URL: http://proxy.hxlstandard.org/data.csv?url=http%3A//popstats.unhcr.org/en/persons_of_concern.hxl&filter01=select&select-query01-01=%23country%2Borigin=Ethiopia
Variables
For variables that need to be linked to SVO, please provide variable's name (as it appears in the data file), its description, and its type (categorical or numerical).