sources

This table contains all the sources for our datasets. The description column contains JSON encoded as text that contains useful additional fields like a longer descriptive text "additionalInfo".

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1 row where datasetId = 2632 sorted by id descending

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id ▲ name description createdAt updatedAt datasetId additionalInfo link dataPublishedBy
14853 OECD - Education and Training - Educational attainment and labour-force status 
{
    "link": "https://stats.oecd.org/Index.aspx?DataSetCode=EAG_NEAC",
    "retrievedDate": "16-March-18",
    "additionalInfo": "Abstract\nThis indicator presents internationally comparable data regarding the labour force status and the educational attainment level by the National Educational Attainment Categories (NEAC) as reported by the labour force survey (LFS) and published in OECD Education at a Glance 2017. For trend data, the Education at a Glance Database includes data from 1981 to 2016 (or years with available data).\nData source(s) used\nEducation at a Glance 2017. National data sources and technical notes are available in Annex 3 of\nEducation_at_a_Glance\nhttp://www.oecd.org/education/education-at-a-glance-19991487.htm\nUnit of measure used\nPercentage\nPeriodicity\nYearly\nDate last updated\n12-09-2017\nContact person\nMarkus SCHWABESimon NORMANDEAU\nOther data characteristics\nCalendar year\nClassification(s) used\nIndicators are computed on various levels of education. In most countries data refer to ISCED 2011. For Indonesia, Saudi Arabia and South Africa data refer to ISCED-97. See the description of the levels of education in the Definitions section. In the trend data tables, in most countries there is a break in the time series, represented by the code \"b\", as data for 2015 and 2016 refer to ISCED 2011 while data for previous years refer to ISCED-97. For China, Indonesia and Saudi Arabia data refer to ISCED-97 for all years. See Definitions and Methodology sections for more information.\nRecommended uses and limitations\nStandard errors taking into account the complex sample design may be higher. The extent of the estimation error of the standard error can be assessed by comparing the standard errors released for selected indictors in EAG 2016 (EAG 2017 - Annex 3), that take into account complex survey design, with the respective standard errors released in EAG 2017 computed under the simple random sample assumption\nOther comments\nWant to know how your country compares with others in education opportunities and outcomes?Search our country profiles and customise your comparisons with the countries of your choice.\nCountry_profile\nhttp://gpseducation.oecd.org/CountryProfile\n",
    "dataPublishedBy": "OECD.Stat",
    "dataPublisherSource": null
}
 2018-03-16 17:18:38 2018-03-16 17:18:41 Education and Training - Educational attainment and labour-force status 2632 Abstract This indicator presents internationally comparable data regarding the labour force status and the educational attainment level by the National Educational Attainment Categories (NEAC) as reported by the labour force survey (LFS) and published in OECD Education at a Glance 2017. For trend data, the Education at a Glance Database includes data from 1981 to 2016 (or years with available data). Data source(s) used Education at a Glance 2017. National data sources and technical notes are available in Annex 3 of Education_at_a_Glance http://www.oecd.org/education/education-at-a-glance-19991487.htm Unit of measure used Percentage Periodicity Yearly Date last updated 12-09-2017 Contact person Markus SCHWABESimon NORMANDEAU Other data characteristics Calendar year Classification(s) used Indicators are computed on various levels of education. In most countries data refer to ISCED 2011. For Indonesia, Saudi Arabia and South Africa data refer to ISCED-97. See the description of the levels of education in the Definitions section. In the trend data tables, in most countries there is a break in the time series, represented by the code "b", as data for 2015 and 2016 refer to ISCED 2011 while data for previous years refer to ISCED-97. For China, Indonesia and Saudi Arabia data refer to ISCED-97 for all years. See Definitions and Methodology sections for more information. Recommended uses and limitations Standard errors taking into account the complex sample design may be higher. The extent of the estimation error of the standard error can be assessed by comparing the standard errors released for selected indictors in EAG 2016 (EAG 2017 - Annex 3), that take into account complex survey design, with the respective standard errors released in EAG 2017 computed under the simple random sample assumption Other comments Want to know how your country compares with others in education opportunities and outcomes?Search our country profiles and customise your comparisons with the countries of your choice. Country_profile http://gps… https://stats.oecd.org/Index.aspx?DataSetCode=EAG_NEAC OECD.Stat

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CREATE TABLE "sources" (
	"id" INTEGER PRIMARY KEY AUTOINCREMENT,
	"name" VARCHAR(512) NULL  ,
	"description" TEXT NOT NULL  ,
	"createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP ,
	"updatedAt" DATETIME NULL  ,
	"datasetId" INTEGER NULL, additionalInfo TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.additionalInfo')) VIRTUAL, link TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.link')) VIRTUAL, dataPublishedBy TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.dataPublishedBy')) VIRTUAL,
	FOREIGN KEY("datasetId") REFERENCES "datasets" ("id") ON UPDATE RESTRICT ON DELETE RESTRICT
);
CREATE INDEX "sources_datasetId" ON "sources" ("datasetId");