Definition: The Fiscal Data Sets Catalogue is a comprehensive collection of financial data sets from various sources. It includes data on government revenues, expenditures, debts, and assets. This catalogue is a valuable resource for researchers, policymakers, economists, and anyone interested in fiscal analysis or economic forecasting.
Source: Open Knowledge International
Source reference: https://datahub.io/collections/fiscal
Additional information: The Fiscal Data Sets Catalogue is a meticulously curated collection of fiscal data sets from a wide range of sources, including government agencies, international organizations, and research institutions. The catalogue covers a broad spectrum of fiscal data, including but not limited to, budgetary data, expenditure data, revenue data, debt data, and asset data. The data sets are available in various formats, such as CSV, Excel, and JSON, and can be easily downloaded for further analysis. The catalogue is continually updated to ensure the most recent and accurate fiscal data is available for use. It is an invaluable resource for anyone interested in fiscal policy, economic research, or financial analysis.
Example: Examples of application include: 1) Economic researchers can use the data sets to study the impact of fiscal policy on economic growth. 2) Policymakers can use the data to make informed decisions about budget allocations. 3) Financial analysts can use the data to forecast future economic trends. 4) Journalists can use the data to report on fiscal issues. 5) Educators can use the data to teach students about fiscal policy and economics.
LOST view: SV-Datasets Catalogue [Motivation]
Identifier: http://data.europa.eu/dr8/egovera/FiscalDataSetsCatalogueDataObject
EIRA traceability: eira:DataSetCatalogueDataObject
ABB name: egovera:FiscalDataSetsCatalogueDataObject
EIRA concept: eira:ArchitectureBuildingBlock
Last modification: 2023-07-27
dct:identifier: http://data.europa.eu/dr8/egovera/FiscalDataSetsCatalogueDataObject
dct:title: Fiscal Data Sets Catalogue
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eira:PURI | http://data.europa.eu/dr8/egovera/FiscalDataSetsCatalogueDataObject |
eira:ABB | eira:DataSetCatalogueDataObject |
dct:modified | 2023-07-27 |
dct:identifier | http://data.europa.eu/dr8/egovera/FiscalDataSetsCatalogueDataObject |
dct:type | egovera:FiscalDataSetsCatalogueDataObject |
dct:title | Fiscal Data Sets Catalogue |
eira:definitionSource | Open Knowledge International |
eira:definitionSourceReference | https://datahub.io/collections/fiscal |
skos:definition | The Fiscal Data Sets Catalogue is a comprehensive collection of financial data sets from various sources. It includes data on government revenues, expenditures, debts, and assets. This catalogue is a valuable resource for researchers, policymakers, economists, and anyone interested in fiscal analysis or economic forecasting. |
skos:example | Examples of application include: 1) Economic researchers can use the data sets to study the impact of fiscal policy on economic growth. 2) Policymakers can use the data to make informed decisions about budget allocations. 3) Financial analysts can use the data to forecast future economic trends. 4) Journalists can use the data to report on fiscal issues. 5) Educators can use the data to teach students about fiscal policy and economics. |
skos:note | The Fiscal Data Sets Catalogue is a meticulously curated collection of fiscal data sets from a wide range of sources, including government agencies, international organizations, and research institutions. The catalogue covers a broad spectrum of fiscal data, including but not limited to, budgetary data, expenditure data, revenue data, debt data, and asset data. The data sets are available in various formats, such as CSV, Excel, and JSON, and can be easily downloaded for further analysis. The catalogue is continually updated to ensure the most recent and accurate fiscal data is available for use. It is an invaluable resource for anyone interested in fiscal policy, economic research, or financial analysis. |
eira:concept | eira:ArchitectureBuildingBlock |
eira:view | SV-Datasets Catalogue [Motivation] |