Public Sector: % of GDP: Sources: Internal Borrowing: Renegotiation: State data was reported at 0.406 % in Apr 2019. This records a decrease from the previous number of 0.498 % for Mar 2019. Public Sector: % of GDP: Sources: Internal Borrowing: Renegotiation: State data is updated monthly, averaging 0.423 % from Jan 2001 (Median) to Apr 2019, with 220 observations. The data reached an all-time high of 8.781 % in Dec 2002 and a record low of -2.889 % in Aug 2001. Public Sector: % of GDP: Sources: Internal Borrowing: Renegotiation: State data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Government and Public Finance – Table BR.FA013: Public Sector: Uses and Sources: % of Nominal GDP.

Primary Uses:

Credit Checking and Approval Matching Industry and Customer Benchmarking and Analysis The Basis for Research Projects and Reports

Subscription Includes:

Continuous Live Updating and Bespoke Delivery Infinite selections across over 90,000 organisations Granular Organisational Categorisation across Three Levels. Sector Specific Demographics and Intelligence Identification of Publicly Funded Entities Hierarchies, Group Structures and Organisational Relationships Unique ORG ID’s with full integrity and Official ID’s for many organisations

The Register of Public Sector Bodies in Ireland provides the basis for the preparation of Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP) reporting for Ireland. The Register is based on a number of sources including government publications, annual reports, academic databases and data collection undertaken by the CSO through the Department of Public Expenditure and Reform and the Department of Housing, Local Government and Heritage. .hidden { display: none }

Public Sector: % of GDP: Sources: Internal Borrowing: Renegotiation data was reported at 0.000 % in Apr 2019. This stayed constant from the previous number of 0.000 % for Mar 2019. Public Sector: % of GDP: Sources: Internal Borrowing: Renegotiation data is updated monthly, averaging 0.000 % from Dec 2001 (Median) to Apr 2019, with 209 observations. The data reached an all-time high of 0.000 % in Apr 2019 and a record low of 0.000 % in Apr 2019. Public Sector: % of GDP: Sources: Internal Borrowing: Renegotiation data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Government and Public Finance – Table BR.FA013: Public Sector: Uses and Sources: % of Nominal GDP.

Quarterly Public Sector Debt (QPSD) database, jointly developed by the World Bank and the International Monetary Fund, brings together detailed public sector debt data of selected countries. The QPSD database includes country and cross-country tables, and specific public debt components. The data represent the following sectors on an as-available basis: General government; otherwise Central government; otherwise Budgetary central government; Nonfinancial public corporations and Financial public corporations and a table presenting the total public sector debt.

Quarterly Public Sector Debt (QPSD) database, jointly developed by the World Bank and the International Monetary Fund, brings together detailed public sector debt data of selected countries. The QPSD database includes country and cross-country tables, and specific public debt components. The data represent the following sectors on an as-available basis: General government; otherwise Central government; otherwise Budgetary central government; Nonfinancial public corporations and Financial public corporations and a table presenting the total public sector debt.

The Register of Public Sector Bodies in Ireland provides the basis for the preparation of Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP) reporting for Ireland. The Register lists all the organisations in the State which are classified as “general government” bodies for the purposes of national and government accounts. It also lists organisations which, while under public control, are not part of the general government sector. The Register is based on a number of sources including government publications, annual reports, academic databases and data collection undertaken by the CSO through the Department of Public Expenditure and Reform and the Department of Housing, Local Government and Heritage. .hidden { display: none }

The Open Budgets Portal is the first effort to create a one-stop shop for budget data worldwide with the hope of bringing visibility to countries’ efforts in this field, facilitating access and promoting use of spending data, and motivating other countries into action. - Periodicity: Annual - Number of Economies: 1 - Update Frequency: Annually - Update Schedule: July - Access Option: Query tool

The Register of Public Sector Bodies in Ireland provides the basis for the preparation of Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP) reporting for Ireland. The Register lists all the organisations in the State which are classified as “general government” bodies for the purposes of national and government accounts. It also lists organisations which, while under public control, are not part of the general government sector. The Register is based on a number of sources including government publications, annual reports, academic databases and data collection undertaken by the CSO through the Department of Public Expenditure and Reform and the Department of Housing, Local Government and Heritage .hidden { display: none }

The Local Government Budget and Financial Report Database provides the public access to current and official versions of budgets for Counties, County Ag Extensions, County/City Assessors, County Hospitals, & Townships, Benefited Fire, Lighting, Water Districts, and Misc Budgets (DART, EMC, E911, Rural Improvement Zones, Recreational Water, Sanitary Sewer Districts). The public has access to multiple forms that are part of the budget. The database also provides the public access to annual financial reports for Counties. The site provides both GAAP and Cash Financial Reports for multiple fiscal years.

The Worldwide Bureaucracy Indicators (WWBI) database is a unique cross-national dataset on public sector employment and wages that aims to fill an information gap, thereby helping researchers, development practitioners, and policymakers gain a better understanding of the personnel dimensions of state capability, the footprint of the public sector within the overall labor market, and the fiscal implications of the public sector wage bill. The dataset is derived from administrative data and household surveys, thereby complementing existing, expert perception-based approaches. The WWBI indicators are estimated from microdata drawn from the labor force and household surveys and augmented with administrative data for 202 economies in five categories: the demographics of the private and public sector workforces; public sector wage premiums; relative wages and pay compression ratios, gender pay gaps; and the public sector wage bill. The micro and administrative data utilized in the construction of the WWBI are drawn from data catalogs housing surveys conducted by national statistical organizations (NSO) or multilateral organization data teams. Together, these provide an important, albeit narrow, picture of the skills and incentives of bureaucrats. Indicators on public employment track key demographic characteristics including the size of the public sector workforce (in absolute and relative numbers), their age, and distributions across genders, industries, occupations, income quintiles, and academic qualifications. Variables on compensation capture both the competitiveness of public sector wages (compared to the private sector) as well as wage differentials across industry or occupation of employment, genders, education, and income quintiles within the public and private sectors as well as pay compression ratios in public and private sectors. The indicators on the size of the wage bill offer a glimpse into the structure and affordability of the public sector within the larger economy.

For further details, please refer to https://datacatalog.worldbank.org/search/dataset/0038132

The Register of Public Sector Bodies in Ireland provides the basis for the preparation of Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP) reporting for Ireland. The Register lists all the organisations in the State which are classified as “general government” bodies for the purposes of national and government accounts. It also lists organisations which, while under public control, are not part of the general government sector. The Register is based on a number of sources including government publications, annual reports, academic databases and data collection undertaken by the CSO through the Department of Public Expenditure and Reform and the Department of Housing, Local Government and Heritage .hidden { display: none }

Brazil Public Sector: State Government: Uses data was reported at 3,676.744 BRL mn in Apr 2019. This records a decrease from the previous number of 3,729.961 BRL mn for Mar 2019. Brazil Public Sector: State Government: Uses data is updated monthly, averaging 2,167.404 BRL mn from Jan 2001 (Median) to Apr 2019, with 220 observations. The data reached an all-time high of 19,625.067 BRL mn in Dec 2014 and a record low of -7,278.980 BRL mn in Jan 2019. Brazil Public Sector: State Government: Uses data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Government and Public Finance – Table BR.FA028: Public Sector: Uses and Sources: State Government.

United States agricultural researchers have many options for making their data available online. This dataset aggregates the primary sources of ag-related data and determines where researchers are likely to deposit their agricultural data. These data serve as both a current landscape analysis and also as a baseline for future studies of ag research data. Purpose As sources of agricultural data become more numerous and disparate, and collaboration and open data become more expected if not required, this research provides a landscape inventory of online sources of open agricultural data. An inventory of current agricultural data sharing options will help assess how the Ag Data Commons, a platform for USDA-funded data cataloging and publication, can best support data-intensive and multi-disciplinary research. It will also help agricultural librarians assist their researchers in data management and publication. The goals of this study were to establish where agricultural researchers in the United States-- land grant and USDA researchers, primarily ARS, NRCS, USFS and other agencies -- currently publish their data, including general research data repositories, domain-specific databases, and the top journals compare how much data is in institutional vs. domain-specific vs. federal platforms determine which repositories are recommended by top journals that require or recommend the publication of supporting data ascertain where researchers not affiliated with funding or initiatives possessing a designated open data repository can publish data Approach The National Agricultural Library team focused on Agricultural Research Service (ARS), Natural Resources Conservation Service (NRCS), and United States Forest Service (USFS) style research data, rather than ag economics, statistics, and social sciences data. To find domain-specific, general, institutional, and federal agency repositories and databases that are open to US research submissions and have some amount of ag data, resources including re3data, libguides, and ARS lists were analysed. Primarily environmental or public health databases were not included, but places where ag grantees would publish data were considered. Search methods We first compiled a list of known domain specific USDA / ARS datasets / databases that are represented in the Ag Data Commons, including ARS Image Gallery, ARS Nutrition Databases (sub-components), SoyBase, PeanutBase, National Fungus Collection, i5K Workspace @ NAL, and GRIN. We then searched using search engines such as Bing and Google for non-USDA / federal ag databases, using Boolean variations of “agricultural data” /“ag data” / “scientific data” + NOT + USDA (to filter out the federal / USDA results). Most of these results were domain specific, though some contained a mix of data subjects. We then used search engines such as Bing and Google to find top agricultural university repositories using variations of “agriculture”, “ag data” and “university” to find schools with agriculture programs. Using that list of universities, we searched each university web site to see if their institution had a repository for their unique, independent research data if not apparent in the initial web browser search. We found both ag specific university repositories and general university repositories that housed a portion of agricultural data. Ag specific university repositories are included in the list of domain-specific repositories. Results included Columbia University – International Research Institute for Climate and Society, UC Davis – Cover Crops Database, etc. If a general university repository existed, we determined whether that repository could filter to include only data results after our chosen ag search terms were applied. General university databases that contain ag data included Colorado State University Digital Collections, University of Michigan ICPSR (Inter-university Consortium for Political and Social Research), and University of Minnesota DRUM (Digital Repository of the University of Minnesota). We then split out NCBI (National Center for Biotechnology Information) repositories. Next we searched the internet for open general data repositories using a variety of search engines, and repositories containing a mix of data, journals, books, and other types of records were tested to determine whether that repository could filter for data results after search terms were applied. General subject data repositories include Figshare, Open Science Framework, PANGEA, Protein Data Bank, and Zenodo. Finally, we compared scholarly journal suggestions for data repositories against our list to fill in any missing repositories that might contain agricultural data. Extensive lists of journals were compiled, in which USDA published in 2012 and 2016, combining search results in ARIS, Scopus, and the Forest Service's TreeSearch, plus the USDA web sites Economic Research Service (ERS), National Agricultural Statistics Service (NASS), Natural Resources and Conservation Service (NRCS), Food and Nutrition Service (FNS), Rural Development (RD), and Agricultural Marketing Service (AMS). The top 50 journals' author instructions were consulted to see if they (a) ask or require submitters to provide supplemental data, or (b) require submitters to submit data to open repositories. Data are provided for Journals based on a 2012 and 2016 study of where USDA employees publish their research studies, ranked by number of articles, including 2015/2016 Impact Factor, Author guidelines, Supplemental Data?, Supplemental Data reviewed?, Open Data (Supplemental or in Repository) Required? and Recommended data repositories, as provided in the online author guidelines for each the top 50 journals. Evaluation We ran a series of searches on all resulting general subject databases with the designated search terms. From the results, we noted the total number of datasets in the repository, type of resource searched (datasets, data, images, components, etc.), percentage of the total database that each term comprised, any dataset with a search term that comprised at least 1% and 5% of the total collection, and any search term that returned greater than 100 and greater than 500 results. We compared domain-specific databases and repositories based on parent organization, type of institution, and whether data submissions were dependent on conditions such as funding or affiliation of some kind. Results A summary of the major findings from our data review: Over half of the top 50 ag-related journals from our profile require or encourage open data for their published authors. There are few general repositories that are both large AND contain a significant portion of ag data in their collection. GBIF (Global Biodiversity Information Facility), ICPSR, and ORNL DAAC were among those that had over 500 datasets returned with at least one ag search term and had that result comprise at least 5% of the total collection. Not even one quarter of the domain-specific repositories and datasets reviewed allow open submission by any researcher regardless of funding or affiliation. See included README file for descriptions of each individual data file in this dataset. Resources in this dataset:Resource Title: Journals. File Name: Journals.csvResource Title: Journals - Recommended repositories. File Name: Repos_from_journals.csvResource Title: TDWG presentation. File Name: TDWG_Presentation.pptxResource Title: Domain Specific ag data sources. File Name: domain_specific_ag_databases.csvResource Title: Data Dictionary for Ag Data Repository Inventory. File Name: Ag_Data_Repo_DD.csvResource Title: General repositories containing ag data. File Name: general_repos_1.csvResource Title: README and file inventory. File Name: README_InventoryPublicDBandREepAgData.txt

Data Dictionary (Codebook) for CLEAR Relational Database

This dataset contains the economic data corresponding to the main financial statements that make up the annual accounts of the entities of the Administrative subsector of the Instrumental sector that have submitted their accounts to the Sindicatura de Comptes de la Comunitat Valenciana, as well as certain information from their memory The information is presented individually and in aggregate for each type of entity in the indicated subsector. This information is completed with the establishment of homogeneous financial, equity and budgetary indicators and magnitudes. The types of entities for which information is collected in this data set are: 1. Autonomous Organizations 2. Universities 3. Institutions dependent on universities 4. Administrative consortia 5. Other entities of public administrative law

The Open Budgets Portal is the first effort to create a one-stop shop for budget data worldwide with the hope of bringing visibility to countries’ efforts in this field, facilitating access and promoting use of spending data, and motivating other countries into action.

The Open Budgets Portal is the first effort to create a one-stop shop for budget data worldwide with the hope of bringing visibility to countries’ efforts in this field, facilitating access and promoting use of spending data, and motivating other countries into action.

Brazil Public Sector: Local Government: Uses data was reported at 767.583 BRL mn in Apr 2019. This records an increase from the previous number of 449.235 BRL mn for Mar 2019. Brazil Public Sector: Local Government: Uses data is updated monthly, averaging 438.882 BRL mn from Jan 2001 (Median) to Apr 2019, with 220 observations. The data reached an all-time high of 3,557.373 BRL mn in Dec 2018 and a record low of -1,611.750 BRL mn in Jan 2018. Brazil Public Sector: Local Government: Uses data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Government and Public Finance – Table BR.FA034: Public Sector: Uses and Sources: Local Government.

Brazil Public Sector: Year to Date: State Government: Sources: External Borrowing data was reported at -594.937 BRL mn in Apr 2019. This records a decrease from the previous number of -399.715 BRL mn for Mar 2019. Brazil Public Sector: Year to Date: State Government: Sources: External Borrowing data is updated monthly, averaging 269.845 BRL mn from Jan 2001 (Median) to Apr 2019, with 220 observations. The data reached an all-time high of 13,350.592 BRL mn in Dec 2014 and a record low of -594.937 BRL mn in Apr 2019. Brazil Public Sector: Year to Date: State Government: Sources: External Borrowing data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Government and Public Finance – Table BR.FA029: Public Sector: Uses and Sources: State Government: Year to Date.