Overview

Project website github.com/worldbank/sdg-metadata
Instructions for translators

This project is limited to Russian translation only, for now.

More detailed instructions to come.
Project maintainers User avatar brockfanning
Translation license MIT License
Translation process
  • Translations can be made directly.
  • Translation suggestions are turned off.
  • Translations are reviewed by dedicated reviewers.
  • Any authenticated user can contribute.
  • The translation uses monolingual files.
  • The translation base language can not be edited.
Source code repository https://github.com/worldbank/sdg-metadata
Repository branch master
Last remote commit Merge pull request #553 from weblate/weblate-sdg-metadata-1-1-1a d3a3ca3e2bb
User avatar brockfanning authored a month ago
Last commit in Weblate Merge pull request #553 from weblate/weblate-sdg-metadata-1-1-1a d3a3ca3e2bb
User avatar brockfanning authored a month ago
Weblate repository https://hosted.weblate.org/git/sdg-metadata/1-1-1a/
File mask translations-metadata/*/9-5-1.yml
Monolingual base language file translations-metadata/en/9-5-1.yml
Translation file Download translations-metadata/fr/9-5-1.yml
Last change Aug. 19, 2023, 4:52 p.m.
Last change made by None
Language French
Language code fr
Text direction Left to right
Number of speakers 295,510,923
Number of plurals 3
Plural type One/many/other
Plurals One 0, 1
Many 1000000, 2000000
Other 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, …
Plural formula (n == 0 || n == 1) ? 0 : ((n != 0 && n % 1000000 == 0) ? 1 : 2)
5 days ago

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 32 1,804 16,506
Approved 0% 0 0% 0 0% 0
Waiting for review 9% 3 3% 70 3% 562
Translated 9% 3 3% 70 3% 562
Needs editing 65% 21 76% 1,372 76% 12,595
Read-only 0% 0 0% 0 0% 0
Failing checks 75% 24 83% 1,503 82% 13,561
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 25% 8 20% 362 20% 3,349
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User avatar None

Resource updated
The “translations-metadata/en/9-5-1.yml” file was changed. a year ago
User avatar None

String updated in the repository
<p><strong>URL:</strong></p>
<p><a href="http://www.uis.unesco.org">www.uis.unesco.org</a> </p>
<p><strong>References:</strong></p>
<p>OECD (2015), Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, The Measurement of Scientific, Technological and Innovation Activities, OECD Publishing, Paris. DOI:</p>
<p><a href="http://dx.doi.org/10.1787/9789264239012-en">http://dx.doi.org/10.1787/9789264239012-en</a></p>
<p>UNESCO Institute for Statistics (UIS) Data centre:</p>
<p><a href="http://data.uis.unesco.org/index.aspx?queryid=3684">http://data.uis.unesco.org/index.aspx?queryid=3684</a> </p>
<h1> Références</h1>
<h2> URL:</h2>
<p> <a href="www.uis.unesco.org/fr"www.uis.unesco.org</a></p>
<h2> Références:</h2>
<p> OCDE (2015), Manuel de Frascati 2015:Lignes directrices pour le recueil et la communication des données sur la recherche et le développement expérimental, Mesurer les activités scientifiques, technologiques et d'innovation, Éditions de l'OCDE, Paris. DOI:</p>
<p> <a href=''https://www.oecd-ilibrary.org/fr/science-and-technology/manuel-de-frascati-2015_9789264257252-frhttp://dx.doi.org/10.1787/9789264239012-fr</a></p>
<p> Centre de données de l’ISU:</p>
<p> <a href="http://data.uis.unesco.org/Index.aspx?lang=fr&SubSessionId=e6fa436d-096e-4407-936a-b2126df68608&themetreeid=-200DataSetCode=SCN_DS&amp;popupcustomise=true&amp;lang=en">http://data.uis.unesco.org/Index.aspx?DataSetCode=SCN_DS&amp;popupcustomise=true&amp;lang=fr</a></p>
a year ago
User avatar None

Source string changed
<p><strong>URL:</strong></p>
<p><a href="http://www.uis.unesco.org">www.uis.unesco.org</a> </p>
<p><strong>References:</strong></p>
<p>OECD (2015), Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, The Measurement of Scientific, Technological and Innovation Activities, OECD Publishing, Paris. DOI:</p>
<p><a href="http://dx.doi.org/10.1787/9789264239012-en">http://dx.doi.org/10.1787/9789264239012-en</a></p>
<p>UNESCO Institute for Statistics (UIS) Data centre:</p>
<p><a href="http://data.uis.unesco.org/index.aspx?queryid=3684">http://data.uis.unesco.org/index.aspx?queryid=3684</a> </p>
a year ago
User avatar None

String updated in the repository
<p><strong>Sources of discrepancies:</strong></p>
<p>There are no differences in the underlying data. Difference may occur due to the use of difference data for the denominator used to calculate indicators.</p>
<h2> Sources des divergences:</h2>
<p> Il n’y a aucune différence dans les données sous-jacentes. La différence peut se produire en raison de l’utilisation de données de différence pour le dénominateur utilisé pour calculer les indicateurs. </p>
a year ago
User avatar None

String updated in the repository
<p><strong>Data availability:</strong></p>
<p>Data available for 150 countries for research and experimental development (R&amp;D) expenditure as % of GDP</p>
<p><strong>Time series:</strong></p>
<p>Data available in the UNESCO Institute for Statistics (UIS) database since reference year 1996, but historical data available back to 1981</p>
<p><strong>Disaggregation:</strong></p>
<p>Research and experimental development (R&amp;D) expenditure can be broken down by sector of performance, source of funds, field of science, type of research and type of cost.</p>
<h1> Disponibilité des données</h1>
<h2> Description:</h2>
<p> Données disponibles pour plus de 130 pays pour les dépenses de R&amp;D en % du PIB. </p>
<h2> Série de temps:</h2>
<p> Données disponibles dans la base de données de l’ISU depuis l’année de référence 1996, mais données historiques disponibles depuis 1981. </p>
<h2> Désagrégation:</h2>
<p> Les dépenses de R&amp;D peuvent être ventilés par secteur du rendement, source de fonds, domaine de la science, type de recherche et type de coût. </p>
a year ago
User avatar None

Source string changed
<p><strong>Data availability:</strong></p>
<p>Data available for over 13150 countries for research and experimental development (R&amp;D) expenditure as % of GDP</p>
<p><strong>Time series:</strong></p>
<p>Data available in the UISNESCO Institute for Statistics (UIS) database since reference year 1996, but historical data available back to 1981</p>
<p><strong>Disaggregation:</strong></p>
<p>Research and experimental development (R&amp;D) expenditure can be broken down by sector of performance, source of funds, field of science, type of research and type of cost.</p>
a year ago
User avatar None

String updated in the repository
<p>The data should comply with the concepts/definitions and guidelines provided in the international standards (i.e. the Organisation for Economic Co-operation and Development - OECD Frascati Manual) and should cover all sectors of performance, representing all institutions, which are engaged in research and experimental development (R&amp;D) activities in the country. Criteria for quality assessment include: data sources must include proper documentation; data values must be nationally representative, if not, should be footnoted; data are plausible and based on trends and consistency with previously published/reported values.</p>
 
a year ago
User avatar None

String updated in the repository
<p>The process of quality assurance includes review of survey documentations/metadata, examination of reliability of data, making sure they comply with international standards (including the Organisation for Economic Co-operation and Development - OECD Frascati Manual), and examining the consistency and coherence within the data set as well as with the time series of data and the resulting indicators. During the data processing stage, for each questionnaire received from countries where UNESCO Institute for Statistics (UIS) sends questionnaires to, the above quality aspects are looked into and a data report is produced identifying problematic issues/inconsistent data for each respective country. The UNESCO Institute for Statistics (UIS) sends such data reports, including the calculated indicators for target 9.5, providing the countries with the opportunity to review the data/indicators and submit any clarifications or modifications/additions before releasing data at the UNESCO Institute for Statistics (UIS) Data Centre and submitting the data to UN Statistics Division for inclusion in the global SDG Indicators Database.</p>
<h2> Assurance de la qualité:</h2>
<p> L’Institut de statistique de l’UNESCO (ISU) envoie chaque année un questionnaire pour recueillir des données de R&amp;D de tous les pays (environ 125 pays), qui ne sont pas couvertes par les collectes de données des autres organisations partenaires telles que l’Organisation de coopération et de développement économiques (OCDE), Eurostat (Office statistique de l’Union européenne) et le Réseau sur les indicateurs scientifiques et technologiques &#x2013; Ibéro-Américain et interaméricain (RICYT). En accord avec ces trois organisations, leurs données (qui ont été collectées auprès de leurs États membres/États membres associés &#x2013; autour de 65 pays) sont directement obtenues à partir des bases de données respectives (dans le cas de l’OCDE et d’Eurostat) ou reçues du partenaire (dans le cas du RICYT). Il y a également une collaboration en Afrique avec l’Initiative africaine pour les indicateurs des ITS (ASTII) de l’UA/NEPAD. Pour les données à qui l’ISU envoie un questionnaire, le processus d’assurance de la qualité est le suivant :</p>
<p> </p>
<ol>
<li> Un questionnaire est envoyé aux points focaux dans les pays, généralement
au sein du Ministère des sciences et de la technologie ou de l’Office national de la statistique. </li>
<li> L’ISU traite les questionnaires, communique avec les pays en cas de questions,
calcule les indicateurs et publie les données et les indicateurs sur son site Web. </li>
<li> Les pays sont priés de remplir le questionnaire à l’aide des classifications
internationales standard, c’est pourquoi des ajustements ne sont généralement pas nécessaires. Les autres organismes ont des procédures similaires. </li> </ol>
<p> Après traitement des données, mais avant de soumettre les données pour inclusion dans la base de données des ODD, l’ISU envoie les indicateurs calculés pour la cible 9.5 à tous les pays qui ne soumettent pas leurs données à Eurostat ou à l’OCDE. Cela donne aux pays la possibilité d’examiner les données et de fournir des modifications ou des ajouts avant que l’ISU ne soumette les données à l’UNSD. </p>
a year ago
User avatar None

Source string changed
<p>The process of quality assurance includes review of survey documentations/metadata, examination of reliability of data, making sure they comply with international standards (including the Organisation for Economic Co-operation and Development - OECD Frascati Manual), and examining the consistency and coherence within the data set as well as with the time series of data and the resulting indicators. During the data processing stage, for each questionnaire received from countries where UISNESCO Institute for Statistics (UIS) sends questionnaires to, the above quality aspects are looked into and a data report is produced identifying problematic issues/inconsistent data for each respective country. The UNESCO Institute for Statistics (UIS) sends such data reports, including the calculated indicators for target 9.5, providing the countries with the opportunity to review the data/indicators and submit any clarifications or modifications/additions before releasing data at the UISNESCO Institute for Statistics (UIS) Data Centre and submitting the data to UNSD Statistics Division for inclusion in the global SDG Indicators Database.</p>
a year ago
User avatar None

String updated in the repository
<p>The UNESCO Institute of Statistics (UIS) maintains a set of data processing guidelines/standards as well as data processing tools to facilitate processing of data and ensure the quality of data. </p>
 
a year ago
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