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Such orders are granted only in cases where certain conditions are satisfied, inter alia, there must be an extremely strong prima facie case against the respondent, any potential or actual damage must be serious for the applicant, and there must be clear evidence that the respondent has in his possession incriminating documents or items, and that there is a real possibility he may destroy such material before any inter partes request or application can be made. (...) Furthermore, ST/SGB/2004/15 (Use of information and communication technology resources and data) stipulates that: Section 5 Prohibited activities 5.1 Users of ICT resources and ICT data shall not engage in any of the following actions: (a) Knowingly, or through gross negligence, creating false or misleading ICT data; (b) Knowingly, or through gross negligence, making ICT resources or ICT data available to persons who have not been authorized to access them; (c) Knowingly, or through gross negligence, using ICT resources or ICT data in a manner contrary to the rights and obligations of staff members; (d) Knowingly and without justification or authorization, or through gross negligence, damaging, deleting, deteriorating, altering, extending, concealing, or suppressing ICT resources or ICT data, including connecting or loading any non- ICT resources or ICT data onto any ICT resources or ICT data; (e) Knowingly accessing, without authorization, ICT data or the whole or any part of an ICT resource, including electromagnetic transmissions; (f) Knowingly, or through gross negligence, using ICT resources or ICT data in violation of United Nations contracts or other licensing agreements for use of such ICT resources or ICT data or in violation of international copyright law; (g) Knowingly, or through gross negligence attempting, aiding or abetting the commission of any of the activities prohibited by this section. 16. The aforesaid Bulletin, in particular sec. 5.1(c)–(d) and (g), read together with the commentary in the Annex to the Bulletin, confirms protection and preservation of all United Nations data and resources and the obligation of all staff members in this Case No.
Language:English
Score: 880504.9 - www.un.org/en/internalj...es/undt/orders/ny-2015-224.pdf
Data Source: oaj
Pre-approved evaluation criteria for VA 12-PGM- UNHABITAT-25042-R-FUKUOKA (O) (VA 25042): The word-document provided showing the pre-approved evaluation criteria does not show any reference to the specific job opening and/or to the data-set stored and/or to any date supporting the strong assumption that the document was retroactively generated. (...) The Interview questions for VA 25042: The document provided showing the questions for the interview does not show any reference to the data set stored supporting the strong assumption that the document was retroactively generated. (...) This only allows for the strong assumption that the entire evaluation process was undertaken in violation of the applicable rules and regulations that, in turn, grossly violated the Applicant’s right to due process. 32.
Language:English
Score: 839795.5 - www.un.org/en/internalj...dt/judgments/undt-2014-058.pdf
Data Source: oaj
The Applicant, a former Policy Specialist at the P-4 level in the Data and Analytics Section with the United Nations Children’s Fund (“UNICEF”) in New York, contests the Administration’s decision not to select him for the post of Senior Statistics Specialist (Poverty and Gender) at the P-5 level in the Division of Data, Research and Policy (“DRP”) (“the post”). 2. (...) The selection panel found the Applicant not suitable for the post since while he “has a high level of technical expertise grounded in a strong academic research background” and “has interface with key economic partners at global level”, he “demonstrated limited experience interacting with regional offices, country offices, and other UN agencies”. (...) In response to the competency of “Working with People”, the panel found that the candidate “demonstrated a strong understanding of managing people and dealing with conflict” and “successfully led cross cutting teams and works well with people”. 13.
Language:English
Score: 806605.2 - www.un.org/en/internalj...dt/judgments/undt-2020-041.pdf
Data Source: oaj
Probably Potentially Unlikely No data Probably Potentially Unlikely No data Probably Potentially Unlikely No data Probably Potentially Unlikely No data Probably Potentially Unlikely No data Probably Potentially Unlikely No data Probably Potentially Unlikely No data Probably Potentially Unlikely No data Probably Potentially Unlikely No data Probably Potentially Unlikely No data STATE OF SUPPORTIVE ENVIRONMENT Strong Fair Weak but Weak Improving Strong Fair Weak but Weak Improving Strong Fair Weak but Weak Improving Strong Fair Weak but Weak Improving Strong Fair Weak but Weak improving Strong Fair Weak but Weak improving Strong Fair Weak but Weak Improving Strong Fair Weak but Weak improving Strong Fair Weak but Weak Improving Strong Fair Weak but Weak improving STATUS AT A GLANCE Mozambique’s progress towards the development goals The Millennium development goals progress report: An agenda for action. (...) Tracking Progress in Improved Water Access: Monitoring and Evaluation Environment Elements of monitoring environment Assessment Data gathering capacities Strong Fair Weak Quality of recent survey information Strong Fair Weak Statistical tracking capacities Strong Fair Weak Statistical analysis capacities Strong Fair Weak Capacity to incorporate statistical analysis Strong Fair Weak Into policy, planning and resource allocation mechanisms Monitoring and evaluation mechanisms Strong Fair Weak STATUS AT A GLANCE Will target be reached? Probably Potentially Unlikely Insufficient data State of supportive environment Strong Fair Weak but improving Weak 1.
Language:English
Score: 803004.5 - https://www.undp.org/sites/g/f.../Mozambique_MDGReport_2002.pdf
Data Source: un
STATE OF SUPPORTIVE ENVIRONMENT Extreme poverty and hunger Halve the proportion of people below the national poverty line by 2015 Halve the proportion of people who suffer from hunger Probably Probably Potentially Potentially Unlikely Unlikely Lack of data Lack of data Strong Strong Fair Fair Weak but improving Weak but improving Weak Weak Universal primary education Achieve universal access to primary education by 2015 Probably Potentially Unlikely Lack of data Strong Fair Weak but improving Weak Gender equality Eliminate gender disparity in primary and junior secondary education by 2005 Achieve equal access for boys and girls to senior secondary by 2005 Probably Probably Potentially Potentially Unlikely Unlikely Lack of data Lack of data Strong Strong Fair Fair Weak but improving Weak but improving Weak Weak Under-five mortality Reduce under-five mortality by two-thirds by 2015 Probably Potentially Unlikely Lack of data Strong Fair Weak but improving Weak Maternal mortality Reduce maternal mortality ratio by three- quarters by 2015 Probably Potentially Unlikely Lack of data Strong Fair Weak but improving Weak HIV/AIDS & Malaria Halt and reverse the spread of HIV/AIDS by 2015 Halt and reverse the incidence of malaria Probably Probably Potentially Potentially Unlikely Unlikely Lack of data Lack of data Strong Strong Fair Fair Weak but improving Weak but improving Weak Weak Ensure environmental sustainability Integrate the principles of sustainable development into country policies and programmes and reverse loss of environmental resources Halve the proportion of people without access to safe drinking water by 2015 By 2020 a significant improvement would have been achieved in the lives of at least 100 million slum dwellers. Probably Probably Probably Potentially Potentially Potentially Unlikely Unlikely Unlikely Lack of data Lack of data Lack of data Strong Strong Strong Fair Fair Fair Weak but improving Weak but improving Weak but improving Weak Weak Weak Global partnership for development Deal comprehensively with debt and make debt sustainable in the long term Probably Potentially Unlikely Lack of data Strong Fair Weak but improving Weak Ghana: Millennium Development Goals Report 1 1.0 BACKGROUND Documentation of Ghana’s progress towards the achievement of the Millennium Development Goals began with the compilation of the 2002 MDG report, which focused on performance indicators prior to the implementation of the Growth and Poverty Reduction Strategy (GPRS) in 2002. (...) Ghana: Millennium Development Goals Report 8 4 – Reducing extreme poverty: Monitoring and evaluation environment Elements of Monitoring Environment Assessment Data-gathering capacities Strong Fair Weak Quality of recent survey information Strong Fair Weak Statistical tracking capacities Strong Fair Weak Statistical analysis capacities Strong Fair Weak Capacities to incorporate statistical analysis into policy, planning & resource allocation mechanisms Strong Fair Weak Monitoring & evaluation mechanisms Strong Fair Weak Status at a Glance Will Target be reached by 2015?
Language:English
Score: 789540.8 - https://www.undp.org/sites/g/f...ns/2004MDG%20final%20final.pdf
Data Source: un
STATE OF SUPPORTIVE ENVIRONMENT Extreme poverty and hunger Halve the proportion of people below the national poverty line by 2015 Halve the proportion of people who suffer from hunger Probably Probably Potentially Potentially Unlikely Unlikely Lack of data Lack of data Strong Strong Fair Fair Weak but improving Weak but improving Weak Weak Universal primary education Achieve universal access to primary education by 2015 Probably Potentially Unlikely Lack of data Strong Fair Weak but improving Weak Gender equality Eliminate gender disparity in primary and junior secondary education by 2005 Achieve equal access for boys and girls to senior secondary by 2005 Probably Probably Potentially Potentially Unlikely Unlikely Lack of data Lack of data Strong Strong Fair Fair Weak but improving Weak but improving Weak Weak Under-five mortality Reduce under-five mortality by two-thirds by 2015 Probably Potentially Unlikely Lack of data Strong Fair Weak but improving Weak Maternal mortality Reduce maternal mortality ratio by three- quarters by 2015 Probably Potentially Unlikely Lack of data Strong Fair Weak but improving Weak HIV/AIDS & Malaria Halt and reverse the spread of HIV/AIDS by 2015 Halt and reverse the incidence of malaria Probably Probably Potentially Potentially Unlikely Unlikely Lack of data Lack of data Strong Strong Fair Fair Weak but improving Weak but improving Weak Weak Ensure environmental sustainability Integrate the principles of sustainable development into country policies and programmes and reverse loss of environmental resources Halve the proportion of people without access to safe drinking water by 2015 By 2020 a significant improvement would have been achieved in the lives of at least 100 million slum dwellers. Probably Probably Probably Potentially Potentially Potentially Unlikely Unlikely Unlikely Lack of data Lack of data Lack of data Strong Strong Strong Fair Fair Fair Weak but improving Weak but improving Weak but improving Weak Weak Weak Global partnership for development Deal comprehensively with debt and make debt sustainable in the long term Probably Potentially Unlikely Lack of data Strong Fair Weak but improving Weak Ghana: Millennium Development Goals Report 1 1.0 BACKGROUND Documentation of Ghana’s progress towards the achievement of the Millennium Development Goals began with the compilation of the 2002 MDG report, which focused on performance indicators prior to the implementation of the Growth and Poverty Reduction Strategy (GPRS) in 2002. (...) Ghana: Millennium Development Goals Report 8 4 – Reducing extreme poverty: Monitoring and evaluation environment Elements of Monitoring Environment Assessment Data-gathering capacities Strong Fair Weak Quality of recent survey information Strong Fair Weak Statistical tracking capacities Strong Fair Weak Statistical analysis capacities Strong Fair Weak Capacities to incorporate statistical analysis into policy, planning & resource allocation mechanisms Strong Fair Weak Monitoring & evaluation mechanisms Strong Fair Weak Status at a Glance Will Target be reached by 2015?
Language:English
Score: 789540.8 - https://www.undp.org/sites/g/f...fr/2004MDG%20final%20final.pdf
Data Source: un
Statistical Services Unit OECS Commission Reflections from the UN Data Forum 2021 Have we been going about capacity development the wrong way? (...) SDG mainstreamed), a companion NSDS is necessary; Summary of capacity needs • Institutionalise foundational high-level elements – laws, policy; including for freedom of information; • Design national development strategy (SDG mainstreamed), with a sub-strategy for environment sustainability; • Produce an NSDS and companion capacity development programme (see PARIS21 Capacity Development 4.0); • Establish a national arrangement for environment statistics (public, private, NGOs, CSOs); Summary of capacity needs cont’d • Create a professional development and training programme for environment statisticians and subject matter specialists; • Undertake a programme of continuous capacity assessment of the NSS (ESSAT); • Publish knowledge products that use environmental statistics and indicators; • Design an advocacy and communication plan that promotes and educates the importance of measuring environment sustainability – children youth, women; businesses and so on; SCD implications for a strong EIS • Data producers (MDAs) should receive the support to improve the quality and comparability of their respective data and information (e.g survey, census, administrative; spatial); • Data providers (e.g individuals, households, NGOs, businesses) should be provided the purpose, assistance and means to participate in the availability of environmental data and information; SCD implications for a strong EIS cont’d • Capacity to produce disaggregated data by (vulnerable) groups/cohorts and location (geographical; rural/urban) so that interventions give voice to the voiceless, leaving no one behind; • Capacity to disseminate data and information: all relevant MDAs have an obligation to contribute to an EIS by allowing equal access to information in several formats (written, visual, audio, electronic); Statistical Capacity Needs in the Caribbean Leveraging lessons learnt for statistical capacity development (SCD) for effective Environment Information Systems Dr Gale Archibald Head. Statistical Services Unit OECS Commission Slide 1 Reflections from the UN Data Forum 2021 SCD in the Caribbean: the wrong way?
Language:English
Score: 784347.36 - https://www.cepal.org/sites/de...acity-needs-caribbean-oecs.pdf
Data Source: un
Statistical Services Unit OECS Commission Reflections from the UN Data Forum 2021 Have we been going about capacity development the wrong way? (...) SDG mainstreamed), a companion NSDS is necessary; Summary of capacity needs • Institutionalise foundational high-level elements – laws, policy; including for freedom of information; • Design national development strategy (SDG mainstreamed), with a sub-strategy for environment sustainability; • Produce an NSDS and companion capacity development programme (see PARIS21 Capacity Development 4.0); • Establish a national arrangement for environment statistics (public, private, NGOs, CSOs); Summary of capacity needs cont’d • Create a professional development and training programme for environment statisticians and subject matter specialists; • Undertake a programme of continuous capacity assessment of the NSS (ESSAT); • Publish knowledge products that use environmental statistics and indicators; • Design an advocacy and communication plan that promotes and educates the importance of measuring environment sustainability – children youth, women; businesses and so on; SCD implications for a strong EIS • Data producers (MDAs) should receive the support to improve the quality and comparability of their respective data and information (e.g survey, census, administrative; spatial); • Data providers (e.g individuals, households, NGOs, businesses) should be provided the purpose, assistance and means to participate in the availability of environmental data and information; SCD implications for a strong EIS cont’d • Capacity to produce disaggregated data by (vulnerable) groups/cohorts and location (geographical; rural/urban) so that interventions give voice to the voiceless, leaving no one behind; • Capacity to disseminate data and information: all relevant MDAs have an obligation to contribute to an EIS by allowing equal access to information in several formats (written, visual, audio, electronic); Statistical Capacity Needs in the Caribbean Leveraging lessons learnt for statistical capacity development (SCD) for effective Environment Information Systems Dr Gale Archibald Head. Statistical Services Unit OECS Commission Slide 1 Reflections from the UN Data Forum 2021 SCD in the Caribbean: the wrong way?
Language:English
Score: 784347.36 - https://www.cepal.org/sites/de...y-needs-the-caribbean-oecs.pdf
Data Source: un
Statistical Services Unit OECS Commission Reflections from the UN Data Forum 2021 Have we been going about capacity development the wrong way? (...) SDG mainstreamed), a companion NSDS is necessary; Summary of capacity needs • Institutionalise foundational high-level elements – laws, policy; including for freedom of information; • Design national development strategy (SDG mainstreamed), with a sub-strategy for environment sustainability; • Produce an NSDS and companion capacity development programme (see PARIS21 Capacity Development 4.0); • Establish a national arrangement for environment statistics (public, private, NGOs, CSOs); Summary of capacity needs cont’d • Create a professional development and training programme for environment statisticians and subject matter specialists; • Undertake a programme of continuous capacity assessment of the NSS (ESSAT); • Publish knowledge products that use environmental statistics and indicators; • Design an advocacy and communication plan that promotes and educates the importance of measuring environment sustainability – children youth, women; businesses and so on; SCD implications for a strong EIS • Data producers (MDAs) should receive the support to improve the quality and comparability of their respective data and information (e.g survey, census, administrative; spatial); • Data providers (e.g individuals, households, NGOs, businesses) should be provided the purpose, assistance and means to participate in the availability of environmental data and information; SCD implications for a strong EIS cont’d • Capacity to produce disaggregated data by (vulnerable) groups/cohorts and location (geographical; rural/urban) so that interventions give voice to the voiceless, leaving no one behind; • Capacity to disseminate data and information: all relevant MDAs have an obligation to contribute to an EIS by allowing equal access to information in several formats (written, visual, audio, electronic); Statistical Capacity Needs in the Caribbean Leveraging lessons learnt for statistical capacity development (SCD) for effective Environment Information Systems Dr Gale Archibald Head. Statistical Services Unit OECS Commission Slide 1 Reflections from the UN Data Forum 2021 SCD in the Caribbean: the wrong way?
Language:English
Score: 784347.36 - https://www.cepal.org/sites/de...al-capacity-caribbean-oecs.pdf
Data Source: un
The IAR highlights some of the factors that have allowed Thailand to successfully control COVID-19 so far: these include strong leadership that responds to best scientific evidence; a strong underlying strong public health system, the countries previous experience with other important outbreaks, and a strong collaboration with the academic and private sectors. (...) Background: Key Findings The Intra-Action Review highlighted factors that contributed to successful management of the pandemic in Thailand Strong leadership informed by the best available scientific evidence Administrative systems adapted to changing demands A strong, well-resourced and inclusive medical and public health system. (...) A new national digital data system would integrate data that could be easily accessed, analyzed and communicated.
Language:English
Score: 776905 - https://www.who.int/thailand/n...4-10-2020-Thailand-IAR-COVID19
Data Source: un