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E-book A Matter of Trust : Building Integrity into Data, Statistics and Records to Support the Achievement of the Sustainable Development Goals

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Penilaian

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The Sustainable Development Goals (SDGs) initiative has the potential to set the direction for a future world that works for everyone. The SDGs were approved by 193 United Nations member countries in September 2016 to help guide global and national development policies in the period to 2030. The 17 goals build on the successes of the Millennium Development Goals, while also including new priority areas such as climate change, economic inequality, innovation, sustainable consumption, peace and justice. Each of the 17 SDGs is to be assessed against agreed targets and indicators.1 One hundred and sixty nine targets set out quantitative and qualitative objectives, with 232 indicators. Individual countries, supported by international organisations, notably the UN Statistics Division, are responsible for collecting and processing the data and generating the statistics required to measure the indicators.Each goal presents a considerable challenge in terms of collecting and analysing relevant data and producing the statistics needed to measure progress. Measuring the indicators is intended to guide policy development, strategy design and, in general terms, the future direction of individual countries. Taken across countries, the measurements are widely expected to foster greater intergovernmental cooperation and the development of regional and even global strategies. However, as Morton Jerven2 has pointed out, most governments in lower resourced countries (his research focused on Africa) have yet to introduce the control systems needed to produce high-quality, reliable data and statistics; those responsible for data collection and the production of statistics tend to be too few in number and to lack the expertise needed to introduce the necessary policies, standards, procedures and accountability structures. Jerven questions how anyone can rely on the data and statistics generated under these conditions to make decisions and set direction.The implications are significant, not only for measuring the Sustainable Development Goals but for the broader ability to plan and achieve development. If progress cannot be measured accurately because of inadequate, inaccurate or flawed statistics, the results can be misguided decisions and doubts about the achievement of the goals. failure to ‘get the statistics right’ can result in wrong decisions being made, wrong strategies being adopted, and wrong laws, policies and standards being established. It can also lead to a needless waste of resources.Getting the statistics ‘right’ depends upon the quality and integrity of the data used to produce the statistics. These, in turn, depend upon the quality of the processes that support the collection, manipulation and analysis of the data and the production of the statistics. Ultimately, the quality of these data management and statistical processes depends on the availability, completeness and integrity of the records that document them. Without a documentary record to provide evidence of how the data were gathered and analysed or how statistics were produced and disseminated, it is not possible to confirm that the statistics used to measure the SDG indicators are complete, accurate, relevant and meaningful.Moreover, records are important sources of information in their own right. They contain information about how, when and where the processes supporting the measurement of the SDG indicators were undertaken as well as information about the data and statistics themselves. This information, when well-managed, can be manipulated with other information contained in other records to support a wide range of purposes. for instance, it can be used to identify and act upon opportunities for merging data from related sources, to analyse trends in the quality of the processes, data and statistics, and to produce management statistics that support the administration of the processes that generate the data and statistics.The significance of the quality and integrity of data and statistics for measuring the SDG indicators reliably has received considerable attention from a variety of global organisations, including the Sustainable Development Solutions Network and the Global Partnership for Sustainable Development Data.3 However, as yet, relatively little attention has been given to the role of records in providing evidence to demonstrate that the data and statistics are trustworthy and can be used reliably. Processing data to produce statistics is one thing but processing authentic and reliable data using auditable processes in line with international standards, such that the statistics can be trusted, is quite another.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

300.285 AMB a

Penerbit

London : University of London Press., 2020

Deskripsi Fisik

269 hlm

Bahasa

English

ISBN/ISSN

9781912250356

Klasifikasi

300.285

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

-

Subjek

Data Analysis of Social Science

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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