Categories
Uncategorized

Telecom Subscriptions

This dataset covers the data on the number of telephone and broadband subscriptions and their penetration rates (both fixed and mobile) in the Sultanate of Oman.

Dataset Description

SourceTelecommunications Regulatory Authority.
Time period covered2010 to 2020.
Frequency of updateYearly.

Metadata

FieldDescription
YearThe year in the format of YYYY.
Fixed Telephone SubsThe number of fixed telephone subscriptions in Oman.
Fixed Telephone PenetrationThe penetration rate of fixed telephone subscriptions per household in Oman as a percentage. The TRA relies on data from the NCSI for determining the number of households in Oman.
Fixed Broadband SubsThe number of fixed broadband subscriptions in Oman.
Fixed Broadband PenetrationThe penetration rate of fixed broadband subscriptions per household in Oman as a percentage. The TRA relies on data from the NCSI for determining the number of households in Oman.
Mobile Telephone SubsThe number of mobile telephone subscriptions in Oman.
Mobile Telephone Penetration The penetration rate of mobile telephone subscriptions per inhabitant in Oman as a percentage.
Mobile Broadband SubsThe number of mobile broadband subscriptions in Oman. This includes handset-based and computer-based subscriptions.
Mobile Broadband PenetrationThe penetration rate of mobile broadband subscriptions per inhabitant in Oman as a percentage.
For further details on the technical meaning of these fields, please refer to this ITU Handbook.

Data

wpDataTable with provided ID not found!

Vizualisation

Telecom Subscriptions

wpDataChart with provided ID not found!

Telecom Penetration Rates

wpDataChart with provided ID not found!

Notes

This data was collected from the open data files of the TRA as well as information individually collected from the reports section of the TRA’s website.

Categories
Blog

Open Data Beyond the Government

 Why public utility companies and government-owned companies must publish open data.

The government of Oman has put a significant amount of effort into promoting the release of open data by government entities. This effort should not be focused only on the government itself but must expand to reach public utility companies and government-owned companies, especially as the number of these companies, and the amount of data they control, continues to grow. 

Categories
Blog

Openness and the Classification Law

The government of Oman operates through a culture of secrecy, where everything is assumed to be confidential unless proven otherwise. This culture restricts the ability of the government to be truly open, and substantially limits the flow of information between and within government entities. This secrecy is a result of a number of factors, such as the lack of proper governance structures for decision-making within most government entities, the unjustified fear around any security-related issue, and the frequently misunderstood Law on the Classification of State Records and Governance of Protected Places (the “Classification Law”).

Categories
Toolkit

Open Data Catalogues

For data to be truly considered open, the data must be complete in regard to the content of the data itself and in regard to the metadata describing the information that an open data publisher is releasing. Creating a comprehensive open data catalogue is an effective way for ensuring that published open data is accompanied by the minimum required amount of metadata.

Even though many government entities in Oman have published open data in the past, the majority of these government entities do not include a sufficient description of the data they publish, and instead upload a collection of Excel files that do not include any details other than the file name.

This webpage shows an example of a government entity publishing a collection of files without any metadata or other useful information to provide context for the open data it publishes.

It is highly recommended that an entity creates an open data catalogue to ensure that the data is properly identified and easily accessible. Such a catalogue should reasonably be made published on the internet and should be the primary method for enabling users to locate and download the data.

In particular, this open data catalogue should include separate entities for each dataset covering the following elements:

Title

The catalogue should include a short title describing the dataset in question.

Description

The catalogue should include a brief explanation of the contents of the dataset, a description of why this data is significant, and the manner in which it was collected.

Period Covered

If applicable, the catalogue should provide details of the time period covered by the data. For example, if the data relates to COVID-19 deaths, the data should indicate that the data covers the period from March 2020 to January 2021 (as an illustration).

Update Frequency

If the data is expected to be updated, the data catalogue should indicate to the user how often this data would be updated. For example, daily, monthly, yearly, or any other frequency. If the data is supplied in real-time, the catalogue should also indicate this. Certain datasets, such as maps or other reference datasets, might not be updated on a regular basis or at all, and this information should also be indicated to the user.

File Format

In addition to the importance of publishing open data in a machine-readable format, it is equally important to indicate to the end-user what format exactly is available for download. Examples include CSV, XML, and JSON. 

Name and Contact Details of Person or Department

For big organisations, it is important for the end-user to have the contact details of the person or department responsible for the dataset in question. This is useful from a data validity point of view, but can also assist end-user that seek clarifications and those who would like to report errors found in the data.

Metadata

In addition to the general description details of the dataset, the catalogue should include a description of each field in the dataset explaining the content of that field and the format of the data provided in that field. For example, if the dataset has a name field, the catalogue must indicate if this will be provided in the Arabic or English language, and if the dataset has a date field, the catalogue must indicate the date format in which this will be provided (e.g. YYYY-MM-DD).  

Example

The points explained on page can be used to transform the example shown above to become a more useful listing as follows:

Dataset Description

TitleNumber of hospitals and beds in the Governorate of Dakhiliya
DescriptionThis dataset provides the details of the hospitals in the Governorate of Dakhilya with the details of the number of beds in each hospital.
Period CoveredThis dataset captures the state of hospitals in this region in December 2020.
Update FrequencyYearly at the end of every year.
File FormatXLSX
ContactDirectorate General of Health in the Governorate of Dakhiliya.
Name: XXXX Email: [email protected]

Metadata 

FieldDescription
WilayatThe name of the Wiyalat in English.
Hospital Name – ARThe name of the hospital in Arabic.
Hospital Name – ENThe name of the hospital in English.
BedsThe number of beds in the hospital.

Each published dataset requires an individual description that provides the general information on the dataset, as well as an individual metadata table that explains what each field in the dataset refers to.

Categories
Blog

COVID-19 & GCC Data Portals

GCC countries have invested significant resources in developing national data portals, but most of these portals have yet to publish a single dataset relating to the biggest global pandemic of our lifetimes, COVID-19. Instead of utilising their familiar and tested platforms for releasing data, GCC countries launched independent dashboards for making COVID-19 data available to the public. The issue with this approach is that these new dashboards fail to comply with the most basic principles of open data. This has limited the ability of members of public to use this data in ways that would otherwise have contributed to managing the crisis.

Categories
Blog

COVID-19 and Open Data

The Omani government has reacted swiftly to the COVID-19 pandemic and has shared with the public substantial amounts of data in regard to the cases, recoveries, deaths, and vaccinations. However, regrettably, the COVID data published by the Omani government does not comply with the majority of principles of open data, and this limits the benefits and utility of this data.

Categories
Datasets

International Agreements

Oman has signed a significant number of international agreements with countries and international organisations on a variety of matters ranging from taxation and investment, to human rights and the environment. This dataset provides a list of the international agreements that Oman has ratified by royal decree from the year 1974 onwards. The dataset includes the title of the agreement, details of the ratification royal decree, the date of signature, the classification, the counter-party, and the subject.

Dataset Description

SourceThis dataset is based on the open data published on Duwaly.gov.om, and later independently updated from the data published on Qanoon.om.
Time period covered1974 to 2021.
Frequency of updateYearly

Metadata

FieldDescription
CodeSerial code to identify the treaty.
Title – ARThe title of the treaty in Arabic.
Title – ENThe title of the treaty in English.
Royal Decree NoThe royal decree number in the format of YYYY-NNNN where YYYY is the year in a four-digit format and NNNN is the sequence number in a four-digit format.
Royal Decree DateThe date on which the royal decree was issued in the format YYYY-MM-DD.
Signing DateThe date on which the treaty was signed in the format YYYY-MM-DD. This usually is only available for bilateral treaties.
ClassificationThe classification of a treaty as bilateral, closed multilateral, or open multilateral. Bilateral treaties are signed between two states. Closed multilateral treaties are treaties signed by more than two states and open only to a select group of states. Open multilateral treaties are treaties that are open for any state to join.
Counter-partyThe counter-party to a treaty. This applies only to bilateral treaties.
SubjectThe subject of a treaty. This applies only to bilateral treaties.

Data

wpDataTable with provided ID not found!
Categories
Blog

New Omani Government Policy on the Use of Artificial Intelligence

Today, the Ministry of Transport, Communications, and Information Technology issued a new policy on government use of AI technology. Similar to other policies issued by the MTCIT, this document is not legally binding it is essentially a form of instructions and recommendations for government entities.

The policy appears to have been finalised last June and is addressed to government entities only. It sets out six very high level principles for the use of AI: inclusiveness, human-centrism, accountability, fairness, transparency, and safety.

The key concrete policy provisions include:

  • A requirement to undertake a risk assessment in regard to the use of AI (but no details as to when such a risk assessment should be done, if it is a one-off requirement or a periodic requirement).
  • A requirement to ensure that no AI bias takes place and disclose to those affected by the AI system of the existence of such a system and the impact it may have on them.
  • A requirement to obtain prior approval of those affected by the AI system.

The policy also briefly mentions a requirement to comply with open data policies.

You can read the Arabic version of the policy on this link.

Categories
Datasets

COVID-19

This dataset covers the key COVID-19 corona virus data, such as cases, recoveries, deaths, and hospitalisation, as published by the official Omani government COVID-19 twitter account.

Dataset Description

SourceOmanvsCOVID19 Twitter account.
Time period covered15 March 2021 to date.
Frequency of updateWeekly.

Metadata

FieldDescription
DateThe date on which the COVID-19 data was reported in the format YYYY-MM-DD.
New CasesThe number of newly confirmed individuals infected with COVID-19.
New Cases -OmaniThe number of newly confirmed individuals of Omani nationality infected with COVID-19.
New Cases – non-OmaniThe number of newly confirmed individuals of non-Omani nationality infected with COVID-19.
Total Reported CasesThe number of confirmed COVID-19 cases since reporting started.
New TestsThe total number of new COVID-19 tests that have been carried out.
Total TestsThe total number of COVID-19 tests since the reporting of tests started.
New DeathsThe total number of newly confirmed COVID-19 deaths.
Total DeathsThe total number of COVID-19 deaths since reporting started.
New RecoveriesThe number of newly recovered individuals infected with COVID-19.
Total RecoveriesThe total number of total recoveries of individuals infected with COVID-19 since reporting started.
New AdmissionsThe number of COVID-19 patients newly admitted to a hospital within the last 24 hours.
Current AdmissionThe total number of COVID-19 patients currently in admission at a hospital.
Current ICU AdmissionThe number of COVID-19 patients admitted in an intensive care unit at a hospital.
SourceA link to the tweet publishing the data for the relevant date.

Simplified Dataset

wpDataTable with provided ID not found!

Visualisation

wpDataChart with provided ID not found!

Full Dataset

wpDataTable with provided ID not found!

Notes

The dataset has gaps due to the government’s decision at a later stage to reduce the amount of information released and to suspend reporting on weekends and national holidays. You can read our blog post on this issue here.

Categories
Blog

Open Data Journalism in Oman

Journalism has seen an increasingly growing trend of using data to produce stories, enhance reporting, and enable cross-checking. The trend is designed to increase the accuracy of reporting and ultimately win over the public’s trust. Coined as “data journalism”, this newer form of news reporting involves broad practices from using big data or open data in order to uncover stories, to using analytics and coding in order to identify relationships and predict future trends.

Supported by the government’s open data efforts, Oman is riding the data journalism wave and witnessing a paradigm shift in its local journalism. This is seen from young independent journalist’s shift away from conservative reporting that relies on publishing official statements towards investigative reporting. With this new approach, independent journalists go on fact-finding missions relying on open data sources to explain government decisions and to provide its readership with greater context in a simple and digestible manner.

Atheer and WAF are two independent Omani news outlets that have written investigative pieces using what are effectively open datasets. In one piece, Atheer examined the relationship between the newly established Private Office and the Diwan of Royal Court by analysing all royal decrees issued from the 1970s onwards that either determined or modified the mandate of the Diwan of Royal Court. The research for this piece was conducted using Qanoon.om, an independent website for publishing royal decrees in open format. Qanoon.om relies on data from the official website of the Ministry of Justice and Legal Affairs which, although does not publish its data in technically open format, does make them available free of charge. The piece by Atheer would not have been possible without the government data published by the Ministry of Justice and Legal Affairs, and the government data proved to be useful despite not satisfying the technical standards for open data. In another piece, WAF examined the expansion in government-owned companies in the former five-year plan by analysing company data from the website of the Ministry of Commerce, Industry, and Investment Promotion and the website of Muscat Clearing and Depository and then commenting on this government trend.

Although we have yet to see sophisticated forms of data journalism in Oman that rely on analytics or other advanced data methods, open data journalism has proved to be a significant enabler of the Omani government’s primary vision – the development of an empowered knowledge-based society. Wider adoption of open data through the release of more datasets that are free of charge and in easily processable formats would no doubt continue to directly contribute to a richer journalism industry.