Data governance

Batapa-Sigue: ‘Odette’ pushes data governance

HOW are we building a comprehensive data visualization and analysis portal for national and local development in the Philippines, to limit the number of variables in each situation? This question torments me constantly, and now even more so with the extent of the damage “Odette” has caused in many parts of the Visayas, and parts of Luzon and Mindanao. How can we leverage data, especially demographic and social statistics for predictive analytics and prescriptive analytics, especially in the aftermath of a big storm like ‘Odette’.

My research this year has shown me how the nations of the 21st century must constantly keep pace with the rapid pace of innovation and meet the rapidly changing demands of society in the digital age. The citizens of the Fourth Industrial Revolution demanded more responsive, relevant and faster services from their governments.

As the mandates of the general public remain almost the same all over the world, governments need to rethink and redesign the way they do things. Slow, inaccurate and unnecessary government programs are no longer just acceptable. Therefore, data-driven approaches to creating and designing government programs and policies must be in place to meet citizen expectations and rethink how governments and their constituents engage with each other.

Data has a very important role to play in identifying and implementing programs and policies that will improve socio-economic conditions, strengthen public services, efficiently spend public resources and raise the quality and level of service. public.

It is said that the capacity of government should not remain static; it must adapt to societal and technological developments. Governments must anticipate, adapt and mitigate these change processes as part of their innovation.

To this end, the Philippines must create and strengthen clear and effective data-driven public sector frameworks that can help our cities, municipalities and provinces, as well as the country, to identify, design, assess and evaluate the necessary elements or parameters. to collect, store, analyze, use, reuse or share data to make informed decisions.

Data-driven decision making is emerging as a formal discipline all over the world in all areas of life, in different industries. But this study agrees with many of its precursors and proposes that the use of data will result in a wider impact when practiced by the public sector.

I am undertaking a study, among several initiatives for 2022 in the area of ​​innovation, to establish a case for a unified data governance framework for the Philippines in the advent of big data. With the voluminous amount of data collected and stored every day through public channels, from local to national level, supports the urgency of data-driven governance. But first, the government must develop and institutionalize a clear set of data analysis strategies to obtain information that can support the development of evidence-based decisions leading to effective programs and policies.

This set of strategies begins with the development of a data governance framework to ensure quality indicators in the collection, storage, analysis, use and reuse of data. It will also cover the process and ethics behind data mining and visualization.

To create a data governance framework, one must first understand the data cycle in the public sector in each country. A Data-Driven Public Sector: Enabling the Strategic Use of Data for Productive, Inclusive and Trusted Governance ”introduced the idea of ​​the government data value cycle. This cycle is mainly composed of major phases namely, 1) data collection and generation; 2) storage, security and processing of data; 3) data sharing, storage and publication; and 4) the use and reuse of data (van Ooijen, Ubaldi & Welby, 2019).

The application of data in government has almost unlimited potential to improve governance and performance in the public sector and, therefore, generate public value.

The research will focus on understanding the data cycle of the public sector or various countries, the nature, patterns, structures and consequences of data processing in the public sector at different stages, which collect and generate data; storage, security and processing of data; sharing, storing and publishing of data; and use and reuse data.

But even before that, there is a need to review existing laws and policies on privacy and data protection and also determine if there are any laws that govern data sharing between government agencies to identify the extent and the impact of interoperability.

Having established the data cycle, we need to identify ways to establish and institutionalize standards for effectively using data in policymaking down to the local government level through a data governance framework. A data governance framework creates a unique set of rules and processes for the collection, storage, and use of data. This will help the country to create a dashboard for disaster management to effectively plan, prescribe and deploy interventions holistically and in real time and not piecemeal as we experience it today. I hope that it will not take many more “Odettes” before we can realize this vision.