Your Partner in Designing, Evaluating and Learning on Program and Policy

Getting to Know Data Revolution

revolusidata_logoData Revolution is a movement launched by United Nations to support monitoring of Sustainable Development Goals (SDGs) program.

Focusing four fields, namely Accessible Data, Sustainable Development Goals, Data Innovation, and Data Landscape, Data Revolution aims to strengthening data collection system by using information and communication technology, as well as community participation.

Monitoring on achievement of SDG targets needs meaningful data in supporting development decisions. The required data should be actual data collected at the moment before decision-making is carried out, instead of data from census conducted few months or even few years before.

Most of the current data cannot represent real condition well, which is a result of how they are collected. For example, data on school participation rate is collected from school enrollment number. Real number of students who actually study in schools may differ, however.

Another example is number of people infected by contagious disease. When progress of the case is not recorded hourly, but –for example- monthly, one may not know the exact number of people infected with the disease and exact time of when they are cured.

By implementing Data Revolution, anyone can read and understand a case or incident chronologically – from the beginning, its progress from time to time, and to the end.

That kind of data is important for public servants or volunteers to make immediate action or solution as to prevent problems from getting more severe or chronic.

Data Revolution’s work pattern is now supported by advanced information and communication technology which offers various supports for data collection innovations.

Other opportunities are available for implementing Data Revolution, such as system of provision of public services that in involve community volunteers or cadres in order to make data collection process faster.

Difference of Data Revolution and Conventional Data

Conventional Data Data Revolution
Data are represented in aggregated data form Data are represented in single (dis aggregated) and aggregated data forms.
Data are collected all at once. For example, data is produced from census, which is conducted every 5 years. Data are produced incrementally, instead of being produced all at once. Every incoming new data is automatically aggregated by computer.
When data update is needed, it must be conducted to all data all at once. Update data can be conducted anytime when needed to specific data (that needs update) only.
On verification for purpose of improving data quality, it is not easy to retrace data. Tracing/verification of data is easier because it is conducted on single data.

For development, Data Revolution is useful to boost government in making decision. For example, an area known for its problem of high population of high-risk pregnancy case experience higher rate than it usually has.

Government’s tardiness in identifying the needs of community groups in certain area for getting immediate priority in development occurs because government refers to conventional data.

Other function of Data Revolution is improving accuracy of development target, because its data present the latest condition of community as well as individual citizen. Inaccurate targeting in development planning or implementation may be due to the data that is not factual or actual.

On the other hand, Data Revolution is also useful for gathering public participation in development. Citizens can immediately help their fellows who are in difficult situation. Data and information supply from public can be used by government for survey study or census, thus it can reduce work budget.

Being actively campaigning Data Revolution, Sinergantara has developed pilot project of Data Revolution with government of Bojonegoro District, East Java.

The program is still running. It involves data collection in every dasa wisma or sub-village. Data of each dasa wisma is then aggregated automatically in every village.

Gradually, data from all villages will be aggregated automatically into district data.

Thus, for instance, when a mother gives birth, her baby will be registered in dasa wisma data collection system. The data is then automatically enters the district’s data system. Population data of Bojonegoro District will be immediately increased as well.

Bojonegoro District is the only region in Indonesia that is selected by Open Government Partnership (OGP) as one of their pilot project areas of the international movement. Result of the pilot project and implementation of Data Revolution is expected to be international model for Data for Development. (*)

This post is also available in: Indonesian

Leave a Reply

Current month ye@r day *