Special Track 8

Special Track 8

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Title: Towards a data-driven economy: Data Mexico

Track Chairs:

Luis Godoy, Ministry of Economy, Mexico

Ana Cruz, Ministry of Economy, Mexico

Fiorentina Garcia, Ministry of Economy, Mexico

Author keywords:

data-driven innovation

data collaboration

Data Governance

datafication from the public sector



To create knowledge, it is not enough to open the data; it is necessary to add value. After a period of policies focused on opening data, the Ministry of Economy in Mexico decided to move to the next level and developed Data Mexico (datamexico.org). This digital platform integrates, visualizes, and analyzes data among economics, employment, education, health, and security to improve public policy decision making focused on innovation, inclusion, and diversification of the Mexican economy. By December 2020, Data Mexico has more than 13,000 profiles that have been built on the existing infrastructure of the public and private sectors. This data collaboration between the Ministry of Economy and other actors in the public, private and social sectors have prompted Data Mexico to develop a common framework that allows the interoperability of relevant data for the Mexican economy.

In this special track, we want to explore the experience of data-driver innovators in the collection, opening, integration, analysis, and visualization of multiple sources of information from the public, private and social spheres. Especially the experience in Business-to-Government (B2G) data collaboration. From Data Mexico, we have identified a supply chain that starts with a diagnostic program to get the required data, an identification of the main data owners, and later, a collaboration with them on data sharing practices.

Data Mexico has taken a leadership role in integrating multiple data sources from different stakeholders, telling stories that in the past were not possible to explore due to lack of interaction. In this Special Track, we will explore challenges of data-driven innovators such as access to information, data quality in the collection processes, different identification methods at different levels (geographical, sectorial, and personal identification) which results in the exploration of different techniques to anonymize sensitive data.

Our special track also seeks to bring attention to the process of disseminating data-driven innovations. With Data Mexico, we have undertaken good practices to reach our three types of users: farmers, miners, and tourists. Farmers are those who use the platform regularly to feed their analyses. In this category, we identify local governments, entrepreneurs, and investors, for them we have designed a series of webinars and virtual training to show them how they can use Data Mexico as a source of information for data-based decision making. The miners are the ones who specialize in the use of the platform from a technical point of view for the download and massive consumption of the data. As miners, we have identified data scientists, academics, entrepreneurs with business intelligence areas. For this group of users, we have developed collaborative events for the collective exploitation of the data. Finally, tourists visit the platform sporadically to find data of their interest. In this category are the citizens and to reach them we have articulated a communication campaign in social networks and blogs that disseminate data based on the social situation.

A project based on data collaboration driven by the public sector is not sustainable without data governance. This is necessary to have a coherent implementation and coordination, as well as to strengthen institutions with regulatory, capacity, and technical foundations. Data governance will allow collaboration to have better control and management of the data value cycle. This special track also seeks to understand what the way is to build from the government in coordination with the private sector, academia, and other actors the data governance as a mutual agreement.

We hoped that this Special Track on data-driven innovation can be attractive to decision-makers interested in understanding how to take advantage of data integration for the provision of strategic information to local governments, businesses, and investors. And also, how data collaborations contribute to the creation of public value.

We propose to focus this track on case studies that provide more insight and best practices into the .data-driven innovation and data governance in the public sector. Topics in this special track include, but are not limited to:

  • Public sector as a data-driven actor
  • Data collaborations for the integration of data
  • The datafication from the public sector
  • Business-to-Government (B2G) data collaboration
  • Evaluation of a data-driven innovator such as Data Mexico
  • The value of effective anonymization in data integration
  • The path for a holistic data governance

We will accept full paper submissions and extended abstracts for presentation at the conference.

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