# Contextual Data Collection for Smart Cities

## TL;DR

This paper proposes a schema and architecture for managing urban sensor data and metadata to improve data reuse and understanding in smart city initiatives, demonstrated through a case study in Fortaleza, Brazil.

## Contribution

It introduces a metadata schema and leverages HASNetO ontology to enhance urban data management and reuse in smart cities.

## Key findings

- Schema facilitates better data understanding and reuse.
- Architecture supports efficient management of urban sensor data.
- Applied successfully in Fortaleza, Brazil.

## Abstract

As part of Smart Cities initiatives, national, regional and local governments all over the globe are under the mandate of being more open regarding how they share their data. Under this mandate, many of these governments are publishing data under the umbrella of open government data, which includes measurement data from city-wide sensor networks. Furthermore, many of these data are published in so-called data portals as documents that may be spreadsheets, comma-separated value (CSV) data files, or plain documents in PDF or Word documents. The sharing of these documents may be a convenient way for the data provider to convey and publish data but it is not the ideal way for data consumers to reuse the data. For example, the problems of reusing the data may range from difficulty opening a document that is provided in any format that is not plain text, to the actual problem of understanding the meaning of each piece of knowledge inside of the document. Our proposal tackles those challenges by identifying metadata that has been regarded to be relevant for measurement data and providing a schema for this metadata. We further leverage the Human-Aware Sensor Network Ontology (HASNetO) to build an architecture for data collected in urban environments. We discuss the use of HASNetO and the supporting infrastructure to manage both data and metadata in support of the City of Fortaleza, a large metropolitan area in Brazil.