Year 2018 Apply

Big Data

Background:

Provincie Noord-Holland owns a wealth of data. We have developed a ‘Datalab’ program to first of all help us to develop an institution-wide sense of the added value of the data we own. Secondly it contributes to gaining insight into the knowledge needed to capitalize on that added value. Finally, it contributes to finding out which technical preconditions must be met in order to meet our Data Excellent ambition, to work more data driven and to become a serious partner for citizens, businesses, and other governments in North Holland when it comes to data by 2021.

In the Datalab we use a data-driven method to work on provincial issues. This is done by linking and analyzing various data sources, both from our own organization and from partners.

The challenge:
We are looking for a tool for collecting, analyzing, visualizing and collaborating on data with other organizations.

We want to gain knowledge and experience on the following topics:

  • collecting, processing and combining large data volumes (big data);
  • (new) data analysis techniques and applications;
  • visualizing the outcomes in different ways;
  • collaborating with partner organizations in the data area.
  • For examples of Provincial Data  look below.

The Datalab is concerned with big data, sensor data, machine learning, 3D, linked data, augmented- and virtual reality, data visualization, business analytics, and business intelligence. We are looking for ideas, innovations, tools etc. that can translate (parts of) our data into information for our employees, residents, and other organizations.

Examples of Provincial Data ( and their potential value):

Environmental Quality and Big Data

Measurement data on for example particulate matter, nitrogen dioxide, soot, ozone and odor, used to give residents of Noord-Holland access to data about the environmental quality → How to unlock data in an innovative and interactive manner?

Spread of Small Mammals

For many years information has been collected by many volunteers on the occurrence of different types of mice. This is done on the basis of finds in owl balls → The data can be linked to geographical presentations and possible analysis can be made of the population development.

Roadkill Registration

Registration of road accident victims (fauna). This concerns time / location / animal species → Can we get insights in the most precarious locations?

Blooming Roadsides

Registration of ecological quality of the roadside→data gathered in an app, e.g. by means of pictures taken on mobile phones

Bats and Bridges

Registration of locations where bats live → Can this be improved and how can data be processed?

Spread of Meadow Birds

There’s data of decades of research on the spread of meadow birds → Can we find a way to present developments of the last 30 years with the help of GISanalysis?

Financing of nature reserves

The province invests a lot of money in nature reserves → Can it be visualized where money streams go and what their yield is?

Monitor for Travel Times

The Province itself has a large amount of (real-time) public transport data and road traffic data (NDW, Nationale Databank Wegverkeersgegevens) → Can this be used to produce insights on travel times for people who use public transportation?