Open Data
Description:
Open data refers to data that is freely available for anyone to access, use, and share. Open data can be found in various formats, such as csv tables or APIs, and is often made available through open data portals or websites. By making data openly available, governments and organizations can encourage innovation and improve decision-making.
Links:
https://data.europa.eu/en
https://data.gov.cz/datasets
https://github.com/opendata-mvcr/otevrene-formalni-normy
Keywords:
transparency, accessibility, metadata
Motivation:
As an public company, having your data open is brilliant because you are then transparent for general public. People then can make interesting apps or services based on your (public) open data and much more.
Requirements/Prerequisities:
knowledge about dataformats, knowleds of your data - correct and complete metada description si crucial
Level:
generic: high level abstract best practice, metalevel category (e.g. manage architectures)
Application domain:
Data science (analysis & visualisation)
Main phase:
Data Science: Preparation/Integration
Related literature:
HUYER, Esther. The Economic Impact of Open Data Opportunities for value creation in Europe. 1. 2020. ISBN 978-92-78-42108-3.
In which projects do/did you use this practice?
open data catalog, open data API, covid open data, nzis
Software Engineer, Data Analyst
0–2 years of experiences
Masaryk University
| 1. How do you rate the potential benefit for your projects? | 5 |
| 2. How often are you using that practice? | 4 |
| 3. What is the effort to introduce the practice in your project upfront? | 5 |
| 4. What is the effort to apply the best practice in your project daily basis? | 4 |
Questions 1, 3 and 4 (1 = Low, 5 = High)
Question 2 (1 = Never, 5 = Always)