"Open data is data that can be freely used, re-used and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike".
What to expect from this library guide open data search?
In this library guide you are following a research process of open data search. You will get more information about the data lifecycle, data repositories and the use of open datasets in your assignments.
The library guide consists of the following information:
- What data do I need?
- How do I find datasets?
- How can I use datasets?
- How can I cite datasets?
- How do I evaluate datasets?
For whom is the library guide useful?
The library guide open data search is useful for students of Hanze UAS in the economic or financial domain and might be the start of exploration of the search of open data. The guide is not comprehensive, but gives you a first insight in open data search.
Steps in the data lifecyle:
Metadata describe basic characteristics of the data, such as who created the data and what the data file contains. Metadata make it easier for you and others to identify and reuse data correctly at a later moment. You can provide basic human-readable or advanced machine-readable metadata. In both cases there are standards that you can choose to use.
A DOI, or Digital Object Identifier, is a string of numbers, letters and symbols used to permanently identify an article or document and link to it on the web. A DOI will help your reader easily locate a document from your citation. Think of it like a Social Security number for the article you’re citing — it will always refer to that article, and only that one. While a web address (URL) might change, the DOI will never change.