Compiling a Resource List of Query Terms for Open Data Discovery
The Germany's Open Data Portal has recently made a significant release, unveiling a dataset containing over 750,000 user queries. This extensive dataset, spanning from April 2016 to November 2019, offers valuable insights into the public's interest in various data.
Each query in this dataset is accompanied by a timestamp, ensuring a precise understanding of when each search was made. It's important to note that each query in the dataset has at least two characters, indicating a specific and focused nature of the searches.
The dataset does not reveal the identities of the users who made the queries, nor does it include any personal information about the users. The data does not specify the type of data that the queries were made for, leaving room for interpretation and analysis. Moreover, the dataset does not contain advertisements.
The release of this dataset has piqued the interest of a wide range of organisations. Potential users of the dataset include public entities delivering open data (around 696 uniquely identified organisations in GovData), research infrastructures like the German National Research Data Infrastructure (NFDI), digital and IT-focused municipal organisations such as KGSt, civil society and transparency advocates like the Open Knowledge Foundation Germany, policy and administration leaders engaged in cross-organisational data use, and international or thematic research and energy think tanks such as Ember.
The data can aid governments and other organisations in determining user interest in specific data, providing valuable insights into public curiosity and demand. The individual featured in the image is Jonathan Gray, who may have contributed to one of the 750,000+ queries in the dataset.
In conclusion, the release of this dataset offers a unique opportunity for organisations and researchers to delve into the public's interest in data, providing valuable insights into public curiosity and demand. The dataset's comprehensive nature and precise timestamps make it a valuable resource for those interested in understanding the public's data-related interests.
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