1) Put it on figshare or github. Your website might be dead next year. Those services have a better chance of survival. 2) CSV, JSON works fine if your dataset

1) Put it on figshare or github. Your website might be dead next year. Those services have a better chance of survival. 2) CSV, JSON works fine if your dataset is just a few numbers and strings. GitHub will preview csv files as HTML tables. 3) If you need the efficiency of binary data and more robust data containers I would look into - Parquet https://parquet.apache.org/documentation/latest/ https://parquet.apache.org/documentation/latest/ and - Arvo http://avro.apache.org/ http://avro.apache.org/ http://blog.cloudera.com/blog/2009/11/avro-a-new-format-for-data-interchange/ http://blog.cloudera.com/blog/2009/11/avro-a-new-format-for-... 4) DataScientists work with R/Pandas "DataFrames". If you are familiar with either one, import the data into a data frame and use an export method to do the serialization for you: https://pandas.pydata.org/pandas-docs/stable/api.html#id12 https://pandas.pydata.org/pandas-docs/stable/api.html#id12