Dataverse is a “data repository framework to share and publish research data”. The project uses the repository made available by Havard University at dataverse.harvard.edu because:
The project dataverse (which is a collection of datasets) is:
Click on +Add Data and New Dataset;
Add an English translation of the actual name of the resource that originally published the data and the URL (without http://) of the same resource separated by a |.
Historical Archive of Elections | elezionistorico.interno.gov.it
Add the metadata as following the norms detailed below.
Author should indicated their name and any other detail they wish to add.
The dataset must be described briefly (what do we find in the dataset?). The description should also include the URL of the resource and the URL of the scraper depository on the ScrapeOn repository. The description field accepts HTML tags.
Historical archive of Italian elections published by Italy's Ministry of Interior scraped from <a href='http://elezionistorico.interno.gov.it/'>elezionistorico.interno.gov.it</a>.
Code on GitHub: <a href = 'https://github.com/ScrapeOpen/elezionistorico.interno.gov.it'>github.com/ScrapeOpen/elezionistorico.interno.gov.it</a>.
Raw data (i.e. data as downloaded from the original source) should be uploaded in compressed folders. To avoid automatic unpacking of the archive append _ to the extensions (e.g. .zip_ or .tar_). The file name should start with raw_ followed by indication of the file type (e.g. csv, xlm) and brief indication that can help users navigate the different raw data archives.
raw_csv_20180304.zip_