An independent academic project founded in 2012, the Electoral Integrity Project addresses three questions: How and when do elections fail throughout the electoral cycle? What are the consequences of failed elections, such as for security, accessibility and trust? And what can be done to mitigate these problems, based on academic evidence? The Electoral Integrity Project produces innovative and policy-relevant research comparing elections worldwide.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 26 Results
Aug 10, 2018 - Perceptions of Electoral Integrity Dataverse
Norris, Pippa; Wynter, Thomas; Cameron, Sarah, 2018, "Perceptions of Electoral Integrity, (PEI-6.5)", https://doi.org/10.7910/DVN/VEWJQI, Harvard Dataverse, V1, UNF:6:aboFTe+X2B5wXrtsrmKLig== [fileUNF]
This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-6.5 cumulative release covers 310...
Mar 1, 2018 - Perceptions of Electoral Integrity Dataverse
Norris, Pippa; Wynter, Thomas; Cameron, Sarah, 2018, "Perceptions of Electoral Integrity, (PEI-6.0)", https://doi.org/10.7910/DVN/Q6UBTH, Harvard Dataverse, V1, UNF:6:FRhhqKiwN6fQXqdTvQkaTg== [fileUNF]
This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-6.0 cumulative release covers 285...
Oct 13, 2017 - Perceptions of Electoral Integrity Dataverse
Norris, Pippa; Wynter, Thomas; Grömping, Max, 2017, "Perceptions of Electoral Integrity, (PEI-5.5)", https://doi.org/10.7910/DVN/EWYTZ7, Harvard Dataverse, V2, UNF:6:orsycndtUZPrE58BWhCdtg== [fileUNF]
This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-5.5 cumulative release covers 260...
May 2, 2017 - Perceptions of Electoral Integrity Dataverse
Norris, Pippa; Grömping, Max, 2017, "Perceptions of Electoral Integrity, (PEI-5.0)", https://doi.org/10.7910/DVN/KI5WB4, Harvard Dataverse, V1, UNF:6:RIRLjEG5jWANoJgXAG7lMQ== [fileUNF]
This data-set by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-5.0 cumulative release covers 24...
Dec 15, 2016 - Perceptions of Electoral Integrity Dataverse
Norris, Pippa; Nai, Alessandro; Grömping, Max, 2016, "Perceptions of Electoral Integrity - US 2016 (PEI_US_1.0)", https://doi.org/10.7910/DVN/YXUV3W, Harvard Dataverse, V1, UNF:6:1cMrtJfvUs9uBoNewfUKqA== [fileUNF]
This data-set by the Electoral Integrity Project evaluates the integrity of the US presidential election held on 8 November 2016. Based on a survey collecting the views of US-based political scientists, this research provides independent and reliable evidence to assess whether the 2016 presidential election met international standards of electoral...
Dec 4, 2016 - Perceptions of Electoral Integrity Dataverse
Norris, Pippa; Martinez i Coma, Ferran; Nai, Alessandro; Grömping, Max, 2016, "Perceptions of Electoral Integrity-Mexico, (PEI-Mexico 2.0)", https://doi.org/10.7910/DVN/YJW0AQ, Harvard Dataverse, V1, UNF:6:+lLE/ZN47/GcqJ11a/ReTQ== [fileUNF]
The Perceptions of Electoral Integrity-Mexico (PEI-Mexico) is based on an expert survey comparing the quality of elections in the June 2016 gubernatorial contests and the 2015 provincial contests. Data was collected in 31 states of the Mexican Republic which held gubernatorial elections and state legislative elections. About 1320 experts on Mexican...
Aug 18, 2016 - Perceptions of Electoral Integrity Dataverse
Norris, Pippa; Martinez i Coma, Ferran; Nai, Alessandro; Gromping, Max, 2016, "Perceptions of Electoral Integrity, (PEI-4.5)", https://doi.org/10.7910/DVN/LYO57K, Harvard Dataverse, V2, UNF:6:dYcaQxA/dze+6Q4cMRMv1w== [fileUNF]
This data-set by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-4.5 cumulative release covers 21...
Mar 8, 2016 - Perceptions of Electoral Integrity Dataverse
Norris, Pippa; Martinez i Coma, Ferran; Gromping, Max; Nai, Alessandro, 2016, "Perceptions of Electoral Integrity, (PEI-4.0)", https://doi.org/10.7910/DVN/NFD5U4, Harvard Dataverse, V1, UNF:6:R+rjiYQzoJ0LXg3KkKzzJg== [fileUNF]
This data-set by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-4.0 cumulative release covers 18...
Dec 16, 2015 - Perceptions of Electoral Integrity Dataverse
Norris, Pippa; Martinez i Coma, Ferran; Nai, Alessandro; Grömping, Max, 2015, "Perceptions of Electoral Integrity-Russia, (PEI-Russia 1.0)", https://doi.org/10.7910/DVN/8LYUAY, Harvard Dataverse, V1, UNF:6:vYH36AJ97SouQLbww76u7g== [fileUNF]
The Perceptions of Electoral Integrity-Russia(PEI-Russia) is based on an expert survey comparing the quality of elections in the September 2015 oblasts contests. Data was collected in 30 states of Russia which held gubernatorial elections and state legislative elections. Almost 550 experts on Russian elections were contacted, generating 172 respons...
Dec 13, 2015 - Perceptions of Electoral Integrity Dataverse
Norris, Pippa; Martinez i Coma, Ferran; Nai, Alessandro; Grömping, Max, 2015, "Perceptions of Electoral Integrity-Mexico, (PEI-Mexico 1.0)", https://doi.org/10.7910/DVN/O6UCIM, Harvard Dataverse, V5, UNF:6:kEgO8gFqfSq73HhYhW7RxQ== [fileUNF]
The Perceptions of Electoral Integrity-Mexico (PEI-Mexico) is based on an expert survey comparing the quality of elections in the June 2015 provincial contests. Data was collected in 17 states of the Mexican Republic which held gubernatorial elections and state legislative elections. Almost 700 experts on Mexican elections were contacted, generatin...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.