From 86ec5262514c705f03b342b9a310d55f119ae5d9 Mon Sep 17 00:00:00 2001 From: Boris Baldassari <boris@chrysalice.org> Date: Wed, 10 Feb 2021 12:11:42 +0100 Subject: [PATCH] #5 Fix contact links. Signed-off-by: Boris Baldassari <boris@chrysalice.org> --- website/content/eclipse_mls/mbox_csv_analysis.Rmarkdown | 2 +- website/content/page/datasets_privacy.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/website/content/eclipse_mls/mbox_csv_analysis.Rmarkdown b/website/content/eclipse_mls/mbox_csv_analysis.Rmarkdown index f3f53f5..063eb6e 100644 --- a/website/content/eclipse_mls/mbox_csv_analysis.Rmarkdown +++ b/website/content/eclipse_mls/mbox_csv_analysis.Rmarkdown @@ -51,7 +51,7 @@ All of them are updated weekly at 2am on Sunday. ## Privacy concerns -We value privacy and intend to make everything we can to prevent misuse of the dataset. If you think we failed somewhere in the process, please [let us know](mailto://boris@chrysalice.org) so we can do better. +We value privacy and intend to make everything we can to prevent misuse of the dataset. If you think we failed somewhere in the process, please [let us know](mailto:boris@chrysalice.org) so we can do better. All personally identifiable information has been scrambled using the [data anonymiser](https://github.com/borisbaldassari/data-anonymiser) Perl module. As a result there is **no clear email address** in this dataset, **nor any UUID or name**. However all identical information produces the same encrypted string, which means that one can still identify identical data without knowing what it actually is. As an example email addresses are split (name, company) and encoded separately, which enables one to e.g. identify posters from the same company without knowing the company. diff --git a/website/content/page/datasets_privacy.md b/website/content/page/datasets_privacy.md index d6f226d..1a1f610 100644 --- a/website/content/page/datasets_privacy.md +++ b/website/content/page/datasets_privacy.md @@ -19,7 +19,7 @@ The intended audience of the datasets is composed of: * Research laboratories, mainly in the field of software engineering. * Software engineering practitioners, who may find useful to have real-world examples of software development projects. -Should one have questions or remarks on the datasets, please [feel free to contact us](mailto://boris@chrysalice.org). All cases related to privacy will be handled with utmost diligence. +Should one have questions or remarks on the datasets, please [feel free to contact us](mailto:boris@chrysalice.org). All cases related to privacy will be handled with utmost diligence. ## Description of the datasets -- GitLab