The topic for my dataset is one of the biggest topics in everyone’s
lives, but gets talked about too little in proportion to its significance,
probably due to the difficulty many have with it: death. Of course, since there are so many
differently angles from which death can be discussed, this prompted me to try
and include as many of these angles as possible in my dataset. For example:
-
Witnesses
to death
-
The
afterlife
-
Justifications
for death
-
Murder
-
Suicide
-
Genocide
-
War
-
The
bereaved
Because of this sprawling approach to the topic, I decided that I
would focus on the literature, film, painting, history, etc. that I have
already studied and collected in my life. While I of course have prior familiarity with
all of them, I have never made a concerted effort to look at this common
thread through these materials as a whole. As
such, it was interesting to see the variety of works I knew that I could bring into this dataset. I can’t say that I ever
thought I would be grouping together Beetlejuice,
the Bible, the Zodiac Killer, and Yukio Mishima.
As an American who grew up in North Carolina, Finland, and Ohio, I
unsurprisingly have a more-or-less Eurocentric viewpoint that heavily biased my
dataset to works from, the history of, and the predominant religions of Europe
and the Americas. Because of this, I did
make a concerted effort to draw on my background in Asian Studies, as well as
my ongoing self-education in international politics, news, and history, to
bring in works, images, and events from the world outside of Europe and the
Americas. This was not too difficult
when it came to Asia, since I have made concerted studies in that area, but I
still feel that Africa and Oceania are not as represented as I would have liked
for them to be, as well as parts of South America, since I am more familiar
with North and Central America. This
dearth is especially true of religious works, images, and events, as I am
nowhere near as familiar with non-Eurocentric religions as I would like to be.
The majority of my materials were found on Wikipedia (as well as
other Wikimedia Commons sites), Project Gutenberg, Google Books, sing365.com, IMSDb,
and darklyrics.com. The rest were all
found on various blogs and other web sites via searching on Google. And I must mention, I do wish Google Books
had better support for downloading plain text files, as I found two medieval works
I wanted from there to be illegible when I used OCR on the PDFs I downloaded. And if it weren’t such a time-consuming pain
(and if it weren't for half of them being on blu-ray, which has horrendous DRM), I would have
loved to rip many of the films I own on disc to have included in my dataset;
instead, I’m settling on just the scripts.
To download a copy of my dataset as a zip file, click here.