Data Management Plan
| About this File | Expected Data and Formats | Documentation and Metadata | Organization and Storage | Sharing, Publication, and Archiving | Accessibility |
about this file
This file is a collection of newspaper sections about women’s participation in the workforce in Oregon, which have been gathered from the University of Oregon’s “Historic Oregon Newspapers” website.
expected data and formats
The expected formats of my data are digitized newspaper articles, I will save them as plain text files in order to process them using ‘Text Edit’, and then they will be saved as plain text files in a folder on my desktop. I will upload this data to GitHub so that it can easily be accessed by anyone who would like to look at it.
documentation and metadata
My naming convention for my files helps to describe the data I am using so that others can find it. I will document any changes made to these files, such as the conversion of older spellings of words into more modern spellings, in my project log on GitHub. I will edit my data with TextEdit and then upload it to Voyant, where it will be analyzed, and I will document stopwords used in Voyant on my project log On GitHub.
organization and storage
I am using “year.month.date_nameofnewspaper_sectiontitle” for my files. My files will be saved in a folder on my desktop, as well as on GitHub. I created a folder in google drive where I will upload my files at the end of the day each time I work on them. I originally began with the name of the newspaper at the beginning but found that as I wanted to sort them by date, this would not work. An example is “1912.02.25_thesundayoregonian_betterlawsforwomen.txt”. Many of these file names can get pretty long as the titles can be long, but I would prefer for them to be longer and more specific. The papers through 1923 are available through the public domain but will be cited, and for those after 1923, I will cite and use a fair use assessment. I ended up organizing my data into an unsorted file, as well as sorted files to make them easier to analyze.
sharing, publication, and archiving
All of my data will be uploaded to Voyant, and analyzed, but I will make my data accessible through GitHub so that others can look at the files that I have processed and uploaded to Voyant.
accessibility
To make this data accessible, I will use large fonts with contrasting colors that are not difficult to read against one another and will use a color palette that is friendly for people who are colorblind. I will also use bold fonts, headers, and alt text on my static page.