I chose the data set Planned Plantings- City Trees (Planting Sites). I could not find the creator or contributors of the data set. The department is called Forestry It demonstrates mapped planting sites that have been inspected for planting pending funds from the Aldermanic Ward Funds. It helps allow them to organize the data about the planting sites in order to evenly disperse the funds. It allows them to be able to see the requests in chronological order, to make sure the older planting requests are not being overlooked. Each ward gets their planting requests first, but if there are extra funds, they will be used in places not requested in order to plant more trees for the community.
The data is structured in 10 different categories. From left to right they are; address, city tree guid, current condition of site, date inspected, IS request, location, location type, on {road}, request ID, and ward number. They way the organized the data has allowed them to use it effectively. They need to know the dates of requests in order to make sure older ones are not being overlooked. It can also give the workers insight on the condition of the site they will be planting on. It helps the workers tremendously by allowing them to easily access the information. They can have all the data on one spreadsheet. They can find the location, and location type in order to figure out how to do their best work.
I can not find any information on the creators of this datasheet. However, I have learned that it is important to do at least some kind of cleaning when it comes to data. You need to make sure your spelling, and organizational skills are superb. If they did not choose to clean the data. It could have been hard for a viewer to understand what was going on. Additionally, too much data cleaning can result in leaving too much crucial information out of the data, leaving the viewer confused.
The creators are concerned with tree planting in and around the St. Louis region. Since they are well informed on the topic, they know the information they needed to add to make this data sheet make sense for their work. The creators goals and identities involved in creating the data set could have shaped the data intentionally and inadvertently. As mentioned prior, they know the information they need to do their work, but they also may not be aware of the information that the public wants out of this data sheet. For example, cost is not listed in the data sheet, neither is the reason for choosing these specific areas. The public could use this data in order to see how their community is expanding within tree plantings. It can show them that there are people doing work to better their community.
This data can help us understand the complex dynamic of the Missouri Botanical Gardens and all of the surrounding communities because it gives a good example of organization skills. It shows records of when things were done and gives a description of the area in which these things are taking place. We can use this when working with MOBOT because it shows us how important it is to give descriptions with things. In our case, it can show us the importance of showing the hidden knowledge that is all around the garden.