Class Journal Week 4 - Revision history

Nstojan1: /* Natalija */ answered question

2024-02-08T08:06:36Z

‎Natalija: answered question

Hivanson: /* Hailey */ finishing q2

2024-02-08T07:53:20Z

‎Hailey: finishing q2

Hivanson: /* Hailey */ question 2 reflection

2024-02-08T07:52:32Z

‎Hailey: question 2 reflection

Hivanson: /* Hailey */ finishing q1

2024-02-08T07:49:06Z

‎Hailey: finishing q1

Hivanson: /* Hailey */ answering q 1

2024-02-08T07:47:45Z

‎Hailey: answering q 1

Kmill104: /* Katie */ fixing formatting

2024-02-08T07:05:19Z

‎Katie: fixing formatting

Kmill104: /* Katie */ answering questions

2024-02-08T07:04:57Z

‎Katie: answering questions

Msymond1: /* Dean */ added dean's answers

2024-02-08T06:59:11Z

‎Dean: added dean's answers

Ckapla12: finish journal

2024-02-08T04:50:10Z

finish journal

Ckapla12 at 03:33, 8 February 2024

2024-02-08T03:33:54Z

← Older revision		Revision as of 08:06, 8 February 2024
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	==Natalija==		==Natalija==
		+	#I think I'm most familiar with the ethics of data because of my education in the United States. Prior to attending school here, I never understood the importance of citing data. In Europe, especially in highschools this isn’t emphasized at all. When I moved to the United States, I struggled a lot with learning how to properly use information and give credit where it is due. Even though I believe I have gotten better with it, I know that I still struggle with it to this day just because there is so many ways to cite data. Through my classes, especially at LMU, I’ve learned a lot about how to properly use, share and access data which at times involved getting permission and licenses. Another skill I am familiar with is visualizing data. I think that taking STEM classes at LMU has given me the ability to understand data that is given in the form of visuals. Even during this class, I’ve seen how my confidence has developed in interpreting different kinds of graphs and charts presented.
		+
		+	#I would love to learn more about data analysis, I’ve seen how efficient it can be especially with large datasets. When I was working on this project, I got to explore GitHub which I found very interesting especially because it seems to be such a collaborative platform. I think that another thing I would like to learn more about is data conversion and interoperability. I never really understood the importance of formats and why we use some formats compared to others.

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 '''Name two of these core competencies that you want to know more about? Why?'''
 # Ethics, including citation of data. While I know that I can't plagiarize or copy-paste images without citation, I don't have a complete grasp on different licensing, as I'm not used to publishing things publicly on the internet. I would like to learn more about this such that I can avoid copyright infringement and use information fairly and effectively.
-# Databases and Data Formats. I do not know what a relational database is, nor am I certain whether I'm familiar or not with common data types that would be involved in a relational database.
+# Databases and Data Formats. I do not know what a relational database is, nor am I certain whether I'm familiar or not with common data types that would be involved in a relational database. Because I am clueless to most components of this competency, I think it would serve me well to comb through and learn more about it.
 ==Katie==

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 # Discovery and Acquisition of Data. Throughout my academic career at LMU, while not database-focused, I think I have learned how to find appropriate sources of information. I have learned about how to find academic papers specifically and what makes a good source versus a bad source for academic writing, and I think these skills are similar to and can be extended to discovery and acquisition of data.
 '''Name two of these core competencies that you want to know more about? Why?'''
 ==Katie==

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 '''Name two of these core competencies are you most skilled with (or which is most familiar to you)? Where and how did you gain the skills/become familiar?'''
 # Data Visualization. In class, with the graph of the day puzzles, we get to practice our data visualization skills. While I've never correctly guessed one of the graphs, I feel like my thought process is good for deducing what a graph could be or is comprised of and why.
-# Discovery and Acquisition of Data. Throughout my academic career at LMU
+# Discovery and Acquisition of Data. Throughout my academic career at LMU, while not database-focused, I think I have learned how to find appropriate sources of information. I have learned about how to find academic papers specifically and what makes a good source versus a bad source for academic writing, and I think these skills are similar to and can be extended to discovery and acquisition of data.
 '''Name two of these core competencies that you want to know more about? Why?'''

← Older revision		Revision as of 07:47, 8 February 2024
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	==Hailey==		==Hailey==
		+	'''Name two of these core competencies are you most skilled with (or which is most familiar to you)? Where and how did you gain the skills/become familiar?'''
		+	# Data Visualization. In class, with the graph of the day puzzles, we get to practice our data visualization skills. While I've never correctly guessed one of the graphs, I feel like my thought process is good for deducing what a graph could be or is comprised of and why.
		+	# Discovery and Acquisition of Data. Throughout my academic career at LMU
		+	'''Name two of these core competencies that you want to know more about? Why?'''

	==Katie==		==Katie==

← Older revision		Revision as of 07:05, 8 February 2024
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	2. I want to know more about Data Analysis and Data Visualization. I feel that these are two skills that go together well and both are needed to understand each other. I think these are both really important skills for not just those who work with data, but any person in their daily life. Knowing how to analyze data and how its visualized ensures that a person cannot be influenced by improper or biased representations of data.		2. I want to know more about Data Analysis and Data Visualization. I feel that these are two skills that go together well and both are needed to understand each other. I think these are both really important skills for not just those who work with data, but any person in their daily life. Knowing how to analyze data and how its visualized ensures that a person cannot be influenced by improper or biased representations of data.
		+
	[[User:Kmill104\|Kmill104]] ([[User talk:Kmill104\|talk]]) 23:04, 7 February 2024 (PST)		[[User:Kmill104\|Kmill104]] ([[User talk:Kmill104\|talk]]) 23:04, 7 February 2024 (PST)

← Older revision		Revision as of 07:04, 8 February 2024
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	==Katie==		==Katie==
		+	1. I would say I am most familiar with Discovery and Acquisition of Data, and Ethics, including citation of data. I have developed the skills required to discover and acquire data throughout my academic career. I would argue that this started when I first learned what an encyclopedia was and knew that in order to locate specific data, I would have to choose the corresponding book based on its letter. My AP Biology class was probably my first experience with locating data repositories in the scientific field and ensuring that it was a reputable and trustworthy source. My classes at LMU have helped me to further develop this skill. I would also I am familiar with the ethics surrounding data. This is another skill that I learned at a young age, which is the importance of your own intellectual property and not using another person’s. If you do use something that doesn’t belong to you, you must cite it. This applies to data repositories and citation of data. If you are going to take data from another source, you must cite it. This week has helped me learn more about proper accreditation for taking from another database and how it is important for both for those who run the database and those who use it.
		+
		+	2. I want to know more about Data Analysis and Data Visualization. I feel that these are two skills that go together well and both are needed to understand each other. I think these are both really important skills for not just those who work with data, but any person in their daily life. Knowing how to analyze data and how its visualized ensures that a person cannot be influenced by improper or biased representations of data.
		+	[[User:Kmill104\|Kmill104]] ([[User talk:Kmill104\|talk]]) 23:04, 7 February 2024 (PST)

	==Dean==		==Dean==

← Older revision		Revision as of 06:59, 8 February 2024
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	==Dean==		==Dean==
		+	#Two competencies that I am most skilled with are Databases and data formats, and ethics, including citation of data. I have become familiar with querying databases and becoming familiar with data types and formats through years of using databases for school and for projects. I have used biological databases since high school for assignments and have since learned several techniques on how to navigate them and how to find the type and format of data that I am looking for. I am also familiar with the ethics and data citation competency because through my training as a psychology major, I have learned several rules about how to ethically acquire and utilize data, especially that which is from human subjects.
		+	#The two competencies that I am least familiar with are metadata and data preservation. I am unfamiliar with metadata because I do not know how to interpret metadata from eternal sources at this point. I have little experience working with metadata or annotating data so it can be used by other users. Not much of the work I have done has incorporated metadata strictly speaking. I also am not familiar with methods of preserving data over long periods of time since I know that certain standards and techniques for data change over time.

	==Natalija==		==Natalija==

← Older revision		Revision as of 04:50, 8 February 2024
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	*Name two of these core competencies that you want to know more about? Why?		*Name two of these core competencies that you want to know more about? Why?
		+	Data curation and re-use is something I want to learn how to manage data well from start to finish. Knowing about data curation will teach me how to organize, maintain, and save data properly. Also, it will help me understand how to make data usable again, which is important for better data management. I know little to nothing about data curation and reuse. Data analysis is also something I would like to know more about. By learning different analysis methods, I can find important information in complex data.


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	[https://xmlpipedb.cs.lmu.edu/biodb/spring2024/images/8/8b/L02_DataSharing.pptx DataOne powerpoint pt 2]		[https://xmlpipedb.cs.lmu.edu/biodb/spring2024/images/8/8b/L02_DataSharing.pptx DataOne powerpoint pt 2]
		+
		+	=== Acknowledgments ===
		+	The work completed above has been done by me. [[User:Ckapla12\|Ckapla12]] ([[User talk:Ckapla12\|talk]]) 20:50, 7 February 2024 (PST)

← Older revision		Revision as of 03:33, 8 February 2024
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	*Name two of these core competencies are you most skilled with (or which is most familiar to you)? Where and how did you gain the skills/become familiar?		*Name two of these core competencies are you most skilled with (or which is most familiar to you)? Where and how did you gain the skills/become familiar?
−	The two core competencies I am most familiar with are ~~Data Preservation~~ and ~~Data Analysis~~. In regards to data preservation, I am familiar with saving and organizing data properly through tools such as excel. I have had to do this for many lab courses, so I've learned about it through training and practice. For data analysis, I am familiar with looking at data and finding patterns. I've learned this through school work, such as labs and math courses, which allowed me to work with different types of data.	+	The two core competencies I am most familiar with are data preservation and data analysis. In regards to data preservation, I am familiar with saving and organizing data properly through tools such as excel. I have had to do this for many lab courses, so I've learned about it through training and practice. For data analysis, I am familiar with looking at data and finding patterns. I've learned this through school work, such as labs and math courses, which allowed me to work with different types of data.