Class Journal Week 5
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Contents
- 1 John Nimmers-Minor's Responses
- 2 Christina Dominguez's Response
- 3 Iliana Crespin's Responses
- 4 Aby's Response
- 5 Michael Armas' Response
- 6 Jonar Cowan's Response
- 7 Ivy Macaraeg's Response
- 8 DeLisa Madere's Response
- 9 Kaitlyn Nguyen's Response
- 10 Naomi Tesfaiohannes's Responses
- 11 David Ramirez's Responses
- 12 Marcus Avila's Response
- 13 Links
- 14 Emma Young's Response
- 15 Mihir Samdarshi
John Nimmers-Minor's Responses
Biological Databases
Jnimmers
Assignment Table
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?
- I feel that my most skilled competencies are Discovery and Acquisition of Data and Ethics, including the citation of data. Data acquisition comes from experience,many hours of searching through databases and websites in the pursuit of finding what you're looking for. Using certain keywords, more or less detail in your search, and having particularly reliable resources that you can default to in times of need are all ways to make the discovery and acquisition of data much easier. Ethics and citation is a very important competency to have, and so I was forced to learn it very early on in regard to my education/studies. Being cognoscente of every bit of information that you've used to help write a paper/presentation/any form of public writing is a major step in becoming more familiar with the practice. Personally, I got myself into a habit of creating and adding citations while I wrote in order to avoid any problems with forgetting sources of information or media, and I found that it made citation as a whole much easier and it practically eliminated the chances of plagiarizing, whether purposefully or accidentally.
Name two of these core competencies that you want to know more about? Why?
- I would love to know more about Data Conversion and Quality Assurance at some point. The first of the two I would like to learn more about because there are many situations in which data is difficult to access based on it's storage type/format and so while I may be able to access it on one computer with the necessary applications/capabilities, the same cannot be said about trying to do the same with a second computer (at school, in a library, etc.). I feel that knowing more about data conversion may help me get around those certain problems. As for Quality Assurance, I feel that keeping my technology and information safe is crucial in this current age of technology. Quality Assurance would teach me to keep files and information safe and secure from future issues that could corrupt or be made incomplete in some way or fashion, and I find that very important.
Christina Dominguez's Response
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?
1. Ethics, including citation of data- I work for the Graduate Admissions office and work with sensitive database that contains personal and private information about applications. I understand the ethical aspect of keeping data private and secured in terms of not sharing it.
2.Data preservation- I try to emphasize organization in my work and feel that it has helped me to be skilled in this competencies when working with data especially in my research.
Name two of these core competencies that you want to know more about? Why?
1. Quality Assurance- This is an important competency for me to learn as it is crucial to know the accuracy and validity of the data at hand.
2. Databases and Data Formats- This is fundamental to the discipline and I would like to know more confidently about how to query relational databases.
Cdomin12 (talk) 22:05, 26 September 2019 (PDT)
Iliana Crespin's Responses
- 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 first core competency that I am familiar with is the Data Analysis one. Throughout high school and my undergraduate career, there has been a great emphasis on understanding data analysis. It first became familiar during my junior year of high school when I participated in several science fairs. From there, this skill was strengthen by the amounts of experiments that were done at the university. It is a great skill to master when trying to find some sort of significant different in a data (for example). The second core competency is the Data Visualization. Once again, this ties with the ideas of the first core. It was gained through high school experiments and strengthened over time.
- Name two of these core competencies that you want to know more about? Why?
- Firstly, I want to learn more about Discovery and Acquisition of Data. Many times, experiments that have been conducted are attached with the right data source that must be used. Therefore, this skill hasn't been practiced enough to do it on my own. By understanding how to do this, it will give a clearer perspective on why there are different data sources. Secondly, Data Preservation would be another one to learn about because it will help in discovering the importance of it. It hasn't really been discussed in depth and it would be great to learn about it more.Icrespin (talk) 22:41, 2 October 2019 (PDT)
Aby's Response
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?
- I feel most familiar with the core values of Ethics in regards to how properly cite sources and understanding intellectual property. Given that this value is shared across almost all of my classes throughout my college career, I have been exposed to the necessity of acknowledging other people's work when creating my own papers, journals, and wiki pages.
- I am also familiar with Data Conversion since I have been required to convert documents that I have created into different formats for certain classes. Many of the courses I have taken have required me to convert Word documents into PDF's or to understand how to download certain files in a format that is compatible with my laptop.
Name two of these core competencies that you want to know more about? Why?
- I am interested in learning more about Data Sets becuase it seems applicable towards how I protect the data that I store on my own laptop.
- I am also interested understanding Data Visualization better becuase it is a core competency that seems to encourage creativity in how we construct, store, and present data.
Ymesfin (talk) 22:54, 1 October 2019 (PDT)
Michael Armas' Response
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?
- Discovery and Acquisition of Data
- I consider myself to be very good at the discovery and acquisition of data. When it comes to searching for references for papers or presentations, or when finding information just about a general topic, I am proficient in knowing what to search for and where to search for it. Additionally, I am very judgmental of the sources of information out on the internet. Therefore, I tend to check credibility of my sources by searching authors or corporations that are responsible for presenting this information. Thus, I can say that I am confident with where my information came from when I finish my work or project.
- Ethics, including citation of data
- I find that the ethics of scientific writing is very important to the scientific community. Specifically, the ethics of intellectual property are important to maintain, as the guidelines for stealing intellectual property are based on and derived from ethics. When citing sources, I understand the importance of providing as much information as possible (according to the specific citation format). With the technology available today, citing sources has never been easier, and not to mention more important. If an author is not careful, a mistake can be mistaken as plagiarism, and the community can look down on them. I understand the importance of this issue and strive to practice the ethics of the scientific community.
Name two of these core competencies that you want to know more about? Why?
- Quality Assurance
- I understand that quality assurance is a very important field of practice when considering a lab environment. However, it's not often that I think about how it is important to the field of computational biology. The curation of data is important, and if the quality is lacking, then the project will look poor as well. As I am very interested in QA as a future career, it would be interesting to look into how it can be applied to other fields of study as well.
- Metadata
- The idea of metadata is mostly unknown to me. I understand the prefix "meta-" and how it can be applied to data, but I don't necessarily understand the importance. I have heard plenty of things about metadata, but I'm not exactly sure what it is used for. Additionally, I am not fully confident of what exactly constitutes metadata. However, I am very curious to learn more about this field.
Jonar Cowan's Response
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 Analysis is something I am familiar with. When growing up I was accustomed to having to look up information for my family or whenever my mother asks for information about a topic. I was very argumentative as a child, so I always looked up information and analyzed the data to disprove my mother's understanding on each given topic or subject.
- Data Visualization is something I feel that I am most skilled at. I feel I became relatively competent at understanding the use of visuals when I was younger because I find it difficult for myself to understand by reading. Visual stimulation is something that I have become familiar with growing up because I am a hands-on learner and I tend to get more confused at reading long texts.
Name two of these core competencies that you want to know more about? Why?
- Discovery and Acquisition of Data is something that I would like to learn more about because of the ability to find good support and evidence. Being about to cite appropriate and accurate data is really important in terms of reputation and the content of a person's work. I feel having this particular skill is needed, especially with new discoveries. Many people fail to properly find data and end up using inaccurate information due to their lack of understanding.
- Data Conversion and Interoperability is another core competency that I feel is very important and I want to learn more about. Being about to move data from a program, source, website, etc. is very important to be able to properly share data with ease because if new findings were difficult to share then new information could be lost. The computers need to be able to understand the data coming in to be able to relate to other findings or else important data could be lost due to improper labeling or thrown away because of an error in the conversion of data.
Jcowan4 (talk) 19:11, 2 October 2019 (PDT)
Misc. Links
Ivy Macaraeg's Response
- 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?
- Databases and Data Formats- I have some experience with downloading data from previous classes, specifically labs, that require research data to be used. Additionally, we have practiced with downloading and viewing data from databases in class recently.
- Metadata- I have used metadata in previous classes and in research to compile summaries of what I have learned or to simply no more about data.
- Name two of these core competencies that you want to know more about? Why?
- Data Visualization- I think it would be interesting to know what goes behind the presentation of data. Usually, you have a button that just says "Download" to acquire the data, but I would like to know the steps, if there are multiple, ways of putting that on screen. I think it would also be interesting to know if there were multiple ways of presenting this data creatively.
- Cultures of Practice- I've never thought of databases as having a sort of culture or etiquette. I would like to know more about what this means for curators as well as what it would mean for a user.
Imacarae (talk) 19:30, 2 October 2019 (PDT) Imacarae's User Page
DeLisa Madere's Response
- 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?
- I am most skilled with Data Analysis. I like to look at data from an experiment or from a database and interpret the results. It is fascinating to see where there is an overlap in the data, even more fascinating when it is my own data. I have gained the skills from looking at data from experiments that I would do even from when I was younger and was able to improve upon them when I came to college. I would also say that I am familiar with Data Visualization, but I am not good at coming up with the visual myself. I have become familiar with it from working my on-campus job but never have been able to think of the idea myself.
- Name two of these core competencies that you want to know more about? Why?
- I would like to know more about Data Management and Organization, and Data Preservation. I think it is very interesting to hear more about the lifecycle of data. I feel like data is most of the time there for our use, and it would be interesting to hear about how long it has been there. I would also like to know more about how it is preserved in these databases since technology was not always there for us to use. Dmadere (talk) 22:29, 2 October 2019 (PDT)
Kaitlyn Nguyen's Response
- 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 Analysis: Through out my life, but more specifically in college, I've learned to analyze data following experiments and interpret them, whether that be to find the correlation between two or more things or quantitative/qualitative and conceptual data.
- Ethics, including citations of data: In my first year at Loyola Marymount University, I took a course on the Philosophy of Ethics in Science and Engineering. Through that course, I was able to understand the importance of maintaining an ethical workspace for not only a person or persons' wellbeing, but creating an environment that allows for scientific data to be shared while avoiding plagiarism and/or piracy.
- Name two of these core competencies that you want to know more about? Why?
- While I noticed most of these core competencies "bounce off of eachother," the two that are the most intriguing to learn more about are Quality Assurance and Data Curation and Re-use. I've heard these terms before, but I've never dove deep in truly understanding what they mean or how to use them correctly. Learning the technology and the skillset behind curating data would be very useful for my own personal experiments I may encounter in the future.
Knguye66 (talk) 19:54, 2 October 2019 (PDT) Template:knguye66
Naomi Tesfaiohannes's Responses
Ntesfaio Final Individual Reflection
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?
1. Ethics, including citation of data.
Understanding intellectual property, privacy, and the ethos of the discipline around sharing and citing data.
After working on citations every week I feel more comfortable with proper formatting as well as making sure to cite whatever work I am using. The ethos of citing other people's data is really to give the recognition they deserve for their contributions and not make the misguiding assumption that the work was done by myself when used in my own work. This is becoming more familiar to me throughout this course since we work a lot with using other databases and sources and have learned the proper way of acknowledging someone else's work.
2. Data Management and Organization
Understanding the lifecycle of data, and use data management plans to track subsets of processed data.
I believe data management was greatly done when interpreting different databases. For example, in this week's individual journal assignment we had to navigate our way through a new database that was not discussed in class yet. After doing this we make a presentation on the database, requiring for an organization of the information being presented. This skill was very useful when leading the class through a demo during our presentation. Having a clear understanding of the layout and options on the database made for a smooth presentation.
Name two of these core competencies that you want to know more about? Why?
1. Quality Assurance
Use metadata and screening procedures to recognize artifacts, incompletion, or corruption of data sets.
I don't believe we have done much of this yet. We more so have been using our skills to make information more organized and understandable. I think Quality Assurance can become handy in the real work, especially for large companies like Facebook or ever companies that may be at threat of having false advertisements in the public. Quality Assurance seems to be a security measure that can be used to protect information and also ensure that the right information is presented to the general public.
2. Data Curation and Re-use
Recognize the role of curation throughout the data lifecycle in its value in effective reuse of data
I never really thought of the re-use of data. I always thought of databases constantly updating with new information. I am curious to know what data exactly can be reused. Does this include data on people? For example, with Facebook, are birthday reminds re-used data collections that appear once a year? I'm interested in understanding what exactly is used in this situation and how it is tapped into.
Ntesfaio (talk) 20:19, 2 October 2019 (PDT)
David Ramirez's Responses
User:Dramir36 template:Dramir36 Skinny Genes
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1. 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?
- I believe that I am most skilled in Discovery and Acquisition of Data, and Data Management and Organization. The majority of the experience that I have obtained familiarity with these two core competencies is through my current job as a Biology Stock Room Technician Assistant. Part of the job is being in charge of the inventory inside the Stock Room, and making any necessary changes to the data file when objects are moved around or stored in another location. I am able to discover the data that needs to be modified whenever new products or equipment is brought into the stock room. Other examples include finding the data files that include the inventory for dissected animals and where they are stored, as well as adding new inventory-related data for new incoming dissection animals. The core competency of Data Management and Organization is applied when I look through data files and update the data when there are any cells that are fairly old or outdated, and it is known that an updated product exists in the stock room or related location. If outdated data does exist, I know to check on the subject that it pertains to and make sure that something newer is coming in to replace old chemicals or substances that may have lost it's effectiveness.
2. Name two of these core competencies that you want to know more about? Why?
- I would really like to know more about Data Analysis and Data Visualization. These two core competencies will greatly assist me in my career plan as a Zoological Researcher. I would like to become very skilled with Data Analysis because that is one of the biggest responsibilities as a researcher, having to analyze large amounts of data and make sense of what all that data means, its significance. By becoming proficient in Data Analysis, I would spend less time on trying to find a way to analyze data and more on discovering multiple ways to share my findings, making arguments, and/or sharing the overall message and meaning of the results that were found during the research project. Data Visualization seems very interesting to me because, like Data Analysis, this will play a big role as my job as a researcher. I need to find multiple ways in delivering my message, through different forms of presentation. This will include different visualizations in articles, poster presentations, and scientific papers in general. Getting to public and scientific community to understand my research will become much easier if I am proficient in knowing different ways to visualize my data, because everyone doesn't have the same mindset in understanding data.
Dramir36 (talk) 22:00, 2 October 2019 (PDT)
Marcus Avila's Response
Links
- Name two of these core competencies you are most skilled with (or which is most familiar to you)? Where and how did you gain the skills/become familiar?
- I am most skilled with Ethics, including citation of data. I became familiar with this because I have written several research and scientific papers throughout my college career which require extensive citation. These papers include data from other previous research and I always made sure to credit the works original author. I am also skilled in Data Analysis. I became familiar with data analysis through using programs like Excel, Access, and other online data analysis tools throughout my college career.
- Name two of these core competencies that you want to know more about? Why?
- I want to know more about Data Visualization because I think it is important to make the data both clear and appealing for users. While the content of data is the most important aspect, visuals could allow users to better understand and apply the data. I also want to know more about Metadata because understanding and interpreting it can be useful in finding connections between data sets. Connections between data sets could give insight into more information that is not apparent when simply looking at the data.
Mavila9 (talk) 21:24, 2 October 2019 (PDT)
Emma Young's Response
- 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?
- I believe I am most familiar and skilled with the ideas of Data Visualization and the Ethics of data usage. The idea of data visualization is something that I am very familiar with. Not only have my years in studying biology shown me how important it can be to have a visual component for information, but it has also taught that at times seeing data in different visual formats allows the view to get different information from each type of visualization, this results in a more complete understanding of the data. I am also very familiar with the Ethics behind citation of data, the use of other peoples work with out giving credit is a unethical action. LMU has engrained the idea that we should always give credit where credit is due. No ones work should be used without permission, it is their intellectual property.
- Name two of these core competencies that you want to know more about? Why?
- I would like to know more about Databases and Data Formats, and Data conversion and interoperability. I would like to learn more about these core competencies because I feel like they are very foundational aspects to understanding everything about databases. For me theses aspects of databases and how the data formats are formed and interconnected, are not things a can wrap my head around. I would really like to remedy this gap in my understanding.
Eyoung20 (talk) 23:44, 2 October 2019 (PDT)
Mihir Samdarshi
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| Mihir Samdarshi User Page | ||
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