Difference between revisions of "Monarch Initiative Week 4"

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Revision as of 14:37, 6 February 2024

To User Page: User: Asandle1, User: Kmill104

To Assignment Page: Week 4

https://academic.oup.com/nar/article/52/D1/D938/7449493


Database Evaluation

Andrew doing 1 and 3, Katie 2 and 4 For your assignment, create a new wiki page to profile your database. For this week, there will be one page per set of partners; both partners will contribute content and notes for their electronic lab notebook to the same page; you do not need to have separate individual journal entries for this week.

  • The name of your page should be "Database name Week 4".

Read the article about the database from the Nucleic Acids Research journal and then go online to the database itself. In keeping with Academic Honesty and citation practices, when you answer the questions below, provide a hyperlink to the page that you got the information from. There should be at least one hyperlink per answer.

  • General information about the database
    1. What is the name of the database? (link to the home page)
    2. What type (or types) of database is it?
      1. What biological information (type of data) does it contain? (sequence, structure, model organism, or specialty [what?])
      2. What type of data source does it have?
        • primary versus secondary ("meta")?
        • curated versus non-curated?
          • if curated, is it electronic versus human curation?
            • if human curation, is it in-house staff versus community curation?
    3. What individual or organization maintains the database?
      • public versus private
      • large national or multinational entity or small lab group
    4. What is their funding source(s)?
  • Scientific quality of the database
    1. Does the content appear to completely cover its content domain?
      • How many records does the database contain?
      • What claims do the database owners make about coverage in the corresponding paper?
    2. What species are covered in the database? (If it is a very long list, summarize.)
    3. Is the database content useful? I.e., what biological questions can it be used to answer?
    4. Is the database content timely?
      • Is there a need in the scientific community for such a database at this time?
      • Is the content covered by other databases already?
    5. How current is the database?
      • When did the database first go online?
      • How often is the database updated?
      • When was the last update?
  • General utility of the database to the scientific community
    1. Are there links to other databases? Which ones?
    2. Is it convenient to browse the data?
    3. Is it convenient to download the data?
      • In what file formats are the data provided?
        • What type of files, indicated by the file extension (e.g., .txt, .xml., etc.)?
        • Are they standard or non-standard formats? (i.e., are they following an approved standard for that type of data)?
    4. Evaluate the “user-friendliness” of the database: can a naive user quickly navigate the website and gather useful information?
      • Is the website well-organized?
      • Does it have a help section or tutorial?
      • Are the search options sensible?
      • Run a sample query. Do the results make sense?
    5. Access: Is there a license agreement or any restrictions on access to the database?
  • Summary judgment
    1. Would you direct a colleague unfamiliar with the field to use it?
    2. Is this a professional or "hobby" database? The "hobby" analogy means that it was that person's hobby to make the database. It could mean that it is limited in scope, done by one or a few persons, or seems amateur.

Some Definitions

  • Electronic curation occurs when someone writes a program to add information to a database record from another database.
  • Manual curation occurs when a human reviews the information being added to a record to validate it as true.
    • In-house is when the human works for the database organization.
    • Community is when the database allows members of the scientific community that don't work for the database organization to add information to the record.