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You (Lilian) Cheng
Manually searching specific metadata for an academic paper is laborious. Is there any magic that we can get all metadata for the bibliography search done at once? Crossref is the tool for you. It can extract the metadata for tens of thousands of papers online in one run.
Read more
Manually searching specific metadata for an academic paper is laborious. Is there any magic that we can get all metadata for the bibliography search done at once? Crossref is the tool for you. It can extract the metadata for tens of thousands of papers online in one run.
Read more
Manually searching specific metadata for an academic paper is laborious. Is there any magic that we can get all metadata for the bibliography search done at once? Crossref is the tool for you. It can extract the metadata for tens of thousands of papers online in one run.
By the end of this project, learners will be able to create their own tailored R function to find paper metrics from the Crossref API. The function, which will be guided to build step by step, can easily be re-used when there are newly added articles or if the learners want to get the most up-to-date metrics. In this guided project, the instructor will walk learners through understanding the Crossref API, tailoring an R function, and wrangling the bibliography dataset. A good handle of this method will make it convenient for learners to analyze different metrics for bibliography from different fields, such as impact and number of collaborators.
Register for this course and see more details by visiting:
OpenCourser.com/course/0w7np7/finding
What's inside
Syllabus
Project Overview
Manually searching specific metadata for an academic paper is laborious. Is there any magic that we can get all metadata for the bibliography search done at once? Crossref is the tool for you. It can extract the metadata for tens of thousands of papers online in one run. By the end of this project, learners will be able to create their own tailored R function to find paper metrics from the Crossref API. The function can easily be re-used when there are newly added articles or if the learners want to get the most up-to-date metrics. A good handle of this method will make it convenient for learners to analyze different metrics for bibliography from different fields, such as impact and number of collaborators. This guided project is for learners who are interested in science management, general science-related meta-analysis, or more specifically bibliography mining. For academic researchers who are wondering what to do with years of papers stored in the reference management software, this could also be a fun project.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops in-demand skills that are highly relevant in an academic setting
Sets learners on a path for undertaking doctoral research
Builds a strong foundation for beginners, making it suitable for learners at different levels
Provides hands-on labs and interactive materials, making it engaging and practical
Teaches skills that are useful for personal growth and development, expanding professional horizons
Offers a comprehensive study of one aspect of the human condition, providing a deep understanding
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Reviews summary
Introductory course on crossref api
Learners say this course on the Crossref API is difficult with limited explanations. One learner noted that the code they generated did not work. Reviews are too limited to state this with certainty.
Instructor explanations were considered poor.
"Instructor explanations were limited."
Code generated by the course did not work.
"Code generated does not work."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Finding bibliography metrics using the Crossref API with these
activities:
Organize bibliography data
Show steps
Gather and arrange relevant materials to facilitate effective learning and quick referencing
Show steps
-
Collect papers and references
-
Create a systematic filing system
Review Crossref API
Show steps
Know your way around Crossref to succeed in this course
Show steps
-
Read Crossref documentation
-
Experiment with Crossref API
Explore Crossref R package
Show steps
Become familiar with R package for Crossref to enhance data analysis skills
Show steps
-
Install and load Crossref R package
-
Follow tutorials on using the package
Five other activities
Expand to see all activities and additional details
Show all eight activities
Analyze paper metrics
Show steps
Identify and categorize important paper metrics to improve reading efficiency
Show steps
-
Extract metrics from various paper sources
-
Organize and categorize metrics
Build tailored R function
Show steps
Create a customized R function to automate paper metric extraction, saving time and effort
Show steps
-
Design the function's structure and parameters
-
Write and test the R code
Collaborate on bibliography analysis
Show steps
Exchange ideas, share insights, and learn from peers to enhance understanding and broaden perspectives
Show steps
-
Form a study group
-
Discuss paper metrics and analysis techniques
Write a blog post
Show steps
Summarize key concepts and share insights on Crossref and bibliography analysis to reinforce learning and potentially help others
Show steps
-
Choose a topic and outline the post
-
Write and edit the blog post
Contribute to Crossref R package
Show steps
Enhance your understanding and make a valuable contribution to the open-source community by improving the Crossref R package
Show steps
-
Identify an area for improvement or a new feature to add
-
Write and test code changes
-
Submit a pull request
Organize bibliography data
Show steps
Gather and arrange relevant materials to facilitate effective learning and quick referencing
Show steps
Show steps
Show steps
- Collect papers and references
- Create a systematic filing system
Review Crossref API
Show steps
Know your way around Crossref to succeed in this course
Show steps
Show steps
Show steps
- Read Crossref documentation
- Experiment with Crossref API
Explore Crossref R package
Show steps
Become familiar with R package for Crossref to enhance data analysis skills
Show steps
Show steps
Show steps
- Install and load Crossref R package
- Follow tutorials on using the package
Five other activities
Expand to see all activities and additional details
Show all eight activities
Analyze paper metrics
Show steps
Identify and categorize important paper metrics to improve reading efficiency
Show steps
Show steps
Show steps
- Extract metrics from various paper sources
- Organize and categorize metrics
Build tailored R function
Show steps
Create a customized R function to automate paper metric extraction, saving time and effort
Show steps
Show steps
Show steps
- Design the function's structure and parameters
- Write and test the R code
Collaborate on bibliography analysis
Show steps
Exchange ideas, share insights, and learn from peers to enhance understanding and broaden perspectives
Show steps
Show steps
Show steps
- Form a study group
- Discuss paper metrics and analysis techniques
Write a blog post
Show steps
Summarize key concepts and share insights on Crossref and bibliography analysis to reinforce learning and potentially help others
Show steps
Show steps
Show steps
- Choose a topic and outline the post
- Write and edit the blog post
Contribute to Crossref R package
Show steps
Enhance your understanding and make a valuable contribution to the open-source community by improving the Crossref R package
Show steps
Show steps
Show steps
- Identify an area for improvement or a new feature to add
- Write and test code changes
- Submit a pull request
Career center
Learners who complete Finding bibliography metrics using the Crossref API will develop knowledge and skills
that may be useful to these careers:
Research Analyst
Research Analyst
Research Analysts collect, synthesize, and analyze data to help companies make informed decisions. This course can help build a foundation for this role by providing learners with the skills to extract and interpret data from academic papers. Additionally, the course covers how to use the Crossref API, which can be a valuable tool for researchers who need to access large amounts of data quickly and easily.
Data Scientist
Data Scientist
Data Scientists use their skills in mathematics, statistics, and computer science to extract insights from data. This course can help build a foundation for this role by providing learners with the skills to collect, clean, and analyze data. Additionally, the course covers how to use the Crossref API, which can be a valuable tool for data scientists who need to access large amounts of data quickly and easily.
Science Communicator
Science Communicator
Science Communicators use their skills in science and communication to bridge the gap between scientists and the public. This course can help build a foundation for this role by providing learners with the skills to read and understand academic papers. Additionally, the course covers how to use the Crossref API, which can be a valuable tool for science communicators who need to access large amounts of data quickly and easily.
Scholarly Communications Manager
Scholarly Communications Manager
Scholarly Communications Managers oversee the dissemination of research and scholarship. This course can help build a foundation for this role by providing learners with the skills to read and understand academic papers. Additionally, the course covers how to use the Crossref API, which can be a valuable tool for scholarly communications managers who need to access large amounts of data quickly and easily.
Science Writer
Science Writer
Science Writers communicate complex scientific information to a lay audience. This course can help build a foundation for this role by providing learners with the skills to read and understand academic papers. Additionally, the course covers how to use the Crossref API, which can be a valuable tool for science writers who need to access large amounts of data quickly and easily.
Science Policy Analyst
Science Policy Analyst
Science Policy Analysts use their knowledge of science and public policy to develop and implement policies that affect the scientific community. This course can help build a foundation for this role by providing learners with the skills to read and understand academic papers. Additionally, the course covers how to use the Crossref API, which can be a valuable tool for science policy analysts who need to access large amounts of data quickly and easily.
Science Librarian
Science Librarian
Science Librarians help users find and access scientific information. This course can help build a foundation for this role by providing learners with the skills to read and understand academic papers. Additionally, the course covers how to use the Crossref API, which can be a valuable tool for science librarians who need to access large amounts of data quickly and easily.
Information Architect
Information Architect
Information Architects design and organize information systems to make information easy to find and use. This course can help build a foundation for this role by providing learners with the skills to read and understand academic papers. Additionally, the course covers how to use the Crossref API, which can be a valuable tool for information architects who need to access large amounts of data quickly and easily.
Knowledge Manager
Knowledge Manager
Knowledge Managers oversee the creation, storage, and dissemination of knowledge within an organization. This course can help build a foundation for this role by providing learners with the skills to read and understand academic papers. Additionally, the course covers how to use the Crossref API, which can be a valuable tool for knowledge managers who need to access large amounts of data quickly and easily.
Librarian
Librarian
Librarians help people find and access information. This course can help build a foundation for this role by providing learners with the skills to read and understand academic papers. Additionally, the course covers how to use the Crossref API, which can be a valuable tool for librarians who need to access large amounts of data quickly and easily.
For more career information including salaries, visit:
OpenCourser.com/course/0w7np7/finding
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Finding bibliography metrics using the Crossref API.
Covers the fundamental techniques used in data mining, with a focus on large-scale datasets. It valuable resource for learners who want to gain a deeper understanding of the algorithms and techniques used in bibliography analysis.
Provides a comprehensive overview of machine learning techniques, with a focus on applications in data science. It valuable resource for learners who want to gain a deeper understanding of the algorithms and techniques used in bibliography analysis.
Provides a comprehensive overview of statistical learning techniques, with a focus on applications in data science. It valuable resource for learners who want to gain a deeper understanding of the algorithms and techniques used in bibliography analysis.
Provides a comprehensive overview of information retrieval techniques, with a focus on the theoretical foundations of the field. It valuable resource for learners who want to gain a deeper understanding of the algorithms and techniques used in bibliography analysis.
Provides a comprehensive overview of the statistical foundations of natural language processing. It valuable resource for learners who want to gain a deeper understanding of the algorithms and techniques used in bibliography analysis.
Provides a comprehensive overview of speech and language processing techniques, with a focus on applications in natural language processing. It valuable resource for learners who want to gain a deeper understanding of the algorithms and techniques used in bibliography analysis.
Save
Provides a comprehensive overview of computational linguistics, with a focus on the theoretical foundations of the field. It valuable resource for learners who want to gain a deeper understanding of the algorithms and techniques used in bibliography analysis.
Save
Provides a comprehensive overview of language models for information retrieval. It valuable resource for learners who want to gain a deeper understanding of the algorithms and techniques used in bibliography analysis.
Provides a comprehensive overview of the evaluation of language models for information retrieval. It valuable resource for learners who want to gain a deeper understanding of the algorithms and techniques used in bibliography analysis.
Provides a comprehensive overview of information retrieval algorithms and heuristics. It valuable resource for learners who want to gain a deeper understanding of the algorithms and techniques used in bibliography analysis.
Provides a comprehensive overview of modern information retrieval techniques. It valuable resource for learners who want to gain a deeper understanding of the algorithms and techniques used in bibliography analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0w7np7/finding
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Effort
1.5 - 2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
You (Lilian) Cheng
Language
English
Good to know
Develops in-demand skills that are highly relevant in an academic setting
Sets learners on a path for undertaking doctoral research
Builds a strong foundation for beginners, making it suitable for learners at different levels
Provides hands-on labs and interactive materials, making it engaging and practical
Teaches skills that are useful for personal growth and development, expanding professional horizons
Offers a comprehensive study of one aspect of the human condition, providing a deep understanding
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