-
Created
March 21, 2022 16:40
by
aee32
-
Added Creator Allison Langham-Putrow
March 21, 2022 16:40
by
aee32
-
Added Creator Ana Enriquez
March 21, 2022 16:40
by
aee32
-
Added
A few other resources.docx
March 21, 2022 16:46
by
aee32
-
Added
Answer Key for Practice Data.docx
March 21, 2022 16:46
by
aee32
-
Added
Excel basics.docx
March 21, 2022 16:46
by
aee32
-
Added
Introduction.docx
March 21, 2022 16:46
by
aee32
-
Added
Lens-Practice-Data.csv
March 21, 2022 16:46
by
aee32
-
Added
Lesson 1.1A-Downloading records from Web of Science.docx
March 21, 2022 16:46
by
aee32
-
Added
Lesson 1.1B-Downloading records from Scopus.docx
March 21, 2022 16:46
by
aee32
-
Added
Lesson 1.1C-Downloading records from the Lens.docx
March 21, 2022 16:46
by
aee32
-
Added
Lesson 1.2-Creating projects in OpenRefine.docx
March 21, 2022 16:46
by
aee32
-
Added
Lesson 1.3-Unpaywall API query with OpenRefine.docx
March 21, 2022 16:46
by
aee32
-
Added
Lesson 2.1-Analyzing repository use.docx
March 21, 2022 16:46
by
aee32
-
Added
Lesson 2.2-Analyzing funder data.docx
March 21, 2022 16:46
by
aee32
-
Added
Lesson 2.3-Analyzing corresponding author.docx
March 21, 2022 16:46
by
aee32
-
Added
Lesson 2.4-Cleaning up publisher name variants.docx
March 21, 2022 16:46
by
aee32
-
Added
Lesson 2.5-Estimating APCs using ISSNs.docx
March 21, 2022 16:46
by
aee32
-
Added
OpenRefine basics.docx
March 21, 2022 16:46
by
aee32
-
Added
PracticeExcelData.xlsx
March 21, 2022 16:46
by
aee32
-
Added
Scopus-Practice-Data.csv
March 21, 2022 16:46
by
aee32
-
Added
WoS-Practice-Data.tsv
March 21, 2022 16:46
by
aee32
-
March 21, 2022 16:47
by
aee32
Description
This short course provides training materials about how to create a set of publication data, gather additional information about the data through an API (Application Programming Interface), clean the data, and analyze the data in various ways. The API that we'll use is from Unpaywall and helps gather information related to the open access (OA) status of the item. This short course was created for the Scholarly Communication Notebook.
- This short course provides training materials about how to create a set of publication data, gather additional information about the data through an API, clean the data, and analyze the data in various ways. The API that we'll use is from Unpaywall and helps gather information related to the open access (OA) status of the item. This short course was created for the Scholarly Communication Notebook.
License
- https://creativecommons.org/licenses/by/4.0/
-
Published
March 21, 2022 16:47
by
aee32
-
Updated
March 22, 2022 16:18
by
[unknown user]
-
April 04, 2022 15:03
by
sre53
Description
This short course provides training materials about how to create a set of publication data, gather additional information about the data through an API, clean the data, and analyze the data in various ways. The API that we'll use is from Unpaywall and helps gather information related to the open access (OA) status of the item. This short course was created for the Scholarly Communication Notebook.
- This short course provides training materials about how to create a set of publication data, gather additional information about the data through an API (Application Programming Interface), clean the data, and analyze the data in various ways. Developing these skills will assist academic librarians who are:
- + Negotiating a renewal of a journal package or an open access publishing agreement,
- + Interested in which journals the institution's authors published in or which repositories the institution’s authors shared their works in,
- + Looking to identify publications that could be added to your repository,
- + Searching for authors who do or do not publish OA for designing outreach programs, or
- + Tracking how open access choices have changed over time.
- After completing the lessons, the user will be able to gain an understanding of an institution’s publishing output, such as number of publications per year, open access status of the publications, major funders of the research, estimates of how much funding might be spent towards article processing charges (APCs), and more. The user will also be better prepared to think critically about institutional publishing data to make sustainable and values-driven scholarly communications decisions.
- The course is presented in two sections. Section 1 describes how to build a dataset. Section 2 describes a free, open source tool for working with data. Examples of how to do analyses both in OpenRefine and Microsoft Excel are provided.
- This short course was created for the Scholarly Communication Notebook. The file "Analyzing Institutional Publishing Output-A Short Course.docx" serves as a table of contents for the materials.
-
Added
Analyzing Institutional Publishing Output-A Short Course.docx
April 04, 2022 15:03
by
sre53
-
Updated
April 04, 2024 10:21
by
[unknown user]