BardMetrics guide

Note: This article is attached to the BardMetrics project and was crafted as a wiki proof-of-concept, but also as a source of information pertinent to that initiative.

Finding Aid

Folger Editions Sales

Provided by: Folger Editions/Simon & Schuster
Publication Type: Mass Market and Trade Paperbacks
Date provided: December, 2013
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This is an excel workbook which contains information pertaining to 2012 and 2011 sales of the Folger Shakespeare Editions. It includes:

• “All” – Table; Fields: IBSN, Title Name, Format Name, Publication Date, Available Units, Title Status, and Gross/Net Sales for 2012 and 2011.

• “Mass Paperback Only” – Table; Fields: IBSN, Title Name, Format Name, Publication Date, Available Units, Title Status, and Gross/Net Sales for 2012 and 2011; this table includes data for mass paperback books only.

• “Trade Paper Only” – Table; Fields: IBSN, Title Name, Format Name, Publication Date, Available Units, Title Status, and Gross/Net Sales for 2012 and 2011; this table includes data for trade paperback books only.

Folger With College Sales

Provided by: Folger Editions/Simon & Schuster
Publication Type: Mass Market and Trade Paperbacks
Date provided: December, 2013
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This is an excel workbook containing information pertaining to the sales of not just the Folger Shakespeare editions, but also the Simon & Schuster Enriched Classics editions.

• “Report One” – Table; contains information specifically pertaining to the Folger Shakespeare Library editions. Fields: Short Title Name, Publication Date, 2012 Gross Sales, 2012 Net Sales, 2011 Gross Sales, 2011 Net Sales, B&N, NASCOP, and 2014 Net Sales.

• “Report Two” – Table; contains information specifically pertaining to the “Enriched Classics” Editions. Fields: ISBN, Title Name, Publication Date, Available Units, Comp Title, Format, 2012 Gross Sales, 2012 Net Sales, 2011 Gross Sales, 2011 Net Sales.

OSS Search Stats

Provided by: Open Source Shakespeare
Publication Type: Digital database
Date provided: December, 2013
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An excel worksheet which contains a collections of graphs related to the usage of Open Source Shakespeare.

• Table of searches conducted by play; ordered from most to least frequently searched. Fields: Rank, number of searches, percentage of searches, title of work, genre of work

• A bar graph depicting number of searches by work title.

• A pie chart depicting percentage of searches by work title.

SHQ_Usage_2004_June2013

Provided by: Shakespeare Quarterly
Publication Type: Quarterly Journal Publication
Date provided: December, 2013
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This is an excel workbook which includes tables depicting the frequency of article and issue views for Shakespeare quarterly from 2004-2013.

• “Summary” – Table; a summary of the span and scope of workbook data. Fields: Days resources accessed, articles viewed, HTML articles viewed, PDF articles viewed, TOCs viewed, TOCs viewed by subscribers, TOCs viewed by non-subscribers, Journals viewed, IPs used to access database.

• “Daily” – Table; a summary of the number of articles requested on a per-day basis from 1/1/04-6/30/2013. Fields: Date, Articles, HTML Articles, PDF Articles, TOCs, Subscribed TOCs, Unsubscribed TOCs.

• “Journal” – Table; Information about Shakespeare Quarterly. Fields: Journal, Print ISSN, Elec. ISSN, Bytes Available, HTML Articles, PDF Articles, TOCs, Subscribed TOCs, Unsubscribed TOCs.

• “Issue” – Table; Tracks the hits on requested articles (broken down into HTML, PDF, and TOCs) via issue and volume number of the journals from 52.1 – 64.1. Fields: Journal, Vol. Num, Iss. Num, Description, Articles, HTML Articles, PDF Articles, TOCs, Subscribed TOCs, Unsubscribed TOCs.

• “Article” – Table; Lists the article, author, and volume/issue number for the top 300 articles in order via most to least requested. Fields: Journal, Vol. Num, Iss. Num, Article, Author, Views, HTML Views, PDF Views.

• “Subs_art” – Table; Tracks in order from greatest number of requests to smallest number of requests the volume of articles requested by each institution. Fields: Institution, Articles.

• “Subs_TOC” – Table; Tracks in order from greatest number of requests to smallest number of requests the volume of TOCs requested by each institution. Fields: Institution, TOCs.

• “Country” – Table; Tracks number of article requests (both articles and TOCs) ranked from highest requestors to lowest requestors. Fields: “Country”, “Articles”, “TOCs”.

SHQ_Usage_2004_June2013 (with analysis)

Provided by: Shakespeare Quarterly
Publication Type: Quarterly Journal Publication
Date provided: December, 2013
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This is an excel workbook which includes tables depicting the frequency of article and issue views for Shakespeare quarterly from 2004-2013. It repeats much of the information available in the “with analysis” version; the worksheets by the same name as those in that version are identical.

• “Summary” – Table; a summary of the span and scope of workbook data. Fields: Days resources accessed, articles viewed, HTML articles viewed, PDF articles viewed, TOCs viewed, TOCs viewed by subscribers, TOCs viewed by non-subscribers, Journals viewed, IPs used to access database.

• “Journal” – Table; Information about Shakespeare Quarterly. Fields: Journal, Print ISSN, Elec. ISSN, Bytes Available, HTML Articles, PDF Articles, TOCs, Subscribed TOCs, Unsubscribed TOCs.

• “Article Requests by Day” – Table; a summary of the number of articles requested on a per-day basis from 1/1/04-6/30/2013. Fields: Date, HTML Articles, PDF Articles, Articles, TOCs, Subscribed TOCs, Unsubscribed TOCs.

• “Article Requests by day (chart)” – Chart; line chart of the information presented in Article Requests by Day table.

• “HTML vs. PDF trends (chart)” – Graph; A comparative line graph of the popularity/usage of PDF articles as opposed to HTML articles over the course of the project span.

• “HTML vs. PDF Totals (chart)” – Graph; A pie graph of the full number of HTML articles viewed as opposed to PDF articles viewed.

• “Requests by issue” – Table; Tracks the hits on requested articles (broken down into HTML, PDF, and TOCs) via issue and volume number of the journals from 52.1 – 64.1. Fields: Journal, Vol. Num, Iss. Num, Description, Articles, HTML Articles, PDF Articles, TOCs, Subscribed TOCs, Unsubscribed TOCs.

• “Requests by issue (chart)” – Graph; a bar graph of the data depicted in the Requests by Issue table.

• “Article View Counts” – Table; Lists the article, author, and volume/issue number for the top 300 articles in order via most to least requested. Fields: Journal, Vol. Num, Iss. Num, Article, Author, Views, HTML Views, PDF Views.

• “Article View Counts (chart)” – Graph; a bar graph of the data depicted in the Article View Counts table.

• “Articles by Subscriber” – Table; Tracks in order from greatest number of requests to smallest number of requests the volume of articles requested by each institution. Fields: Institution, Articles.

• “Articles by Subscriber (chart)” – Graph; bar graph of the data depicted in Articles by Subscriber table.

• “Article Requests by Country” – Table; Tracks number of article requests (both articles and TOCs) ranked from highest requestors to lowest requestors. Fields: “Country”, “Articles”, “TOCs”.

• “Article Req-Country (Chart)” – Graph; bar graph of the article requests by country table.

• “Subs_TOC” – Table; Tracks in order from greatest number of requests to smallest number of requests the volume of TOCs requested by each institution. Fields: Institution, TOCs.

SQ Usage Data (Jan. 2004 to June 2013)

Provided by: Shakespeare Quarterly
Publication Type: Quarterly Journal Publication
Date provided: December, 2013
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This workbook contains a series of graphs which visually depict the information collected in SHQ_Usage_2004_June2013 and SHQ_Usage_2004_June2013 (with analysis). It also contains several charts which are redundant to the information presented in those workbooks.

• “Journal” – Table; Information about Shakespeare Quarterly. Fields: Journal, Print ISSN, Elec. ISSN, Bytes Available, HTML Articles, PDF Articles, TOCs, Subscribed TOCs, Unsubscribed TOCs.

• “Summary” – Table; a summary of the span and scope of workbook data. Fields: Days resources accessed, articles viewed, HTML articles viewed, PDF articles viewed, TOCs viewed, TOCs viewed by subscribers, TOCs viewed by non-subscribers, Journals viewed, IPs used to access database.

• “Subs_TOC” – Table; Tracks in order from greatest number of requests to smallest number of requests the volume of TOCs requested by each institution. Fields: Institution, TOCs.

• “Article Requests by Day” – Table; a summary of the number of articles requested on a per-day basis from 1/1/04-6/30/2013. Fields: Date, Articles, HTML Articles, PDF Articles, TOCs, Subscribed TOCs, Unsubscribed TOCs.

• “Requests by Issue” – Table; Tracks the hits on requested articles (broken down into HTML, PDF, and TOCs) via issue and volume number of the journals from 52.1 – 64.1. Fields: Journal, Vol. Num, Iss. Num, Description, Articles, HTML Articles, PDF Articles, TOCs, Subscribed TOCs, Unsubscribed TOCs.

• “Requests by Volume” – Table; Traces the number of requests made per volume of the journal from v. 52-64 (2001-2013). Also calculates the average request per month based on the number of months this volume has been in circulation and the number of total requests it has received. Fields: Vol. Num, Year, Requests, Months, Average.

• “Article Views” – Table; Lists the article, author, and volume/issue number for the top 300 articles in order via most to least requested. Fields: Journal, Vol. Num, Iss. Num, Article, Author, Views, HTML Views, PDF Views.

• “Article Views per Month” – Table; identical to “Article Views” chart in this version in content, but lists the top 300 articles in the order of most views per month. Fields: Journal, Vol. Num, Iss. Num, Article, Author, Views, HTML Views, PDF Views.

• “Articles by Subscriber” – Table; Tracks in order from greatest number of requests to smallest number of requests the volume of articles requested by each institution. Fields: Institution, Articles.

• “Article Requests by Country” – Table; Tracks number of article requests (both articles and TOCs) ranked from highest requestors to lowest requestors. Fields: Country, Articles, TOCs.

• “Article Requests by Day (Chart)” – Graph; A bar graph of the Article Requests by Day table.

• “HTML vs. PDF trends (chart)” – Graph; A filled line graph of the percentage of articles requested in PDF and HTML form.

• “HTML vs. PDF Totals (chart)” – Graph; A pie graph depicting the total number of HTML articles to PDF articles.

• “Req. by Issue Per Month (chart)” – Graph; A line graph depicting requests by issue.

• “Req. by Year per Month (chart)” – Graph; A line graph depicting the average monthly views of articles per year.

• “Article Views (chart)” – Graph; A bar graph depicting the views of individual articles.

• “Article Views Per Month (chart)” – Graph; A bar graph depicting the average number of individual article views per month.

• “Articles by Subscriber (chart)” – Graph; A bar graph depicting the views of articles by subscribing institutions.

• “Article req-country (chart)” – Graph; A bar graph depicting the number of article requests by country.

Teaching Survey Summary

Provided by: English Journal Teaching Shakespeare
Publication Type: Quarterly Journal Publication
Date provided: December, 2013
Copyright or Usage Restrictions:
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A series of graphs visualizing responses to Teaching Survey conducted in ____ by ____. Included graphs include:

• A table of the raw number and percentage of total respondents who teach individual plays from Shakespeare’s canon, sorted from most frequently taught to least frequently taught. Fields: Which of the Following Plays do you Now Teach or Have Taught in the Past?, Response Percent, Response Count.

• A bar graph of these findings.