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Welcome!

Techniques Over Tools

Why Tableau Current Academic Standard Speed Analysis Data Layer Cloud-Based Drag and Drop/WISIWIG Free (Public) Beautiful

But also because I am concerned about statements like these in professional literature. “In the end, the authors found most success generating data bubbles using Microsoft Excel (version 2010), which is probably familiar to the widest audience and requires no special programming skills.” – Jannette L. Finch and Angela R. Flenner, College of Charleston Excerpt from “Using Data Visualization to Examine an Academic Library Collection” Forthcoming, College and Research Libraries

We cannot cling to Excel for data presentation because it is familiar and we don’t want to have to learn to code.

AND we will only begin to understand researcher data needs when we begin to treat our data as worthy of analysis and visualization.

How will applying visualization enhance collection assessment?

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Historically, we’ve focused on: Usage Cost Content

Using Subject Experts to Super Power Collections Data Create Criteria for Analyzing the Collection Integrating Systematic Review into Acquisitions Calendar

Other Data Integration Opportunities to Consider for Collection Assessment Transaction Logs eResource Help Desk Tickets FTE info

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We need to change.

Stop formatting spreadsheets for casual review.

Use spreadsheets to feed visualizations, provide narrative/stats for the detail-oriented.

Use formulas from injestible sheets to create standard sheets as required.

Let’s form a committee to end duplicative data entry.

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The usual suspects.

Subject Expert Review https://uhlibrary.az1.qualtrics.com/jfe/previ ew/SV_0rD9BlmbMCDnCGV

What information can we capture? Management Related Information Content Based Information Disciplinary Value Major User Group(s) User Experience Assessment Historic Information

Creating a Database of the Information We Need.

Layers of Information Lenses for Assessment

Decision-Based Evidence Making and Evidence-Based Decision Making TM Lisa Hinchcliffe, 10/31/2016, LAC Keynote

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Combining cost, usage, content, and qualititative information.

Applying the subject assignments: 1) Databases 2) Monographs 3) Serials Fund Codes

Spreadsheet available upon request. Email me.

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SAG Dashboards Visualization with analysis/ interaction points by: Month, Vendor, Spend, Usage

Database Review Sheet More detailed view available upon request

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Moving towards centralized Subject Area Dashboards.

Developing subject-level dashboards for high needs areas.

Critical to success: 1) Alignment with Existing Processes 2) Clear Goals/Action Points 3) Subject Liaison Participation 4) Pilot Projecct Flexibility

Next: Facilitating and building a community of practice in collection data visualization.

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