Submitted by admin on Thu, 05/23/2013 - 9:22am
The Suma Project: Integrating Observational Data Assessment Into Space and Service Design
Jason Casden, Lead Librarian, Digital Services Development, NCSU Libraries, Raleigh, NC
Bret Davidson, Digital Technologies Development Librarian, NCSU Libraries, Raleigh, NC
- Suma is an open-source, tablet-based app for collecting & analysing data about the usage of physical spaces & services. It supports all mobile devices, as well as desktop computers.
- This app contains a giant button to allow staff to easily record headcount. The student workers just hold the iPad at their side and click the large button when taking headcount.
- Suma uses Google Analytics to keep track of app usage.
- It’s a reusable tool that has the ability to be used across multiple departments & initiatives
- The Suma server uses PHP & syncs between the client & the server
- It exports data into CSV format & chart images
- Suma is hosted on GitHub; pull requests are welcome
- Includes installation docs & support requests
- Has the ability to run on a web server & MySQL database.
- For more information on the Suma project, please ask me for the PDFs of this presentation.
Submitted by admin on Thu, 05/23/2013 - 9:18am
Know Thy Project: What Creation and Analysis of an Online Data Stream Can Teach You About Output and Efficiency
R. Niccole Westbrook, Coordinator of Digital Operations, University of Houston Libraries, Houston, TX
- Every person on the team collects data
- Make sure that staff understand why the data they’re collecting is useful.
- Have a plan for all data collected.
- Use incentives.
- Log the hours spent collecting data into a calendar, such as Google calendar.
- It’s important to know how many hours are being put in on a project so that we can revise if needed.
- Have staff log any issues they’ve had with collecting data.
- Using forms within Google Docs (now called Google Drive) is a good way for staff to collect data from any location.
- These forms can be exported into Excel for analysis.
- Compare how much work has been produced year after year.
- Why has the workflow increased/decreased? In what ways can we improve?
- Make sure that data collection & analysis doesn’t take any more than 5-10 minutes per day.
- Flawed data is better than no data.
- Quality control decisions are made 1st with policies and then through data collection & analysis.
Submitted by admin on Thu, 05/23/2013 - 9:13am
Information in a Dash: Painless & Penniless Statistical Reports
Joyce Neujahr, Director of Patron Services, University of Nebraska at Omaha, Omaha, NE
Emily McIllece, Reference Associate, University of Nebraska at Omaha, Omaha, NE
- Libraries often have many statistics in too many places (ILS, LibGuides, databases, etc.).
- This library used Google Sites & Google Docs for statistics.
- The benefit of this was that the sheets were customizable, could be updated in real time, and they could choose who gets to see & edit the info. This data is also accessible anywhere, at any time.
- For an example of this library’s statistics, see https://sites.google.com/site/crisslibdash/.
- The graphs are linked to Google Spreadsheets and change automatically when data changes.
- Google Analytics are attached to the Dashboard, so you can keep track of how often statistics are entered.
- Keeping statistics in this way makes it easier to compile data for annual reports, campus newsletter, collection development (ILL stats), and accreditation.
- Having all library statistics in one place has greatly benefited this library. ILL statistics, in particular, have driven many of their collection development decisions.