This post originally appeared on ACRL Tech Connect on April 9, 2012
The academic world has been talking about gamification of learning for some time now. The 2012 Horizon Report says gamification of learning will become mainstream in 2-3 years. Gamification taps into the innate human love of narrative and displaying accomplishments. Anyone working through Code Year is personally familiar with the lure of the green bar that tells you how far you are to your next badge. In this post I want to address a related but slightly different topic: personal data capture and analytics.
Where does the library fit into this? One of the roles of the academic library is to help educate and facilitate the work of researchers. Effective research requires collecting a wide variety of relevant sources, reading them, and saving the relevant information for the future. The 2010 book Too Much to Know by Ann Blair describes the note taking and indexing habits taught to scholars in early modern Europe. Keeping a list of topics and sources was a major focus of scholars, and the resulting notes and indexes were published in their own right. Nowadays maintaining a list of sources is easier than ever with the many tools to collect and store references–but challenges remain due to the abundance of sources and pressure to publish, among others.
New Approaches and Tools in Personal Data Monitoring
Tracking one’s daily habits, reading lists and any other personal information is a very old human habit. Understanding what you are currently doing is the first step in creating better habits, and technology makes it easier to collect this data. Stephen Wolfram has been using technology to collect data about himself for nearly 25 years, and he posted some visual examples of this a few weeks ago. This includes items such as how many emails he’s sent and received, keystrokes made, and file types created. The Felton report, produced by Nick Felton, is a gorgeously designed book with personal data about himself and his family. But you don’t have to be a data or design whiz to collect and display personal information. For instance, to display your data in a visually compelling way you can use a service such as Daytum to create a personal data dashboard.
In the realm of fitness and health, there are many products that will help capture, store, and analyze personal data. Devices like the Fitbit now clip or strap to your body and count steps taken, floors climbed, and hours slept. Pedometers and GPS enabled sport watches help those trying to get in shape, but the new field of personal genetic monitoring and behavior analytics promise to make it possible to know very specific information about your health and understand potential future choices to make. 23andMe will map your personal genome and provide a portal for analyzing and understanding your genetic profile, allowing unprecedented ability to understand health. (Though there is doubt about whether this can accurately predict disease). For the behavioral and lifestyle aspects of health a new service called Ginger.io will help collect daily data for health professionals.
Visual cues of graphs of accomplishments and green progress bars can be as helpful in keeping up research and monitoring one’s personal research habits just as much as they help in learning to code or training for a marathon. One such feature is the personal reading challenge on Goodreads,which lets you set a goal of how many books to read in the year, tracks what you’ve read, and lets you know how far behind or ahead you are at your current reading pace. Each book listed as in progress has a progress bar indicating how far along in the book you are. This is a simple but effective visual cue. Another popular tool, Mendeley, provides a convenient way to store PDFs and track references of all kinds. Built into this is a small green icon that indicates a reference is unread. You can sort references by read/unread–by marking a reference as “read”, the article appears as read in the Mendeley research database. Academia.eduprovides another way for scholars to share research papers and see how many readers they have.
Libraries and Personal Data
How can libraries facilitate this type of personal data monitoring and make it easy for researchers to keep track of what they have done and help them set goals for the future? Last November the Academic Book Writing Month (#acbowrimo) Twitter hashtag community spun off of National Novel Writing Month and challenged participants to complete the first draft of an academic book or other lengthy work. Participants tracked daily word counts and research goals and encouraged each other to complete the work. Librarians could work with researchers at their institutions, both faculty and students, on this type of peer encouragement. We already do this type of activity, but tools like Twitter make it easier to share with a community who might not come to the library often.
The recent furor over the change in Google’s privacy settings prompted many people to delete their Google search histories. Considered another way, this is a treasure trove of past interests to mine for a researcher trying to remember a book he or she was searching for some years ago—information that may not be available anywhere else. Librarians have certain professional ethics that make collecting and analyzing that type of personal data extremely complex. While we collect all types of data and avidly analyze it, we are careful to not keep track of what individuals read, borrowed, or asked of a librarian. This keeps individual researchers’ privacy safe; the major disadvantage is that it puts the onus on the individual to collect his own data. For people who might read hundreds or thousands of books and articles it can be a challenge to track all those individual items. Library catalogs are not great at facilitating this type of recordkeeping. Some next generation catalogs provide better listing and sharing features, but the user has to know how to add each item. Even if we can’t provide users a historical list of all items they’ve ever borrowed, we can help to educate them on how to create such lists. And in fact, unless we do help researchers create lists like this we lose out on an important piece of the historical record, such as the library borrowing history in Dissenting Academies Online.
Conclusion
What are some types of data we can ethically and legally share to help our researchers track personal data? We could share statistics on the average numbers of books checked out by students and faculty, articles downloaded, articles ordered, and other numbers that will help people understand where they fall along a continuum of research. Of course all libraries already collect this information–it’s just a matter of sharing it in a way that makes it easy to use. People want to collect and analyze data about what they do to help them reach their goals. Now that this is so easy we must consider how we can help them.
