New Online Lab Network at UCSF

This morning UCSF’s McCormick lab announced the launch of LabCollaborate, a new website with the goal to “provide a way to easily share data, ideas and generally foster communication between labs as well as provide some useful tools for running the lab.”

I signed up to learn more about how it works. Here is what I have learned so far:

1. Lab Home Page: This is the page you see when you sign in. All the lab members profiles appear across the top, and you can see individual contact info and research interests (as well as update your own) by clicking on the pictures. As the first person to sign up the lab, you are an “admin”. Admins can add/remove lab members, edit library files and approve/delete friendships with other labs. You can extend these powers to any other user by clicking “Make admin” on their profile. If you want to.

2. Whiteboard: Here you can post comments or questions- they will be seen by your lab as well as your lab friends, but not by labs you are not friends with.

3. Friends: These are labs you want to keep in touch with and share data with. They can see and download all protocols, presentations and papers in your Library (unless marked “visible to my lab only”) as well as write on your whiteboard. A newsfeed to keep updated with what they’re doing is coming soon.

4. Libraries: These are collections of papers, presentations and protocols. Files can be tagged with keywords to organize into projects, ideas, lab members, whatever. And they are searchable! So you can group any number of protocols, literature references and presentations by whatever tag(s) you choose and find them all later with a simple search.

5. Ordering: The ordering system records vendor, quantity, and description as well as providing a direct link to the product page. It is also searchable to easily find past orders. Admins can mark orders as placed and the time of initial reqest and placement is recorded.

6. Find collaborators: The search box at the top of the page searches for words in the research interests of all labs and lab members on the network. So if you want to find other labs interested in “cancer”, just search and connect with new friends.

I am wondering whether – at some point – we can leverage the information LabCollaborate provides to enrich UCSF Profiles, and how on other hand LabCollaborate  can benefit from the UCSF Profiles data (tools).

I guess our tech team is aware of this. Looking forward to getting your thoughts, guys.

Using Research Networking Effectively in Academia: UCSF-CTSI Team Presents On National AMIA Panel

Three of us from the Virtual Home team at CTSI went to this year’s AMIA (American Medical Informatics Assoc) meeting in DC and presented on a panel with Griffin Weber of Harvard University. The panel was called “Four Steps to Using Research Networking Effectively at Your Institution”

Griffin spoke on cutting edge features of research networking tools, such as linked open data and social network analysis.

Eric Meeks of UCSF spoke on standard APIs, such as OpenSocial, to leverage a community of developers, I spoke about incentivize usage and understand your audience, and to round it out, Brian Turner spoke about using data, tools and strangers to improve user interfaces.

The panel presentation was a 90 minute break out session and we were happy to have a good turnout and an engaged audience. I think that the work that UCSF has put into the ‘social engineering’ of the tool has really paid off. Our usage and engagement numbers are on the rise and comparatively speaking, Griffin mentioned that our traffic is about 5-times that of what Harvard Profiles is currently getting.

In addition, Eric also had a poster session at the meeting!

The UCSF presentations will be up on Slideshare, available on the CTSI channel and via our individual UCSF profiles:

http://profiles.ucsf.edu/ProfileDetails.aspx?From=SE&Person=5333232
http://profiles.ucsf.edu/ProfileDetails.aspx?From=SE&Person=4621800
http://profiles.ucsf.edu/ProfileDetails.aspx?From=SE&Person=5333232

Personalized email checklist

As we consider the role that personalized email might play in helping connect people to our services, it’s useful to look at Matthew Hayes’ simple three-point checklist on adding value to personalized email communications. An excerpt:

“The best two sources of data to use for versioning are declared data (preference center/welcome program) and behavioral data (browsed and click data). A component of regular, calendared email marketing should be relevant. Preference center data is the most relevant at time of action or update. Integrate this data into welcome series emails when they have just selected their preferences. Another clear action that begs for follow-up is when customers update their profile. Deliver a tailored communication stream according to their updates to bring greater relevance to your communications with them.  Browsed and clicked data, although harder to implement, can give you the biggest response return. Try versioning a component of the message based on recent website browsed data and recent email clicked data. Both sources will add value to a component of regular communication.”

[Link]

Surprise: Twitter unpopular with scholars

Jason Priem, Kaitlin Costello, and Tyler Dzuba, graduate students from UNC, examined Twitter usage for over 8000 scholars from five American and British universities.

The results? Sorry Twitter. Scholars are just not that into you.

Read more:

Real-Time Stats from Google Analytics: Could we integrate the data with our UCSF Profiles activity stream and future dashboards?

I’m wondering what our tech team thinks about that…  

The “New Version” link is in the top right of Google Analytics. Real-Time reports are in the Dashboards tab (though they will move to the Home tab in the updated interface next week) .

More information

Follow

Get every new post delivered to your Inbox.

Join 462 other followers

%d bloggers like this: