Collaborative Librarians

Data don't tell the whole story.

CI Article:Tensions across the scales: Planning infrastructure for the long-term January 17, 2011

Filed under: CI Article,Cyberinfrastructure,eScience — Betsy Rolland @ 12:05 pm

Ribes, D., & Finholt, T. A. (2007). Tensions across the scales: Planning infrastructure for the long-term Proceedings of the 2007 International ACM Conference on Supporting Group Work (pp. 229-238). New York: ACM.

Ribes & Finholt describe nine tensions inherent in the move from short-term to long-term infrastructure for science. These tensions are the intersection of three “concerns of actors” and three “scales of infrastructure.” Their aim is not to prescribe how to build infrastructure for the long-term, as no one yet knows how to do that, but to define a set of researchable questions around this topic so that we can begin to get an idea of what to pay attention to.

The first tension Ribes & Finholt discuss is “Project vs. facility,” noting that most CI endeavors are funded as projects, with finite timelines and scopes and no clear path to renewal of funding. This discourages the kind of long-term planning and thinking that could add stability to a CI infrastructure and most likely leads to wasting money. Rather than investing in one CI project for a domain community, funding agencies fund smaller projects, each of which builds its own CI.

Ribes & Finholt’s second tension speaks to “Individual vs. community interests.” This is a common theme in discussions of CI — building large infrastructure projects to support science requires not only computer scientists but also domain experts. Yet the reward system for scientists doesn’t give credit for that type of work. If  only a domain expert can generate appropriate metadata for a database of genetic structures but the time s/he spends on that task doesn’t help in the race toward tenure, the expert won’t be able to justify the time spent. But then the whole community loses out. This same argument applies to proactively preparing data to share, submitting to open access journals that aren’t yet valued by the community, etc. Some of the issues are also explored in the tension “Research vs. development.”

After describing the other tensions, Ribes & Finholt conclude with an emphasis on the human side of infrastructure, drawing upon the Charlotte Lee, et al, paper on human infrastructure (reference below).  Ribes & Finholt note: “[h]owever, while the work of design and development is ‘human,’ the challenges are more comprehensively described as technical, organizational and institutional. In considering design and enactment of infrastructure it is best to address ‘hard and soft’ foundations hand-in-hand, they are usually more intimately entwined than any raw distinction would suggest (236)” (emphasis in original).

One of the things I like about this article is that Ribes & Finholt focus not only on the domain scientists and computer scientists themselves but the project managers, as well. This group is often hidden or forgotten in the writing on CI but is a critical path in the success or failure of a project.

 

Lee, C. P., Dourish, P., & Mark, G. (2006). The human infrastructure of cyberinfrastructure Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work (pp. 483 – 492). New York: ACM.

 

Making sense of Cyberinfrastructure January 17, 2011

Filed under: Cyberinfrastructure,eScience — Betsy Rolland @ 9:59 am

As I try to make sense of the literature in the area of CI, I’ve begun compiling a reading list and plan to start writing notes here on the blog about the various articles I’m reading. Even as a trained, though non-practicing, librarian, I struggle with wrapping my arms around this body of literature, keeping everything organized and holding the various arguments straight in my head.

The field of CI is especially daunting, in my opinion, because it’s so new and so interdisciplinary. Its leaders hail from a wide variety of disciplines, including information science, technical communication, the hard sciences, anthropology, sociology, social psychology, and more. Each brings his/her disciplinary background to their writing, leaving new students to tussle with not only the new CI material but whatever schools of thought the author represents. It adds great diversity and depth to the field but can be a bit intimidating for new students, I think.

How do others approach immersing themselves in a new field? What do you do first, how do you organize the actual literature, how do you build knowledge in a new domain?

 

What is successful science? December 17, 2010

Filed under: Success — Betsy Rolland @ 11:51 am

One of the key questions in developing information systems for science is, how does a given system make the project more successful? If I’m asking investigators to invest time and money into a new system, there has to be a tangible benefit. But this begs the question, what is success in science? If we can’t measure success in science, how can we demonstrate that a system makes the project more successful? It’s not like a clinical trial, where you can measure the success of one project with a portal against the success of a project without one. Scientific projects aren’t directly comparable. There’s also the question of the difference between a successful project and a successful investigator.

Kristi Holmes (@kristiholmes) has tweeted several interesting links recently focused on measuring science, especially re-examining current measurements like citation analysis. Here are just a couple interesting ones:

Research and Productivity Measurement Webcast, Organized by Elsevier & SLA DC Chapter

New Measures of Scholarly Impact, from Inside Higher Ed

Purpose in scientific research, blog post from Culturing Science, discussing how the grants system forces scientists to think within the box of their current research, unable to follow interesting discoveries

 

 

RML Rendezvous Presentation December 5, 2010

Filed under: Presentations,SLA — Betsy Rolland @ 1:08 pm

Emily Glenn and I presented an abridged version of our SLA conference presentation to the Pacific Northwest Region (NN/LM PNR) Regional Medical Library (RML) Rendezvous series on July 14. You can listen to the recording here.

 

Curation without librarians November 30, 2010

Filed under: Curation — Betsy Rolland @ 8:26 am

It seems everywhere I look, I come across another article on resource curation. Here is one focused on curation of web content: Curation and the Human Web. Take a look at the visualization at the bottom, which links to more stories about web content curation.

This one is more in my realm of interest: No rest for the bio-wikis, a short article discussing the increase in wikis for scientists.

The two common threads between these are (a) the retreat from a belief in the superiority of machines to create collections of resources; and (b) the absence of librarians. It’s as though the concept of curation of resources is completely new, instead of a core skill of a field with centuries of experience. Where are the librarians? Are they inserting themselves into these conversations?

 

SLA Research Study November 29, 2010

Filed under: Housekeeping,Professional Development,SLA — Betsy Rolland @ 11:09 am

Well. It’s been awhile, but I’m happy to announce that the final report (PDF) of our SLA Research Grant has been published at SLA and the article has been published in Information Outlook. (Note: this is subscriber-only content and still links to last month’s edition.) I am so grateful to all of our participants for opening their lives to us, and I hope readers find the report useful.

I would highly encourage everyone to engage in this kind of professional research, even at a smaller scale. SLA has discontinued their research grant program until further notice, but I really hope they restart it soon. I not only learned a great deal about biomedical librarianship and the direction of research support, I found out that I really loved doing research.

Thanks to my experience with the SLA grant program, I began a PhD program this fall in the department of Human Centered Design & Engineering (HCDE) at the University of Washington. My research will focus on the support and coordination of collaborative biomedical research under the watchful eye of my advisor Dr. Charlotte Lee, an expert in cyberinfrastructure. Professor Lee also directs the Computer Supported Collaboration (CSC) Laboratory.

In the weeks ahead, I hope to comment more on the experience of doing this research project, as well as on what I’m learning in school. Please feel free to leave any feedback on the report or article here in the comments section.

 

SRA Presentation October 26, 2009

Filed under: Information Problems,Presentations,SRA — Betsy Rolland @ 7:38 pm

Emily Glenn and I gave a presentation last week at the Society of Research Administrators meeting here in Seattle. We had a really great, if small, audience of research administrators who were already utilizing librarians in new and nontraditional ways. Interestingly, the people we spoke with afterward were from Europe, Australia and Canada and were all looking for ways to utilize their information professionals more.

Here’s the presentation. Please let us know if you find it useful, and please cite appropriately if using elsewhere.

">

 

Proof October 15, 2009

Filed under: Collaboratories,Information Problems — Betsy Rolland @ 8:00 am

One of the interesting things about working with scientists is how rational they are. Most of the time. They really seem to believe that the world operates under a set of rules and principles and that if they just try hard enough and ask the right questions, they’ll get everything all figured out. I’m not sure that’s true but that’s why they’re scientists, and I’m not!

I wrote recently about how the major problems of collaborative research can be conceptualized as information problems. So, we should be able to just tell scientists that and persuade them of its truth. Unfortunately, I don’t think it’s going to work that way. I think we’ll need cold, hard facts. In short, we need to prove that having information professionals on your collaborative research team makes all the difference.

How to do that, though, is a bit tricky. How do you prove info pros make a difference? Collaborative projects are generally long and involved, so it’s not easy to compare one with an info pro and one without. And what would we measure? The things that are important to scientists, as far as I can tell, are getting done quickly, saving money and publishing first. If we can find a way to show collaborative science that we can help them achieve those goals, I think we have a case.

 

SLA DBIO Online Poster Session October 15, 2009

Filed under: Professional Development,SharePoint,SLA — Betsy Rolland @ 6:55 am

SLA’s Chemistry Division is having an online conference October 15-29th. Check out the program.

As part of this conference, our poster from the Washington DC conference’s DBIO poster session on ”Innovations and Best Practices in Biomedical and Life Sciences Libraries” will be available for viewing and comments. Stop by and let us know what you think!

Poster: Showing the Way in SharePoint: What Every Librarian Should Know

Discussion forum

I’m looking forward to taking a look at the other posters, since Emily and I didn’t really get a chance to check out what others had created.

 

Collaborative science as information problems October 14, 2009

Filed under: Collaboratories,Information Problems — Betsy Rolland @ 8:35 pm

I recently started another job, so now I’m working on two different collaborative research projects as the project manager. I have to say, having two 50% jobs is harder than I thought it would be. But it’s been quite interesting comparing the two. One is funded internally, the second is grant-funded, which means they function quite differently, really challenging my very young research administration skills (IRB, grants management, etc).

It’s also given me a chance, though, to test out my theory: The problems faced by collaborative researchers are not generally scientific problems, but information problems. I’m not talking about the scientific questions the research is designed to answer, but the problems of collaboration itself, the issues that make collaborating hard.

What I’ve noticed is that scientists are aware of these issues, but sort of shrug them off, as the way things work. They think of these issues as intractable problems with no real solutions except hiring more people, and who has the money to do that? But I’m convinced that most of these problems, if not all of them, could be solved by an info professional, utilizing the skills we learned in school and on the job.

Some of these problems include managing the overwhelming amount of information (and other artifacts) generated by collaborative work, especially in really big collaborations, difficulty in effectively communicating with the others in the group, finding the information one needs when one needs it, trusting fellow collaborators, writing papers with collaborators on the other side of the world… you get the picture. Scientists quickly get frustrated and tune out.

How can an information professional help? Librarians are trained in organizing information, assessing the needs of their users and developing solutions to meet those needs. Most have strong technology backgrounds that allow them to choose the right tools for the job and deploy them in a way that enhances the project instead of getting in the way.

There are solutions to these problems. We just need to convince collaborative science — and other collaborative endeavors — that we have them. More on that soon.

 

 
Follow

Get every new post delivered to your Inbox.