Monitoring, Modeling, and Memory

Dynamics of Data and Knowledge in Scientific Cyberinfrastructures

Archive for the ‘Collaborative coding’ Category

Collaboration tools (shared by Jason Schultz)

Posted by dribes on April 8, 2011

Jason Schultz (UC Berkeley, Law) shared a series of tools he has been using for collaboration and to support qual. research. Links below:

 

David, Geoff,

Great to talk today. I will set up a bSpace project for us and issue logins, but I thought I’d also share my list of collaborative data sharing tools I’ve found. I would love to hear if your MMM group has any thoughts about them:

# Dedoose

* http://www.dedoose.com/

# Figshare
<http://figshare.com>

* http://figshare.com/ <http://figshare.com>

# Microsoft Azure Data Market

* https://datamarket.azure.com/

# Fluxdata

* http://www.fluxdata.org/default.aspx
* Fluxdata is “a curated site for exchanging scientific data and
papers within a small scientific community. Although the sight is
open for anyone to read, data contributions are made by a small
scientific community, and collaboration is primarily through
scientific papers. Deb is the curator for the site. Datasets have
terms of use and are only available to approved users, and
publications must be approved. Publication is available through
the site. The publication process initiates an approval workflow.
The site has a blog. The blog is used to push information about
the site. I also saw a few blogs that were personal accounts of
events.”

# CommentSpace

* http://www.commentspace.net/
* Video:
http://vis.berkeley.edu/papers/commentspace/video/CommentSpaceVideoFigure.mov
* “Commentspace.net is a community collaboration environment. It’s
primary goal is to promote new insights, discovered and shared by
the community, about proposed subject areas. Subject areas are
described though interactive visualizations, including timelines,
graphs, scatter graphs, and more. The community is encouraged to
comment, refute, or even post additional evidence.”

# InfoChimps

* http://www.infochimps.com/datasets

Best,
Jason

Posted in Collaborative coding, News, People | Leave a Comment »

A group repository for social science data

Posted by monmodmem on November 21, 2009

We are using NVivo to not only code our transcript data but to act as a data repository of source materials. NVivo not built to handle this second functionality in a collaborative environment, and as a result leads to the proliferation of source materials – both within NVivo and across multiple versions of files. The collaborative functionality allows for the proper integration of coding — but not of sources, which are just duplicated, and will be duplicated each time a site tried to merge their local master into the project master. This is okay to deal with on the small scale, but really breaks down at larger scales. Anticipating a couple of hundred interviews, we fear the consequences.

Assuming we can get a functional set of NVivo techniques and complementary social practices, we still face intellectual challenges of how to do this sort of large-scale collaborative coding. For instance, we have a constant tension between wanting to do “entrepreneurial” coding for a specific group’s interest or upcoming paper, and yet preserving a common set of codes that will allow us to compare between projects. Although difficult, this intercomparison is one of the distinguishing features of our research and giving it up would be (in some ways) giving up the game.

Since NVivo minimally supports the processes we need to perform, we have had to focus our efforts on social design. We have elaborate diagrams and descriptions of work flows for receiving and disseminating our coded data. Hopefully as we talk to the NVivo team we will be able to inform them of ways that they could move this burden from the social back into their technical design.

Posted in Collaborative coding, Reflections | Leave a Comment »

Zeroing in on collaborative coding

Posted by monmodmem on November 6, 2009

During the past 3 weeks of testing out our collaborative NVivo coding scheme, we have not only solidified our codes and their scope, but have had a chance to compare our coding styles. The big disparity at this point is the size of the coding chunks that are selected by each coder. Some are more inclusive of surrounding context, while others are tighter in their coding style.

We are pushing some of the task onto NVivo’s shoulders. The software allows us to code tightly (i.e. only the parts of a transcript directly relevant to the code), then easily “open up” to see more context around the coded selections.

As we move forward we will be creating new codes beyond our core set, but they will be added on a per-paper basis. The clean, consolidated, coded dataset will serve as a launch point for writing a paper. We’ll add new codesĀ  and share those among the authors of that paper to keep the central repository clean.

Now we just need to code like the wind! It’s tedious and time-consuming, but the activity itself expands your understanding of the interviews.

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Co-evolving: our codes and our understanding of them

Posted by monmodmem on November 6, 2009

Here’s the post from our October 2 call, delayed by the usual delay-o-rama:

Today’s conversation about coding was meant as a 10 minute “touching base” about how our coding is going and whether the codes are working for the interviews we have done. It turned into a lengthy discussion about the architecture of our codes and the use of codes to house disjunctive categories.We had some debate about intercoder reliability. On the one hand, such reliability seems difficult/impossible to achieve in our project and that codes mainly serve as signals for others on our team. On the other hand, we were concerned with having a large disconnect between the way each individual is using the codes, such as large differences in the number of codes used in one interview. We will revisit this in a couple of months and see what coding style differences are like after we have done more interviews.

We talked about recording our own conversation, with some scepticism about whether we would ever actually go back to the recordings. We will try it and see.

Our coding scheme is co-evolving with our understanding of it. This alone would make it difficult to share our data with others (an issue also facing some of our subjects).

Posted in Collaborative coding | Leave a Comment »

 
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