Twitter Facebook Pinterest RSS

A modern work approach: sharing and collaboration.



" Sharing knowledge is not about giving people something, or getting something from them. That is only valid for information sharing. Sharing knowledge occurs when people are genuinely interested in helping one another develop new capacities for action; it is about creating learning processes."

Cloud based collaboration and sharing can improve our research workflow.
Research in the cloud
  
Sharing knowledge,  think: papers,books(legally), images, graphs,  etc... , can really speed up the research process by cutting out dead wait times.
Why should you waste time to search for an article your mate has already found and maybe readed and summarized?
 You shouldn't indeed. That's why you must start by setting up in mendely, or papers, or zotero shared libraries.
Life will then be easier, no  links to send no paper to scan/fax pure and simple web 2.0.

Collaborating not only can speed up your work, but can also be stimulating and fun.
You can collaborate by writing with someone, or talking you your colleague what about real time collaboration on the same project?

I will now picture a modern work approach, by no means perfect but sure useful when mastered.


  • First: think about your needs.
  • Second: start using dropbox to have a drag and drop sync folder shared with those you want to work with.

In this folder make subfolders for any type of file (e.g. graphs, pictures, drafts and so on.)
(avoid chaos, see first point, think before creating useless digital stuff.)
Dropbox is free and fast and secure, and keeps the history of your files.
If your computer breaks, get stolen or other misfortunes no one will yell at you because all datas are safe in a fluffy cloud.


  • Third: collaboration office and latex.

In my view latex isn't really optimized or suitable to collaborative writing.
But you can always make a latex  project's folder shared in dropbox.
Since i consider latex typesetting only the final beautification step of the work collaboration isn't really relevant.

Office documents, mostly text and tables, can be optimized for collaboration.
Software nedeed:

  1. office (either open office or microsoft's)
  2. google documents account 
  3. If you have a mac then download Insync.
  4. If you have windows and Microsoft's office then download google cloud connect
    If you have windows and use open office or if you have Ubuntu than download  oo2gd .

    UPDATE: installation of oo2gd step by step look here.

All of these software work really well and plenty of tutorial will tell you how to set them up.
You can then start collecting data in a new spreadsheet and in the same time your workmate.
(For a simple explanation watch the video below)


You will end up with a shared papers library a collaborative environment and in the same time most of your precious stuff will be safe and ready in a could backup: no more data losses. 
And most of all, in a free and multi platform way. 



Igor pro review (1st part)

Igor pro review.
(by wavemetrics , version 6.22a)

IGOR Pro is an interactive software environment for experimentation with scientific and engineering data and for the production of publication-quality graphs and page layouts.

Igor pro runs on windows and macintosh natively.
For a complete overview I suggest to browse wavemetrics site, linked above)

1st part of the review interface:
Igor pro interface elements.
 As you can see in the screenshot, the interface is quite different from the standard "excel-like interface" (like the one originlab offers).
Once you get used to it, with some very useful tricks, it really makes your data analysis faster.
I must admit though that under windows it doesn't look as good and polished as in osx, but the functionality is really the same.

The interface is composed by the following floating windows:
  • command windows
  • procedure windows
  • data browser
  • tables, graphs and layouts
By default procedure windows and data browser are hidden, you can show them from the menubar 
(windows-procedure window-procedure window & data-data browser respectively) .
What is incredibly nice and useful when mastered is that you can load data into waves(think columns of data), and just store them without showing, being still able to control them with the data browser.
With the command window you can make operations on your data.

The command window and the way you interact with data is the key to understand and either love or hate igor pro.
Forget excel and similar, you don't have a row based control of data.
What you get is a "terminal" type of interaction with easier control, with simple commands you can create data, alter colors, perform mathematical operations and so on.
What you also get is control over what you have done from the first second you have opened your experiment, you can then re-execute commands or recall the help file relative to that command. 

If you are somewhat scared of command line you can operate most of igor also with menubar, but you sort of lose the most interesting features of igor pro.

The procedure windows is another cool feature of igor pro.
In essence is where you  can write your own software routines using Igor´s built-in programming language. These routines are entered as text in the procedure windows.
This means that you can use additional procedure to organize your work or to re-use routines previously written. Igor ships with a lot of already written procedures, that you are free to explore and use if needed. 
In the procedure windows you can also have an overview of your macros.
I personally use the procedure windows to control my graph, and all the repetitive tasks.
 A practical example follows.

A procedure I've written to "automagically"add leggend, and name to the axis for a typical optical absorption graph.
What I have marked with 1,2,3 in orange are the buttons to access:
  • 1 procedure file information
  • 2 lock file, to avoid unintentional modifications 
  • 3 zoom text
The template box with downward arrow will open the already written procedures, and the procedures box will show the opened procedures.


Finally the data browser windows allow you to control your data.
Data browser window


Here you can create folders, rename delete and check your data waves. For maximum confort I suggest to tick the plot check box so that yo can see at a glance the shape of your waves.

Zoom of the quick plot area of the data browser.

That's a quick overview of the interface.
In my opinion you can either love it or hate it, i actually love it because of the control it gives you over the important steps of data analysis. 
Under mac osx the hybrid interface looks perfectly integrated, and most of all it really stable, no crashes at all.
But i must admit that under Windows 7 I also experienced no crashes at all.

Stay tuned for second part.









Igor Pro.

Igor Pro 




Multi platform, scriptable and easy to use in conjunction with matlab.
Quality graphs, and bombproof stability in osx and even under windows(tested windows 7, 64 bit).

 In depth review and and comparison(origin lab, qtiplot and scidavis and others) coming.


 Wish you all nice holidays.