[OKFN-IN] Fwd: [datameet] Open data workshop- Chennai, 2012

Sat Jul 14 05:37:16 UTC 2012

This may be of interest to some of you who are in chennai.

---------- Forwarded message ----------
From: Srinidhi SampathKumar <srinidhisampathk1 at gmail.com>
Date: Sat, 14 Jul 2012 10:21:49 +0530
Subject: [datameet] Open data workshop- Chennai, 2012
To:

*Hi,*
*
*
*In the spirit of furthering the conversation of open data, and to keep the
momentum of the open data camp going, Transparent Chennai is organising a
three day workshop on understanding, visualising and mapping data in
Chennai in August 2012.
Complementing previous events in Bangalore and Hyderabad, this event will
focus on training activists, researchers and students to work with data.
Different from a data camp, this will be a workshop where participants will
learn about open data, data visualisation, spatial data and practical
issues that come up when working with data in various forms.
*

*Working with Data:*
* A Workshop on Understanding, Visualising and Mapping Data
Chennai, August 2012
A Transparent Chennai Event
Developed and delivered by Sajjad, Sumandro and Shashank

DATES
3rd, 4th and 5th of August 2012.

BACKGROUND
After the first Data Meet in Bangalore, there was a wide discussion among
people who are interested in open data but who do not have the skill set or
technical background to materialise their thoughts of making the data open.
The whole idea of training was formulated through these limited yet useful
discussions. Experts in the field of open data were contacted to provide
hands-on training to the people who use data the most for various crucial
reasons.

Please register here: *
https://docs.google.com/spreadsheet/viewform?formkey=dFVWNWR6ZXdCeTlqVHFwLU9TQkZraFE6MQ
 *

WHAT YOU SHOULD EXPECT TO LEARN

   1. Understanding various formats of data, diverse possibilities of data
   visualisation and effective tools for doing so, with a special focus on
   web-based tools.
   2. How to think through projects involving collection, processing and
   visualisation of data.
   3. Introduction to software packages and methods for visualising
   quantitative data, creating geo-visualisation and undertaking participatory
   mapping.
   4. The connection between data technologies and rights to access and use
   data.

WHAT YOU SHOULD NOT EXPECT TO LEARN

   1. Statistics and econometrics: though you should learn elements of
   these to work with data.
   2. Database softwares: though knowledge of SQL and other databases are
   quite important when working with large data sets.
   3. Computer languages: though some languages like Python and JavaScript
   are very helpful in working with data.
   4. Anything related to Big Data: though we will briefly discuss what Big
   Data means.

WORKSHOP
It will be a three day workshop. The first day will demystify various
aspects of working with data ranging of technical understanding of various
data storage formats to questions of legality and data rights. The second
day will focus on data visualisation, and collecting, cleaning, managing of
data). Sessions on both these days will involve presentations on the topics
concerned but at the same time will demand inputs from the participants
regarding their own experiences in working with data. This will ensure a
dialogue between actual data challenges felt by the participants in their
own work and technical possibilities and methods.
The third day will have three longish successive sessions on specific data
visualisation tasks -- gis and geo-visualisation, participatory mapping and
web-based data visualisation. These will be hands-on sessions where the
participants will simultaneous learn about the tools and start working with
them.

SESSIONS
Day 1
What is data? What is open data? What is spatial data?
Introduction to data, various types of data, rights to access and
manipulate data

What is ‘data format’? In what forms do data come?
Introduction to various formats of data, useful formats, databases and
stand-alone files

What can be done with data?
Analysis, visualisation, stories, advocacy

Working with quantitative data
Introduction to types of quantitative data formats and softwares to work
with such data

Working with spatial data
Introduction to types of spatial data formats and softwares to work with
such data

Day 2
What is data visualisation?
Introduction to data visualisation, history, types of visualisation,
exploratory visualisation

Tools and methods of data collection
Collecting and storing data of different types, tools for scraping and
crowdsourcing data

Tools for data visualisation
Introduction to tools for cleaning, organising and visualising quantitative
data

Tools for geo-spatial visualisation
Introduction to tools for cleaning, organising and visualising spatial data

Day 3
GIS and geo-visualisation
GRASS, Quantum GIS, MapBox and TileMill, GeoCommons, Open Layers and Leaflet

OpenStreetMap and participatory mapping
Introduction to OpenStreetMap, participatory mapping using GPS device,
satellite imagery and paper maps

Web-based data visualisation
ManyEyes, Google Charts, d3, R*
* *
*Regards,*
*Srinidhi*
*09962132240*

-- 
__________________________________________________________
Sridhar Gutam PhD, ARS, Patent Laws (NALSAR), IP & Biotech. (WIPO)
Senior Scientist (Plant Physiology) Central Institute for Subtropical
Horticulture <http://www.cishlko.org>
Joint Secretary, Agricultural Research Service Scientists'
Forum<http://www.icar.org.in/en/node/1168>
Convener, Open Access India <https://www.facebook.com/oaindia>
Rehmankhera, Kakori Post
Lucknow 227107, Uttar Pradesh, India
Phone: +91-522-2841022/23/24; Fax: +91-522-2841025
Mobile:+91-9005760036/8005346136
Publications: http://works.bepress.com/sridhar_gutam/
Google Scholar: http://goo.gl/EQAwr
<https://www.facebook.com/gutamsridhar>
<http://www.linkedin.com/in/sridhargutam>
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