General introduction to Mobile Data Collection
Transcript of General introduction to Mobile Data Collection
Training agenda
Introduction
Chapter 1: Mobile Data Collection : Introduction and Principles (morning)
Chapter 2: Taking Open Data Kit (ODK) and Kobo in hand (afternoon)
Chapter 3: Plan your data collection methodologically (1/2 day)
Chapter 4: Basic and advanced encoding of a formusing XLS form, survey standard operationalprocedures, data security (2 days)
Chapter 5: Data management (0,5 day)
Chapter 5: Data cleaning (0,5 day)
Chapter 5: Data analysis (1 day)
2
Objectives of the training
Understand the Mobile Data Collection main advantages and drawbacks, when to use it or not
Be able to set a mobile data collection:
– Design a simple and complex survey (technically and methodologically)
– Deploy it in the field
– Manage the data
– Analyze the results
3
What?
Non-profit NGO specialized in mapping and information management services for humanitarian organizations (H2H)
Based in France
Created in 2006
5
CartONG
CartONG - Who?
November 2017 6
The Headquarters in Chambéry
But teams often in the field with our partners
Multidisciplinary salaried team and volunteer team
Our functioning modes
Directly financed « Humanitarian to Humanitarian » interventions for ourpartners
Research projects funded by donors, for example on the use of drones in the humanitarian field (ECHO/FSD)
Volunteer projects for smallassociations, such as:
– Missing Maps projects
– mapping of any AIDS-relatedinitiatives in Madagascar
To know more: http://drones.fsd.ch/, https://humanitarian-nomad.org/, http://cnls.cartong.org/ , http://www.missingmaps.org/
8
CartONG
Mapping & GIS (1/2)
Help organisations with their long-run GIS strategy
Help gather information, create links betweenorganisations
Set up long-term desktop & webmapping solutions
9
Information Management and MDC
Develops and uses MDC since 2009
Various training courses provided to many partners(UNHCR, UNICEF, Solidarités, REACH, Caritas, Terre des hommes, Bioforce, SOS Faim etc.)
Large scale deployment, e.g. SENS (several dozendeployments)
Build MI capacity overall, focus on training and development of sustainableprojects
Regular benchmarking of solutions for
partners shared with thecommunity if
possible (see blog.cartong.org)
11November 2019
Capacity building (1/2)
Since 2006, for example:
– Training sessions inter and intra-NGO…
– CartoBlog: technical blog to share good practices & tips
Open to collaborations, ourprojects are always based on the requirements of a partner(INGO, local community…)
http://www.cartong.org/capacity-building
12
Capacity building (2/2)
The GeOnG, biggest(independent) international conference on the topic of humanitarian GIS
– organized every 2 years in Chambéry, France (70 organisations present in 2016)
– Its aim: capacity building, exchanges between NGOs, international organisations, scholars and the private sector on current practices and upcoming challenges
13
The CartONG/Terre des hommes partnership
Collaboration since 2013 – started off with one delegation (BFA) and is now transversal to HQ & field
Memorandum of Understanding since 2015
Type of activities :
– Tool & methodology implementation
– Capacity building (trainings, documentation, etc) Formations / tutoriels
– Strategical support
– Support for technical recruitments
– Studies (needs analysis, benchmarkings etc)
– Hotline ([email protected])
– Tool customisations….
14
Focus Mobile Data Collection
Nb of delegations using MDC:
– In 2013: 1
– Beginning of 2017: 12 (+ 4 regional trainings in 2017)
Nb of people aware at HQ:
– In 2015: 3
– Beginning of 2017: 25
Thematics: WASH, Protection, JJ, Health
Example Irak (in 1 year):
– 38 surveys deployed
– 11881 submissions
15
What is a data collection / a survey ?
A data collection is the action of obtaining and compiling information
A survey is the methodical research of specific information.
19
Exercise
Can you give me a list of examples that you use in your projects:
– of data collection
– Of surveys
20
Collection of The data
Examples of surveys
Baseline survey
Market survey
Knowledge Attitudes Practises surveys
Socio-economic surveys
post distribution surveys (PDMs)
Nutrition Surveys
water points attendance surveys
Feedback surveys
Etc.
April 2017 21
A major game changer
Mobile technology is a big major step in Information Management (IM)
Now it is possible “live” to :
MDC- introduction and principles
What is mobile data collection (MDC)?
MDC: using phones (mostly smartphones or tablets) for data collection instead of paper forms
Wide range of solutions depending on the operating system, the requirements (SMS,export formats, online/offline, cloud storage, paying or not…)
Tested by CartONG since 2009, used at a large scale since 2010
September 2014 24
MDC- introduction and principles
History of the technologyMDC- introduction and principles
1983 1992 19991996 2003 2010
First mobile
Motorola DynaTAC
8000X
First mobile
mass-
produced
Nokia 1011
Tactile
screenIphone
First PDA (Personal Digital
Assistant) mass-produced
Palm Pilot
First tablet
Mass-produced
Ipad
20072002
Smartphone(PDA + email)
Blackberry 5810
2008
Android (Open source
operating
system)
HTC G1
First integrated system
PDA-GPS
Garmin iQue 3600
First mobile with
3G (better
bandwidth)
Nokia 7110
1998
First portable
GPS Garmin
Etrex First mobile
using
WAP(Wireless
Application
Protocol)
Nokia 7110
Known use in Terre des hommes (slide from 01/2017)
27
Burkina (since 2013)
• Biannual evaluation of foodsecurity in certain areas
• Follow up of children from 0 to 5
Philippines (2014/2015)
• Follow up of shelterconstruction
Guinea (since summer 2015)
• Follow up of knowledge and medical practises concerningEbola in health EvaluatingWASH needs in differentschools/health facilities
Mali (since summer 2015)
• Evaluation of communityhealth associations
Irak (since spring 2016)
• Market evaluations (access to resources)
• IDP- localisation and information on sites
• Post Distribution Monitoring of hygiene/Winter/NFI/Cash
Tdh Ukraine (depuis
printemps 2016)
• Cash/livelihood householdsurveys
Exercise
Organize yourselves in 2 groups and list all the advantages and disadvantages that you see for mobile data collection (compared to paper data collection)
28
MDC- introduction and principles
Benefits
30
MDC- introduction and principles
Better data quality (input controls, skip patterns, inbuild calculations)
Faster data entry (no double entries)
Results ready for analysis as soon Internet is available (3G – Wifi)
Cheaper if used frequently
One tool for pictures, GPS, videos, bar codes, signatures etc- multi-language possible
Interviewers go lighter in the field
Disadvantages
31
MDC- introduction and principles
Requires longer training & more IT skills in project
Longer survey preparation
Survey is not as visual as it can be on paper
Fragile technology and expensive at first
Dependance on electricity
Can be a safety issue if not managed properly
Not adapted for qualitative surveys
Can be intimidating for some / create distance with the person interviewed / not appropriate in some contexts