OKW Data Awards Round 2, toolkits and requirements

Introduction

This forum topic is added following the feedback received by the first round of the Data Awards program. Its purpose is to serve as knowledge source and guide for the awardees on setting up a data collection toolset for the Data Awards program current Round. It is posted here to receive feedback by the OKW community, IoPA office, and the program (Data awards) awardees.

Collection tools

Open Data Kit (ODK)

Introduction:

The Open-Data-Kit software suit is one of the standard tools used for surveying within the humanitarian aid sector, it incorporates multiple tools to help design a survey, a database and API, a data exploration tool and an offline collection app for Android devices.

The process of using and configuring the tool has four main steps:

  • Getting a ODK-Central server, it can be a SAAS by ODK or hosted by the IoPA DevOps office.
  • Designing a survey that contains the basic questions to collect the data required by the Data Awards Technical Specification, and additional data used by your own additional purpose.
  • Collection of the data using the ODK-Collect app for Android devices or the online URL linked form.
  • Explore, filter and exporting the data on any of the formats specified by the Data Awards Technical Specification.

Links:

Hosting:
ODK-Central, self-hosting install and configuration. ODK Central - ODK Docs

Form:
Define a form using XLSForm. XLSForm - ODK Docs

Collection:
Use ODK-Collect Android app to collect your data. ODK Collect - ODK Docs

Kobo Toolbox:

Introduction:
It’s a fork of ODK with improved visuals and User Experience. It offers detail documentation for self-hosted servers and a free hosting service for Non-Profit organisations, it uses XLSForm, and a Standalone offline app for Android Devices in the same way as ODK.

Hosting:

Form:
https://support.kobotoolbox.org/new_form.html

Collection:Overview on Data Collection Tools β€” KoboToolbox documentation

Data filtering tools

OpenRefine:

Introduction:

OpenRefine is a data cleaning software tool, it works by creating projects, where you import CSV, JSON, SQL, etc. datasets, then it opens a table where you can filter, facet, sort and clean data using advanced tools like text taxonomy classification, or phonetics to cluster and homogenize similar words.

Link: https://openrefine.org/

This document is a work in process, and it may change after following the reviews of the IoPA office, community and stakeholders. Please provide your feedback down on the comments following the community engagement rules.

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