• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar

Publish What You FundPublish What You Fund

The Global Campaign for Aid and Development Transparency

  • RSS
  • Twitter
  • Vimeo
  • Youtube
  • LinkedIn
  • Facebook
  • Instagram
  • Bluesky

NEWSLETTER

CONTACT

  • Why it matters
    • Why transparency matters
    • Data use examples
    • Research into aid transparency
    • The Story of Aid Transparency
    • What you can do
    • Case studies
  • Aid Index
    • 2024 Index
    • 2022 Index
    • Comparison Chart
    • Methodology
    • Index Archive
    • Tools
    • The Power of the Aid Transparency Index
  • DFI Index
    • DFI Transparency Index 2023
    • DFI Research
    • DFI Transparency Tool
    • FAQs
  • Our Work
    • Women’s Economic Empowerment
    • Localisation
    • Mobilisation
    • Climate Finance
    • UK Aid Transparency
    • Gender Financing
    • Humanitarian Transparency
    • US Foreign Assistance
    • IATI Decipher
    • Webinars
    • Work Under Development
  • News
    • Reports
    • News
    • Events
    • Blog
  • About Us
    • Board
    • Team
    • Our transparency
    • Our Funders
    • Jobs
    • Annual Reports
    • Friends of…
    • FAQs
  • Training
Show Search
Hide Search
Home / Accordion Items / WHAT DO YOU MEAN BY “FORMAT” OF THE DATA? HOW DID YOU SCORE DATA FORMATS?

WHAT DO YOU MEAN BY “FORMAT” OF THE DATA? HOW DID YOU SCORE DATA FORMATS?

By Toby Trembath | Jan 13, 2019 |

Information published in machine-readable formats is presented in a structured way (not free text) that can be read automatically by a computer. Formats such as XML or spreadsheets (XLSX, CSV) are machine-readable formats. Data in traditional word-processed documents, HTML and PDF files are easily read by humans but are difficult for machines to interpret. Publishing data in a structured, machine-readable open format allows activities of different organisations to be quickly collected and compared. By contrast, comparing activities across multiple organisations or countries would require searching multiple websites and aggregating information published in different PDF files. This difference is reflected in the Index scoring, whereby organisations can get more points on indicators published in machine-readable formats. Data published in the IATI Standard, the only open standard for aid and development finance data, scores highest, followed by data published in other machine-readable formats, then websites and finally PDF files.

For details on the scores given per format, please see the 2022 technical paper.

Primary Sidebar

NEWS Topics

Africa Agriculture Aid transparency Aid Transparency Index Australia Canada Climate Change Data Revolution Data use Data Visualisation Development Finance institutions DFI Transparency Tool European Commission Financing for Development France Freedom of Information Gender Germany Humanitarian International Aid Transparency Initiative Japan Jobs Joined-up data Kenya Letters Local funding Localisation Locally led development MDGs mobilisation Newsletter OECD Open data Open government Press Releases Publish What You Fund Road to 2015 Sustainable Development Goals UK United Nations US USAID Webinar Women's Economic Empowerment World Bank

Twitter (X)

  • Contact Us
  • Copyright
  • Privacy Policy
  • RSS
  • Twitter
  • Vimeo
  • Youtube
  • LinkedIn
  • Facebook
  • Instagram
  • Bluesky

Publish What You Fund. China Works, 100 Black Prince Road, London, SE1 7SJ
UK Company Registration Number 07676886 (England and Wales); Registered Charity Number 1158362 (England and Wales)