#IODC18 Focuses on Gender, Regional Networks, Critical Review of Open Data Economic Impact
21 November 2018
In late September, more than 1,500 participants and 200 speakers gathered in Buenos Aires for the International Open Data Conference. Throughout the conference, we noted positive developments and persistent challenges for a diverse and growing open data community.
The positives: increasing recognition of gender data value, strengthening regional networks and a renewed role for national statistics offices
NRGI and a number of organizations are exploring how the exploitation of natural resources impacts men and women differently. IODC featured a renewed focus on the need for better gender disaggregated data and a call for stronger inclusion across open data and civic tech communities. To this end, the conference featured the first Do-A-Thon, a one-day collaborative work sprint organized by Open Heroines, a network aiming to advance gender inclusion and diversity.
From left, NRGI’s Anders Pedersen, Aye Kyithar Swe and Zira John Quaghe at the 2018 International Open Data Conference in Buenos Aires.
Strengthening regional connections between sector-focused organizations and open data organizations working in specific regions was another theme. NRGI's Zira John Quaghe joined a side event on the Africa Data Revolution, which reviewed existing data ecosystems.
At an Asia-Pacific regional session, NRGI's Aye Kyithar Swe presented lessons learned from jade data programing in Myanmar, emphasizing the importance of limited data availability and limited data skills among civil society. She also pointed to a lack of public awareness of data privacy. While the Asia-Pacific region is seeing increased open data activity, only limited efforts are made to ensure its sustainability. In addition, there is a persistent lack of trust between governments and civil society and the civic tech community. Participants said regional collaboration can pay off by leveraging technical skills from data actors and sector-specific expertise from civil society.
National statistics offices are emerging as a key actor in country level tracking of delivery on the Sustainable Development Goals. With 167 sustainable development indicators, governments and statistics offices in many countries face the daunting task to strengthening data collection and building verification capacity. Organizations like Open Data Watch and Data for SDGs play an important role in supporting national statistics offices and advocating for increased funding for these institutions.
Assessing the progress on open data publication, use and economic impact
In recent years, warningsigns have emerged on the lack of progress on publication of open data by governments, as well as the lack of use such data. A large share of government data continue to sit on servers and aren’t shared in an open format. Open data remain difficult to locate across government websites and timeliness is lacking in many countries.
When government data licenses are unclearly worded, they may be perceived as restrictive by civil society, deterring public use. Despite these challenges, we see opportunities ahead for open data in the extractives sector.
First, the Extractive Industries Transparency Initiative has continued to engage on the issue since the introduction of the open data policy in 2016 and recently affirmed that the “trend toward open data and systematic disclosures are mutually reinforcing.” EITI’s commitment to systematic disclosure brings renewed attention to data publication practices by key ministries, company registers and national statistics offices in member states. Thirdly, several countries have actively been leading the way on open data publication and data use for natural resource governance, including Ghana, the Philippines and Tunisia.
IODC showed that members across the community are thinking creatively about how to build coalitions to support continued reforms while building the evidence as to how open data can strengthen everything from accountability reporting to service delivery to combatting fake news through data-driven journalism.