Deloitte’s ‘Open Data Driving Growth Ingenuity and Innovation’ looked at the open data landscape as of 2012 to identify trends for the future development of this area and recommendations for the commercial sector (Deloitte, 2012). They estimate that in the near future business will engage in open data in four aspects: (1) strategically exploit the rapidly growing of their open data assets; (2) opening up their data assets as a revolution way of competing; (3) using open data to improve transparency and engage customers; and (4) work with government and make policies for data responsibility and privacy (Deloitte, 2012).

A report produced by McKinsey around the same time sought to “quantify the potential value of open data by examining applications in seven sectors of the global economy”: education, transportation, consumer products, electricity, oil and gas, healthcare, and consumer finance (Manyika, 2013). The report encompasses not only an analysis of the economic value of open data in each of these sectors, but also a discussion of potential barriers to adoption and actions to be taken to ensure that this potential is not lost. For example, the privacy issues are major concerns in nearly all the investigated domains and appropriate legal and regulatory frameworks are urgently needed to ensure that open data is distributed in an anonymous and secure manner. In the ‘Researching the emerging impacts of open data’ paper (Perini, 2013), it is highlighted that there is a need for methodological  and  tool  support  to  allow  the  “various  stakeholders  to  engage  in  an  informed dialogue and to guide the future development of open data”.

The ‘Open Government Data Stakeholder Survey 2010’ (Martin, Kaltenbock, Nagy, & Auer, 2011) led by  the  LOD2  project ( focused  on  open  government  data.  They  report  on  the  requirements  of different stakeholder groups (citizens, public administration agencies, policy makers, industry, media, and science) regarding open data sets and catalogs. From the survey, national and regional data sets are most required by the stakeholders and they demand more data to be published in non- proprietary formats such as CSV and XML.

A position paper by NEF ( proposes a research agenda for big and open data. The two are seen as complementary, with open data technologies allowing organisations to easily repurpose their data assets and enrich them with other openly accessible content. Though the focus of the roadmap is on technical  aspects, the  paper  also discusses  privacy challenges that  need to be  addressed when implementing cloud-based data provisioning solutions.


References can be found here: OpenDataMonitor Project – Shared References