Collections

Successful management, exchange and interpretation of an ever-growing tsunami of digital information and knowledge will depend on highly automated methods dealing with combined data. This will require artificial intelligence but also robust and informative ways to store and disseminate data and metadata. FAIR Digital Objects (FDOs) promise to provide the needed framework.

FAIR is about making data findable, accessible, interoperable and reusable both for humans and machines. FAIR digital objects have shown key capabilities to simplify and scale the use of data across domains, increase trust in data and ease the handling of high volumes of information. Now widespread consensus and collaboration is needed.

The 1st International Conference of FAIR Digital Objects brings together for the first time, key technical, scientific, industry, and science-policy stakeholders at this scale with the aim to boost the development and implementation of FDOs worldwide.

This conference collection explores two of the most urgent themes in constructing the FDO framework: research in structuring the knowledge domain and how to facilitate practical work, and practice in the design and building of FDO-consistent infrastructures.

Successful management, exchange and interpretation of an ever-growing tsunami of digital information and knowledge will depend on highly automated methods dealing with combined data. This will require artificial intelligence but also robust and informative ways to store and disseminate data and meta ...

This collection hosts outputs from the FP7-funded EU project Building the European Biodiversity Observation Network (EU BON). The project proposes an innovative approach in terms of integration of biodiversity information systems from on-ground to remote sensing data, for addressing policy and information needs in a timely and customized way.

This collection hosts outputs from the FP7-funded EU project Building the European Biodiversity Observation Network (EU BON). The project proposes an innovative approach in terms of integration of biodiversity information systems from on-ground to remote sensing data, for addressing policy and infor ...

This research project was an Open Data pilot based on case studies with seven IDRC grantees who developed and implemented open data management and sharing plans. The case studies examined the scale of legal, ethical and technical challenges that limited the sharing of data from IDRC projects including issues of:

* Privacy, personally identifiable information and protection of human subject
* Protection of intellectual property generated from projects or potential for financial risks for projects or institutions
* Challenges in the local legal environment, including ownership of data
* Ethical issues in releasing or sharing of indigenous and community knowledge, and the relationship between project participants and investigators particularly in the context of historical expropriation of resources
* Local and global issues of capacity and expertise in the management and sharing of data

The project ran over (15) months, commencing December 2015 and ending in February 2017. The project involved a literature review and series of interviews on funder data sharing policies, the seven case studies including data management plans and implementation, and a final summary report. The results of the project aim to refine guidelines for the implementation of development research funders’ open research data policies and data policies more generally.  

This research project was an Open Data pilot based on case studies with seven IDRC grantees who developed and implemented open data management and sharing plans. The case studies examined the scale of legal, ethical and technical challenges that limited the sharing of data from IDRC projects includi ...