Data sharing
Enablers
Conducting a comprehensive mapping of the EiE data ecosystem to enhance understanding of data flows - Efforts to map various data actors, including funders, producers, managers, and users, contribute to a nuanced understanding of data flows, pinpointing potential bottlenecks in sharing and dissemination.
Leveraging technical working groups and inter-agency mechanisms - Stakeholders emphasize the importance of utilizing existing inter-agency mechanisms, such as the Education Cluster and technical working groups, to enhance collaboration and improve data sharing among diverse data actors.
Drafting and implementing formal data sharing agreements and ethical guidelines - The development and implementation of formal data sharing agreements play a crucial role in fostering a culture of data sharing. Ethical guidelines are essential to maintain confidentiality and uphold data integrity, especially for sensitive information.
Prioritizing Joint Educational Needs Assessments (JENAs) and other joined-up data initiatives - Active participation in collaborative EiE data initiatives, like JENAs or Education Sector Analysis, ensures that different data actors prioritize sharable and complementary datasets, fostering a more cohesive approach.
Earmarking funding to support a general EiE data sharing platform - Allocating joint funds to establish a general EiE data sharing platform incentivizes data sharing among key actors, promoting standardization and harmonization of EiE data.
Encouraging regional collaboration among crisis-affected countries - In addition to within-country collaboration, strengthening regional cooperation plays a pivotal role in enhancing data sharing and utilization efforts among countries affected by crises.
Constraints
Limited incentives for EIE actors to share data - Diverse EiE data actors often have competing agendas, lacking the motivation to share data. Overcoming this challenge requires addressing conflicting interests and promoting shared benefits.
Scarce formal data sharing agreements - The scarcity of formal data sharing agreements leads to ad hoc sharing practices, raising ethical concerns. There is a need for specific skills and competencies in safe and responsible data sharing at all levels of EiE programming.
Lack of interoperability among information systems - Challenges with interoperability between information systems used by different line ministries and among partners clearly hinders seamless data sharing. Overcoming these challenges requires concerted efforts to enhance compatibility.
Absence of a general EiE data sharing framework or platform - The lack of a common data sharing framework or platform in crisis-affected countries restricts data use across the EiE data ecosystem. Establishing a unified platform is crucial for effective collaboration.
Limited ethical guidance on data sharing - A lack of ethical guidance on data sharing poses challenges, even for non-sensitive data. Emphasizing ethical standards is vital to ensure responsible data sharing practices.
Low awareness of existing EiE datasets - Despite references in national abstracts and sector analyses, there is a pervasive lack of awareness among data actors about existing EiE datasets, hindering their relevance for the broader education sector and development stakeholders.