Terms of reference for a MOES EMIS Advisor to support and build the capacity of the Ministry’s EMIS system.
Position type: Advisor to MOES EMIS system.
Duration: One year. Start date TBD.
Supporting project: GPE System Capacity Grant (SCG)
Background
In order, to improve access to quality and timely information for planning and decision making, MoES continues to strengthen the Education Management Information System (EMIS) to expand its functionalities, coverage and data quality through annual school census and production of annual statistical yearbook. EMIS functionality and use was mainly described as moderate by the members of the Education Sector Committee (ESC). While the ESA Report 2021 and the 2022–2026 ESSP drew on quantitative data, predominantly from EMIS and NLAs, concerns remain on lack of a policy framework for EMIS, its integration with other education databases such as HRMIS, examination systems and the database for teacher education and management and does not incorporate knowledge generated from surveys and other studies by partners and institutions of higher learning. There is also need to improve data security, completeness beyond access indicators, increase the use of other complementary sources of data and promote the widespread use of data to promote evidence-informed decisions, planning and policy making.
EMIS data presents a limited information on all subsectors of education, particularly in early childhood education. This compromises MoES capacity to implement targeted interventions to expand facilities and opportunities for all learners of different levels of learning in Somaliland. Inadequacy of disability disaggregated data on learners, out of school children and teacher characteristics, have altogether, constrained the design of tailored and specialized education services in all regions. Limited gender analysis and weak capacity to track gender mainstreaming commitments from micro to macro levels, is a critical barrier to inclusive, evidence-based and gender responsive planning and actions to improve girl’s participation in education. Data dissemination and decentralization remains a challenge as MoES staff in regional and district offices remain unaware of policies, strategies and relevant guidelines or manuals.
In collaboration with MoES, GPE project plans to develop an EMIS framework for data generation and use as well as integration with multiple data sources relevant to education sector development. The project will embed an EMIS advisor to improve the EMIS system and train EMIS unit staff. The central level EMIS Unit and EMIS focal points in the regions require support to enhance their capacity to collect, refine and upload data on the EMIS server to increase the data quality used for planning by MoES and other stakeholders like ministry of planning, donors and education partners. The project will work closely with the ECW MYRP project to integrate EIE data within EMIS system.
The key challenge facing EMIS include limited human capacity and equipment, low quality, reliability and timeliness of the data; inconsistencies between different sources of data and gaps in data use for planning and decision making. The ESC concurs and has prioritized further strengthening of the EMIS policy framework, expanding country research and knowledge management capacity with emphasis on MVCs and the dynamics of inclusion. Through support from GPE and other partners, MOES will expand the range of gender, disability and special needs data and its institutional capacity to generate, analyse and use data for decision making.
The purpose of the MOES EMIS advisory role is to support relevant MOES, SCI and other GPE implementing partners staff to conduct high quality and relevant EMIS. The role of the advisor is to provide the MOES with technical and coordination support to assist with implementing high quality user friendly EMIS system.
Roles and responsibilities:
Deliverables
Requirements and qualifications
Management: The EMIS advisor will be line managed by the MOES Deputy Minister. SCI GPE Director will provide technical supervision and monitoring of the expected deliverables. MoES will provide access to office as required.
Interested and qualified applicants can view the profile and apply for this position through the below URLs:-
The deadline for applying is on the 17th May 2024,11:59pm.