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Sylvia Szabo, Sinead Mowlds, Joan Manuel Claros, et al.

                             of technologies. Continuous innovations in both data collection and data use are critical to ensure
                             efficiency gains. Innovative data use techniques include the use of mobile applications for progress
                             monitoring. An example of such an initiative developed by the Myanmar Nutrition Technical Net-
                             work which uses mobile applications to monitor the status of implementing of the code for market-
                             ing breast milk substitutes in the country. Another example is the development of a micro-tasking
                             platform run by volunteer scientists to monitor the state of tropical forests. This project combines
                             innovative approaches for data collection, dissemination, and data use by combining science, volun-
                             teering, and advocacy. It proposes a new approach for conservation by allowing larger public to gain
                             access to data on deforestation of tropical forests, including high resolution satellite images of fo-
                             rested regions and the levels of deforestation (Civicus, 2016).
                                Fourth, institution framework constitutes an underlying principle for accountability, including in
                             relation to data use. Two terms define the concept of institutional accountability in the health and
                             social sectors, i.e., answerability  and enforceability  (George, 2003). They are equally relevant
                             when considering FNS data. Answerability refers to information that should be provided to various
                             stakeholders to keep them abreast of issues, while enforcement involves the mechanisms that are
                             needed when there is lack of or ineffective action. This concept adopts a human rights based ap-
                             proach that directly links providers and users (through dialogue and negotiation) and can be effective
                             if improved transparency is promoted as a crucial mechanism to improve services (McNeil and
                             Mumvuma, 2006; Joshi, 2013).
                                For  example, in  2014, Nigeria  created an  independent  body to  help track  progress towards
                             achieving the goals of the maternal, newborn, and child health (MNCH) roadmap. The modality the
                             Nigeria Independent Accountability Mechanism (NIAM) adopted was to use a scorecard and directly
                             interface with the government led steering Committee on MNCH. NIAM comprised of representa-
                             tives from the media, civil society, and health professionals have begun to appraise government’s
                             efforts to achieve its commitments and goals (Garba and Bandali, 2014). While NIAM is facing a
                             daunting task, one key recommendation being made is for the current administration of Muhammad
                             Buhari; to set up a Presidential Taskforce on Data for Accountability and Development as part of
                             his change mantra. Until and unless information and data can be generated before and after the va-
                             riables, the attempts to evaluate change would be whimsical and transient. Based on the work under-
                             taken in the area of MNCH, policy makers should draw from NIAM to advance accountability in
                             nutrition, food security, and agriculture. Linking the data and accountability mechanisms across nu-
                             trition, health, and  agriculture  would allow  data users to conduct  more  integrated  analyses; thus,
                             leading to further advancing evidence for both nutrition and MNCH.
                                Finally, as data users’ experience has shown, better data on financial resources for improved nutri-
                             tion and more details on how these resources reach people on the ground would advance both ac-
                             countability and evidence-based decision-making. Data production and reporting practices affect the
                             availability and quality of data; therefore, affecting the ability to conduct meaningful analysis. While
                             progress occurred in recent years, data gaps still exist. Substantial improvements can result from
                             increased granularity. Reporting by activity rather than by project and geo-coded information would
                             allow a more accurate tracking at national and sub-national level. More granular information on be-
                             neficiaries would increase knowledge  on who can  be reached  by which  interventions, support-
                             ing better targeting to the people most in need. Disaggregation should be done by gender, age, in-
                             come, disability, geography (including sub-national) and displacement status. Financial information
                             reporting should favour disbursements as they represent how much each donor has actually spent in
                             a given year. While commitments are useful information, they represent just how much a country
                             agreed to spend in a given year, often over a given period of time. A timelier reporting system would
                             allow a more rapid assessment of resources allocation and improve the effectiveness of accountabil-
                             ity mechanisms.

                                      International Journal of Population Studies | 2016, Volume 2, Issue 1     73
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