1. Harrison Ong’anda StatBase Presentation Regional Data Policy workshop Rome, Italy 21-22 of September 2015

2. StatBase Presentation Outlines Quick introduction to the initiative, database, system or tool Policies objectives Main Indicators Type of Information / data / statistics Approaches/methods/systems/tools Highlights of data policies and strategies Issues / challenges / lessons learned Regional Data Policy Workshop – Rome, Italy – 28 th -29 th of May 2015

3. Quick introduction to the initiative, tool or system StatBase for SWIO region is a statistical database centralizing statistical tables provided by SWIOFC countries focal points StatBase as a tool is to provide statistical information for resource managers, scientists, sector professional and general public StatBase is maintained by the Kenyan Marine Fisheries Research Institute (KMFRI) in Mombasa, Kenya Coverage: Kenya, Tanzania, Mozambique, South Africa, Seychelles, Mauritius, Comores, France (La Reunion), Madagascar Main actions carried out: data processing / data dissemination / data analysis Is a project / A program? – was a subproject of the SWIOFP Presently no funding Regional Data Policy Workshop – Rome, Italy – 28 th -29 th of May 2015

4. Sector Policy objectives Does (if yes how) your initiative / system / tool deal with fishery sector policies ? Fisheries management Science and research Regional Data Policy Workshop – Rome, Italy – 28 th -29 th of May 2015

5. Main indicators targeted by the initiative Describe here the main indicators the initiative is mainly targeted. exploitation indicators (catch/effort/CPUE) socio economic indicators (vessel register, frame survey data) Regional Data Policy Workshop – Rome, Italy – 28 th -29 th of May 2015

6. Type of information / data / statistics handled Each of the countries submitted information on the following parameters: Regional Data Policy Workshop – Rome, Italy – 28 th -29 th of May 2015

7. COUNTRYDATASETSTATISTIC ComorosArtisanal fisheriesEffort Catch France (Reunion)Register Capture KenyaSemi-industrialEffort IndustrialRegister Sport fishingCatch effort Artisanal fisheryLandings by species Number of gears MadagascarPeche crevetierreCatch Effort

8. COUNTRYDATASETSTATISTIC Sport fisheriesCatch Industrial fisheryFleet Effort Catch Semi industrialFleet Effort Catch MauritiusBank fishery (Industrial)Catch Effort Coastal fisheryCatch Effort Semi industrial bank - chilled fish (or frozen) Industrial

9. COUNTRYDATASETSTATISTIC SeychellesArtisanal fisheryCatch Fleet Effort Lobster fisheryCatch, Fleet, Effort Semi-industrial long line fishery Catch, Fleet, Effort industrial long line fisheryCatch, Fleet, Effort Sea cucumberCatch, Fleet, Effort South AfricaKwa Zulu Natal Industrial fishery Catch Effort Vessel register

10. COUNTRYDATASETSTATISTIC TanzaniaIndustrial + semi fisheryCatch Register Artisanal fisheryCatch Sport fishery MozambiqueSemi-industrialCatch, effort, register IndustrialCatch, effort, register ArtisanalCatch, census Sport fishingCatch

11. Approaches/methods/systems/tools Description of the approach(es) / methods – Statbase is Web based – It is hosted in the iMarine server – iMarine is Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources (http://www.i-marine.eu/)http://www.i-marine.eu/ – StatBase is developed on server and servlets engines (Tomcat, Java, PostgreSQL) – libraries/framework used (Struts 2, JqPlot, Jquery – tools for management, development and deployment of the java application, such as eclipse, SVN and Maven – A private/public key of iMarine account for server’s maintenance, installation on a local machine Regional Data Policy Workshop – Rome, Italy – 28 th -29 th of May 2015

12. Approaches/methods/systems/tools Considerations on Data Harmonization and Standards SWIOFP Nomenclature was adopted from FAO codes and used for standardizing the data accuracy A macro enabled excel spreadsheet was developed for:  FAO vessel codes  Vessel Horsepower  Vessel length  Vessel tonnage  Gear codes  Presevation  Country codes  Species categories  FAO Statistical zones Regional Data Policy Workshop – Rome, Italy – 28 th -29 th of May 2015

13. Highlights of data policy and strategies What are the data sharing and access policies of your initiative? Data access status, e.g. – Full Open data Data sharing, e.g. – All data are available to everybody (free access) Data accessibility (Policy implementation), e.g. – Data accessible on-line in (xls) Regional Data Policy Workshop – Rome, Italy – 28 th -29 th of May 2015

14. Issues faced – challenges – lessons learned Describe here issues or challenges faced regarding information and data in the course of the project (related to data quality, availability, metadata, policies etc…). Timeliness of data – each country have there own data release frequencies and so uniformity in data currency is hard to achieve What is industrial fishery in one country is semi-industrial fishery in another country (terminology) Lessons learned during the initiative implementation Working group sessions were most helpful for data input as every-one comes prepared for a 1 week exercise Take away assignments were the worst performed Thus it is important to identify funding for regional data processing and input workshops Regional Data Policy Workshop – Rome, Italy – 28 th -29 th of May 2015

15. Summary Position your system in the matrix below and activities carried out Regional Data Policy Workshop – Rome, Italy – 28 th -29 th of May 2015 SCOPE Sector policies Fisheries management Stock assessment Ecosystem assessment MCS Certifica tion and traceabi lity Science and research Census/survey design Data collection Data harmonization and sharing x x Data processing x x Data dissemination x x