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This paper introduces the online data platform developed to showcase the characteristics of Pakistan fisheries, primarily drift/gillnet fisheries by providing a spatial inventory on catch and bycatch data collected from the crew-based observer program. The online data platform is an interactive tool, which allows fisheries managers to articulate queries and infer results based on the choice of parameters, and characteristics of a or type of fisheries. The online data platform comprises of data collected from five crew observers from four vessels which had the longest period/duration of data collection (five years). By the end of the five-year period, a total of 3,800 sets have been recorded, which means that a total of 3,800 entries have been made into the online data platform, as each set is comprised of a soak time of 12 hours. Four vessels, having an average length of xx m, and length of net xx Km participated in the program. A preliminary analysis from the platform showcases that 70 per cent of the catch was composed of tunas (neritic and tropical), whereas the remaining 30 per cent comprised of other teleosts, sharks, and mobulids/rays, sea turtles and marine mammals. The online platform allows to disaggregate data by set, month, and year and even different gear setting, such as surface and sub-surface. This allows to compare catch data in different seasons, area, gear setting and with overlay of important information such as physical and chemical parameters would allow to identify hot spots and areas of higher aggregation. The online data platform is still in its development phase, and work in progress, with tiers of information being added to make it a fishery manager interactive tool.
