Data Management: A Companion to Standard Methodologies for Improving International Collaboration

In an ideal world, “data management” would be the first consideration following the decision of “data collection.” Unfortunately, thoughtful consideration of data management often occurs only once the data have been collected. This  may limit the extent to which the data can be applied beyond the specific collection purpose even if standard collection methodologies are applied. Differences in reporting standards, units, spatial or temporal characterization, simple terminology and inadequate metadata are just a few of the aspects that can handicap the ability to apply data in a larger context. Some limitations can be overcome but others permanently hinder the consolidation or comparison of data with others. Likewise, overly stringent data management protocols may stifle the goal of comparable data. Examples of shared information management systems will be presented and options for striking the right balance that fosters long term improvement in data management and comparability, and improved interjurisdictional collaboration on fisheries management, will be discussed.