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# Rule 9. Reward colleagues who share their data properly  -- Whether you do it  in person, at scientific meetings and conferences, or by written communication,  when you review reviewing  papers or and  grants, etc. Spread reward your colleagues who share data and code. Rally your colleagues, engage your community by providing feedback on the quality of the data assets in your field, and praise those following the best practices. The more the data created by your colleagues is accessible as an organized collection of some sort, the better your community’s research capacity. The more data get shared, used and cited,  the word! Attribute more they improve. Besides personal involvement and encouragement, the best way to reward data sharing is by attribution: always cite  the sources of data that you use.[Ashish says: Including date of access may be important.]  Follow good scientific practice and give credit to those whose data you use, following their preferred reference format. Use best practices for making references to data. Cite other people’s data responsibly, give feedback format and according  to people whose data you use. Data that get used improve. current best practices.  Standards and practices for citing and attributing data sources are being developed through international partnerships. (CB to add some lit from CODATA/ICSTI task group, Manifesto, etc)* Amsterdam Manifesto on Data Citation Principles. (2013). Force11; Beyond the PDF 2 Conference. Retrieved May 2, 2013, from http://www.force11.org/AmsterdamManifesto   * Uhlir, P. F. (Ed.). (2012). For Attribution -- Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop. Washington, D.C.: The National Academies Press. Retrieved from http://www.nap.edu/catalog.php?record_id=13564