{"id":37,"date":"2011-05-29T09:55:08","date_gmt":"2011-05-29T09:55:08","guid":{"rendered":"http:\/\/notebooks.dataone.org\/workflows\/?page_id=37"},"modified":"2013-05-15T15:28:05","modified_gmt":"2013-05-15T15:28:05","slug":"participate","status":"publish","type":"post","link":"https:\/\/notebooks.dataone.org\/data-analysis\/participate\/","title":{"rendered":"Participate"},"content":{"rendered":"
Much of the research for this project is coming from publicly available data. There are five types of data that are being gathered:<\/p>\n
Research:<\/strong> What is out there already, in terms of journal articles, books, or similar digestions and analyses of workflows? What are the most cited journal articles? Who are the experts in the field? Are they all developers themselves?<\/li>\n<\/ul>\n So, how can you help? If you know of any workflow languages, of any research, of any power-users – drop us a line at richard [dot] littauer [at] gmail<\/a>. And, even more importantly, if you know of any depositories, or if you yourself have workflows, please get in touch!<\/i><\/strong> We can use all of the help we can compiling a database of workflows to look at. The more we analyse, the more we’ll understand, the more we can help. <\/p>\n","protected":false},"excerpt":{"rendered":" Much of the research for this project is coming from publicly available data. There are five types of data that are being gathered: Workflow programs: Taverna and Kepler are the most used, but there are other workflow programs out there that have a tradition in the sciences. We hope that Continue reading Participate<\/span>