1. Closing remarks s

2. Start Conduct of the research Publications Data management plan Storage and (collaborative) processing of the research data Archiving and publishing of research dataset(s) Requirements by funders Research proposal phase Datamanagemen t plan template Preregistration and replication DataVerse Geo Datalab Advantages of datasharing Sharing research software 3. Quality of Research Data, an Operational Approach D-Lib Magazine January/February 2011 Volume 17, Number 1/2 Physical Sciences and Engineering Social Sciences and Humanities Life Sciences Setting up of data publications: peer-reviewed descriptions of datasets +++ +++ ++ Citing of datasets +++ +++ ++ Comments on quality by re-users, to be published with the dataset +++ ++ +++ Open Access provision of datasets, perhaps after an embargo period ++++ ++ Code of conduct for researchers for data management and provision of datasets ++ +++ Peer review of the dataset as part of peer review of the publication + + ++ Provision of training in data management + ++ Periodic data audits + Mandatory section on data management in research proposals submitted to bodies financing research 4. What is the most important feature of a data archive for a researcher? That the archive is trusted. (meaning that there is a solid governance and financial model) That the data is publicly available and easily findable in Google. That the data is citable. That is has a user friendly interface That the metadata is available in rdf That you can query inside archived datasets with an API