GRAINEX Data Policy

1. All investigators participating in GRAINEX agree to promptly submit their final Quality Controlled data to the GRAINEX Data Archive Center (GDAC) at the latest by 30 January 2019 (six months after the end of the GRAINEX Field Project Deployment) to facilitate inter-comparison of results, quality control checks and inter-calibrations, as well as an integrated interpretation of the combined dataset.
2. During the Data Analysis Period, defined as up to a 6 months period following the end of the GRAINEX Field Project Deployment, GRAINEX Principal Investigators (PIs) may have exclusive access to this data. This analysis period is designed to provide an opportunity to quality control the combined data set as well as to provide the investigators ample time to publish their results. Data will be password protected upon the request of the data provider.
3. All data will be considered Public Domain no later than 6 months following the end of the GRAINEX Field Project Deployment (i.e., on 31 January 2019 and thereafter). A dataset within the GRAINEX archive can be opened to the public domain earlier at the discretion of the data provider for this particular dataset.    
4. All data shall be promptly provided to other GRAINEX investigators upon request. All GRAINEX investigators will have equal access to all data. A list of GRAINEX investigators will be maintained by NCAR/EOL and will include the Principal Investigators (PIs) directly participating in the field experiment as well as collaborating scientists who have provided guidance in the planning and analysis of GRAINEX data.
5. During the data analysis period, the investigator(s) who collected the data must be notified first of the intent to use the data, in particular if data is to be provided to a third party (e.g., journal articles, presentations, research proposals, other investigators). It is strongly encouraged that PIs responsible for acquisition of data be invited to become collaborators and co-authors on any projects, publications and presentations. If the contribution of the data product is significant to the publication, the PIs responsible for generating a measurement or a data product should be offered the right of co-authorship. Any use of the data should include an acknowledgment (i.e., citation). In all circumstances, the PIs responsible for acquisition of data should be acknowledged appropriately. Following availability in the public domain, users of the data are strongly encouraged to contact the relevant PIs prior to incorporating it into peer-reviewed publications.
6. International agencies, professional societies, and research organizations are moving towards requiring researchers to formally cite data and sources that led to a given research result. Consequently, there has been an increased use of DOIs or Digital Object Identifiers (used to cite publications for many years), as a simple standard way to also reference or cite datasets.  DOIs allow for linkages between datasets and respective publications, thus providing the ability to track the use of these datasets in the literature (metrics).  DOIs are considered “perpetual” and citation format standards have been established for data DOIs. Once final datasets are submitted to the GDAC, EOL will create and distribute respective DOIs that should be used in GRAINEX related publications. DOIs will not be created for preliminary data.