About MoonDB

   

   Between 1969 and 1972, six of NASA's Apollo missions brought back a total of 2,196 specimens of soils, breccias, rocks and core samples from the surface of the Moon. These lunar samples are an irreplaceable legacy of the Apollo program, and the most extensive set of samples returned from the surface of another planetary body. For 45 years, this prestigious collection has been maintained and curated at the Johnson Space Center (JSC) and made accessible to the global research community. Thousands of studies have been conducted on these samples which generated a vast body of data on their chemical, mineralogical and physical properties. These data have formed the basis of many new discoveries and insights, and they continue to be of fundamental relevance to solving many open scientific questions, such as the cause and timing of the Earth-Moon system, the origin of the lunar mantle and crust, the bombardment history of the solar system.  

    MoonDB is designed to be an online accessible, quality-controlled data system that will restore and synthesize lunar sample data from the literature as well as unpublished legacy data and make them ‘fit for re-use’ in modern cyberinfrastructure. Using existing data management infrastructure at the EarthChem data facility, MoonDB will dramatically advance preservation, access and utility of lunar sample data, so that they can be fully explored to generate new scientific knowledge. All data in MoonDB will be thoroughly documented with available sample and data quality metadata, and will be integrated with current and new sample information and imagery that are curated in data systems at the Johnson Space Center. MoonDB will also have the capability to dynamically grow as new data from lunar studies are added and as modern cyberinfrastructure evolves.

    In collaboration with IEDA (Interdisciplinary Earth Data Alliance), MoonDB will also allow researchers to submit and publish historical and new datasets and register scientific data sets in the DOI® system, making them citable as publications with attribution to their investigators as authors. 

    For more information, please email cai@ldeo.columbia.edu.