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As computational chemistry methods enjoy unprecedented growth, computer power increases and price/performance ratio drops, a large number of crystal structures can today be refined and their properties computed using modern theoretical approaches, such as DFT, post-HF, QM/MM, MCMM methods. Availability of several open source codes for computational and quantum chemistry and open-access crystallographic databases enables large scale computations of material structures and properties. We thus increasingly feel that an open collection of theoretically computed chemical structures would be a valuable resource for the scientific community. To address this need, we have launched a Theoretical Crystallography Open Database (TCOD, http://www.crystallography.net/tcod/). The TCOD sets a goal to collect a comprehensive set of computed crystal structures that would be made available under an Open Data license and invites all scientists to deposit their published results or pre-publication data. Accompanied with a large set of experimental structures in the COD database [1], the TCOD opens immediate possibilities for experimental and theoretical data cross-validation. To ensure high quality of deposited data, TCOD offers ontologies in a form of CIF [2] dictionaries that describe parameters of computed chemical and crystal structures, and an automated pipeline that checks each submitted structure against a set of community-specified criteria for convergence, computation quality and reproducibility. The scope of TCOD and validation tools make TCOD a high-quality, comprehensive theoretical structure database, useful in a broad range of disciplines. First-principle calculations are also of huge interest to simulate physical properties, either prospectively or for materials that do not grow as sufficiently large crystals. The property results can now be tested against the Material Properties Open Database [3] (http://www.materialproperties.org/) to ameliorate the used models.
