%0 Generic %1 adorf2016signac %A Adorf, Carl S. %A Dodd, Paul M. %A Glotzer, Sharon C. %D 2016 %K engineering forschungsdaten framework largeData %T signac - A Simple Data Management Framework %U http://arxiv.org/abs/1611.03543 %X Researchers in the field of computational physics, chemistry, and materials science are regularly posed with the challenge of managing large and heterogeneous data spaces. The amount of data increases in lockstep with computational efficiency multiplied by the amount of available computational resources, which shifts the bottleneck within the scientific process from data acquisition to data post-processing and analysis. We present a framework designed to aid in the integration of various specialized data formats, tools and workflows. The signac framework provides all basic components required to create a well-defined and thus collectively accessible data space, simplifying data access and modification through a homogeneous data interface, largely agnostic of the data source, i.e., computation or experiment. The framework's data model is designed not to require absolute commitment to the presented implementation, simplifying adaption into existing data sets and workflows. This approach not only increases the efficiency with which scientific results can be produced, but also significantly lowers barriers for collaborations requiring shared data access.

@misc{adorf2016signac, abstract = {Researchers in the field of computational physics, chemistry, and materials science are regularly posed with the challenge of managing large and heterogeneous data spaces. The amount of data increases in lockstep with computational efficiency multiplied by the amount of available computational resources, which shifts the bottleneck within the scientific process from data acquisition to data post-processing and analysis. We present a framework designed to aid in the integration of various specialized data formats, tools and workflows. The signac framework provides all basic components required to create a well-defined and thus collectively accessible data space, simplifying data access and modification through a homogeneous data interface, largely agnostic of the data source, i.e., computation or experiment. The framework's data model is designed not to require absolute commitment to the presented implementation, simplifying adaption into existing data sets and workflows. This approach not only increases the efficiency with which scientific results can be produced, but also significantly lowers barriers for collaborations requiring shared data access.}, added-at = {2017-09-05T11:25:43.000+0200}, author = {Adorf, Carl S. and Dodd, Paul M. and Glotzer, Sharon C.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2645c97554bcfc72bac8aacda74218dd3/diglezakis}, description = {[1611.03543] signac - A Simple Data Management Framework}, interhash = {6a797a7ed8f41a24ca0dfcffa047aa53}, intrahash = {645c97554bcfc72bac8aacda74218dd3}, keywords = {engineering forschungsdaten framework largeData}, note = {cite arxiv:1611.03543Comment: 14 pages, 6 figures}, timestamp = {2017-09-05T09:25:43.000+0200}, title = {signac - A Simple Data Management Framework}, url = {http://arxiv.org/abs/1611.03543}, year = 2016 }