Making Data Management Plans Machine Actionable: Templates and Tools

Data Management Plans and Data Centers

Data management plans, data sharing plans and the like are now required by funders worldwide as part of research proposals. Concerned with promoting the notion of open scientific data, funders view such plans as the framework for satisfying the generally accepted requirements for data generated in funded research projects, among them that it be accessible, usable, standardized to the degree pos...

Tools for Extracting Actionable Medical Knowledge from Genomic Big Data

multi-criterion decision-making tools for wastewater planning management

wastewater planning management is a complex problem involving agricultural, rural and industrial interests. in countries facing rapid population growth, identifying methods that can allow them to take good decisions among several competitive alternatives is of utmost importance. the purpose of this paper is to present a methodology for a wastewater planning management system using a multi-c...

Automatically Acquiring Planning Templates from Example Plans

General-purpose planning can solve problems in a variety of domains but can be quite inefficient. Domain-specific planners are more efficient but are difficult to create. In this paper, we introduce template-based planning, a novel paradigm for automatically generating domain-specific programs, or templates. We present the DISTILL algorithm for learning templates automatically from example plan...

Machine Learning with Templates

New methods are presented for the machine recognition and learning of categories, patterns, and knowledge. A probabilistic machine learning algorithm is described that scales favorably to extremely large datasets, avoids local minima problems, and provides fast learning and recognition speeds. Templates may be created using an evolutionary algorithm described here, constructed with other machin...