One of the most important elements for the efficient management of energy and the environment is to have the necessary information, in quantity and in quality, so that the different stakeholders (individuals and institutions) can take the best decisions when carrying out their work. It is proposed to develop an Information System for Energy and Environmental Research Management (SIGIEM), investigating different computer technologies and methodologies. Thus, we will combine software development techniques, databases and data stores, user interfaces, techniques of visual representation of large amounts of data, knowledge representation systems, operating systems and data mining, sensor networks, communications networks, web information systems, systems to aid decision taking, geo-positioning techniques, etc.

At international level there are some projects such as: EDEN-IW (Environmental Data Exchange for Inland Water) a IST project of the European Union that aims to: “to develop at European level a service integrating disparate heterogeneous government databases on inland water” (EDEN, 2010).
There are several research projects in the area of Information Systems Energy and Environmental as NZDIS, which deals heterogeneous data sources using agent systems (Cranefield and Purvis, 2001); FSEP for weather forecasting (Dance et al., 2003), DIAMOND, monitoring and diagnostics for power plants burning coal (Albert et al., 2002), DOTAGWA to develop multi-scale hydrologic models (Cate et al., 2007), systems for controlling greenhouse gas (GHG) as proposed by Kim and Kim (2009), etc.
Recently, in March 2010, was held in Wuhan (China) the International Conference on Challenges in Environmental Science and Computer Engineering (CESCE 2010) (IEEE Computer Press, ISBN: 978-0-7695-3972-0), where we can find the most recent advances in scientific research in environmental science.
At national level the most significant project from academic perspective is SOLERES (TIN2007-61497), a space-time system information for environmental management based on neural networks, agents and software components, whose IP is Luis Iribarne of University of Almería (Iribarne et al., 2008 and 2010, Padilla et al., 2008). At the enterprise level initiatives are also applied as the project just beginning Indra, Agbar and Copisa to implement a network of environmental indicators will know, in real time, the environmental evolution of the Ebro Delta and the state of conservation and dynamics of aquatic ecosystems (Entorno, 2010).
Overall, the existing proposals focus in simulation environments based on different types of models such as in the environmental energy, or are dedicated to controlling and monitoring a particular element (e.g. the evolution of the concentration of a particular gas or contaminant). There are no proposals that integrate information from many sources and is oriented decision making by policy makers and energy and environmental programs. We can say that the SIGIEM would feed the data from the various projects and initiatives, integrating and combining with data mining tools and support decision-making.
• To integrate information from different heterogeneous public and private data sources, and concerning environmental issues and energy issues.
• To incorporate information obtained by sensor networks.
• To develop a set of conceptual models and standardised formats that allow reuse and exchange with other systems and sharing between the various projects and experiences
• To develop advanced data mining and process mining techniques for dealing with the information available.
• To define a set of visualisation metaphors (with advanced methods and models for large amounts of data) of energy and environmental data.
• To create an infrastructure to position, study and analyse information from a geographical dimension.