Tudományos adatok és a fenntartható fejlődés

Az október végi  stellenboschi  ICSU CODATA-22 találkozó háttere a címsorra kattintva érhető el. A szakmai programot HUNAGI ma kapta meg a WGISS csatornán és itt érhető el: http://www.fomi.hu/hunagi/pdf/2004/Codata22.pdf Az adatkezelési és alkamazástechnikai megoldások szekciójában helye lenne a 360World cég gigabájtos képalkotási gyakorlatának bemutatásának is. HUNAGI már felvette a kapcsolatot az innovatív  magyar fejlesztőkkel. Az EU LAPSI projekttel kapcsolatos vonatkozás, hogy letölthető a GEOSS adatmegosztási politika megvalósításáról készült 91 oldalnyi tanulmány, melynek szerzői munkaközösségében két LAPSI szakértő is közreműködött: http://www.jstage.jst.go.jp/article/dsj/8/0/GEO1/_pdf
A CODATA22 témakörei:

Scientific Data for Sustainable Development

• Information society and innovations

• Data sources, criteria and models for sustainable development

• New directions in international scientific data coordination: the role of ICSU and its interdisciplinary bodies

• Building a community of data scientists: promise and pitfalls

• Preservation of and access to scientific & technical data in developing countries

• International social science data archives: models, policies, and principles

• External threats to freedom of access

• Crossing the digital divide: recent progress in improving data management in the developing world

• Role and operation of data centers and data services in the future

• Panel on issues and concerns of data-oriented young scientists and curricula in data management and informatics

e-Science and e-Science Networks

• International multi-disciplinary large data projects for science and education and for business applications; Global scientific data sharing and application

• Regional and global e-science and cyberinfrastructure developments

• Grid infrastructure and standards for resource sharing across networks and institutions

• Advanced cluster computing algorithms for data processing in computational fluid dynamics, structural crash analysis, MEMS design, financial modeling, factory scheduling, etc.

• Advanced distributed data processing methods for science and engineering applications

Infoscience and Computational informatics

• Theory, models and methods relating to distributed data processing and archiving

• New approaches to data transfer, storage and processing

• Long-term data stewardship and digital preservation: institutional approaches and technical concerns

• Data ICT and applications

• Role of data for promoting public understanding of science

• Preserving and digitizing legacy data

Data Mining/Knowledge Management

• Enhancing the transformation of data to knowledge

• Artificial Intelligence applications in science-based decision-making

• Developing community databases: lessons from biodiversity, geochemistry, neurology, health and other disciplines

• Data security in information and communication systems

Interoperability and Data Integration

• Interoperability of heterogeneous data systems on materials, environments, human sciences and other fields

• Development of open access, data commons, information commons and open culture: building links between regional, disciplinary and interdisciplinary initiatives

• Addressing linguistic barriers to scientific data integration and application

• Data assimilation approaches and the role of interoperability standards in modeling and simulation applications

• Human science integration and its synthetic research methodology

• New frontiers in human science data integration

Earth and Environmental Data

• Sensor webs and networks for real-time monitoring and analysis

• The emerging global earth observing system of systems: technical and policy issues

• Implementing geospatial data infrastructures: progress at local, national and global levels as well as in geoscience data management

• Polar Year data policy and management

• Strategy for IPY data management based on the scientific questions formulated in the IPY 2007-2008 Science Plan

• Special needs of the social sciences, the Education, Outreach and Communications Plan, and the general public

• Organizational data flow structure (including procedures for accessing, transmitting and archiving data )

• Progress and problems in geoscience data management for the I*Ys

• Role of data in climate change mitigation and adaptation

Biological Science, Medical and Health Data

• Bioinformatics; Proteome Database; Genetic Data Issues

• Biodiversity; Observation and Specimen Records (access to Biological Collection Data)

• Risks Data for safety (disasters, illnesses, etc.)

• Measuring people and their health: scientific and ethical issues

• Organizing disaster and health risk in support of disaster management

Physical Science Data

• The Fundamental Constants: cross-disciplinary coordination and standards issues

• Materials science data and their multidisciplinary applications

• Gas Hydrates

• Informatics in energy resource management

• Managing Astronomical Data : Lessons learned in their development