6f342e67-09df-4037-be39-367d4842e5ab English MD_CharacterSetCode_utf8 Dataset (e.g. an inventory, database or compilation of data) dataset British Geological Survey Contact for the metadata enquiries@bgs.ac.uk pointOfContact 2024-11-11 ISO19115 2003/Cor.1:2006 Life Cycle Impact Assessment UNEP SETAC Life Cycle Initiative recommended factors 2016-01-01 creation 2016-01-01 publication revision MICA WP3 2018-11-03T15:16:00 Record extracted from Batch 3 spreadsheet MICA_B3-118 https://www.mica-project.eu/ No other citation details provided A Life Cyscle Assessment (LCA) facilitates the systematic quantitative assessment of products, both goods and services, in terms of environmental, human health, and resource consumption considerations. The full life cycle of a product is taken into account– this includes the supply of raw materials, processing, transport, retail, use, as well as end-of-life waste management. Life Cycle Impact assessment (LCIA) is the phase in which the set of results of the Inventory Analysis, mainly the inventory table with emissions and extractions, is further processed and interpreted in terms of environmental impacts and societal preferences. To this end, a list of impact categories (environmental problems) is defined, and models for relating environmental interventions to suitable category indicators for these impact categories are selected. The actual modeling results are calculated in the characterization step, and an optional normalization serves to indicate the share of the modeled results in a worldwide or regional total. The Life Cycle Initiative’s flagship has published guidelines for Life Cycle Impact Assessment, “Global Guidance for Life Cycle Impact Assessment Indicators Volume 1”. The publication identifies the “current best practice”, and recommended characterization factors in a variety of impact areas: •climate change; •health impacts of fine particulate matter; •water use impacts; and •land use impacts on biodiversity. What makes this guidance so unique is the global consensus-building process, and its endorsement by an international partnership. Such robust and international backing should make these indicators especially attractive to be used in policy and reporting frameworks requiring recognition and stability. Website: http://www.lifecycleinitiative.org/applying-lca/lcia-cf/ Promoting global consensus on Life Cycle Impact Assessment Indicators UNEP SETAC Life Cycle Initiative Contact for the resource described by the metadata Paris F-75015 France http://www.lifecycleinitiative.org/applying-lca/lcia-cf/ WWW:LINK-1.0-http--link http://www.lifecycleinitiative.org/applying-lca/lcia-cf/ Link for further information on the resource Party that supplies the resource https://resources.bgs.ac.uk/images/minerals/micaGraphic/B3/MICA_B3-118.JPG MICA MET4TECH dataCentre undefined MICA ontology (TemporalScheme) 2 Other types of data or information / models MICA ontology (DataScheme) 2 Requirement for data generation: Other (please specify) or unknown Method of data or information generation: Model developed using other data or information classes Environmental impact assessment GEMET Concepts 2014-07-25 revision 2 Environmental pollution GEMET Concepts 2014-07-25 revision 2 Health GEMET Concepts 2014-07-25 revision 2 Landscapes GEMET Concepts 2014-07-25 revision 2 Impact categories MICA ontology (DomainScheme) 2 Measuring input and output of industrial processes MICA ontology (MethodsScheme) 2017 revision 4 Life cycle assessment MICA ontology (MethodsScheme) 2017 revision 4 Environmental footprinting MICA ontology (MethodsScheme) 2017 revision 4 Cost Benefit Analysis MICA ontology (MethodsScheme) 2017 revision 4 Life cycle costing MICA ontology (MethodsScheme) 2017 revision 4 Available for free for all purposes Not confidential English geoscientificInformation economy in general characterization factors are defined on a global level World (global aggregation only) -180.0000 180.0000 -90.0000 90.0000 need to harmonize Life Cyccle Impact Assessment Dataset (e.g. an inventory, database or compilation of data) Data uncertainty Are any uncertainty measures provided (e.g. standard errors, confidence intervals, etc.)? false Quality assurance procedures Are quality assurance procedures described? true Information generation methods Are data or information generation methods formally described? true Record review Reviewed by: British Geological Survey Record validation false Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Organisation source implies that information should be of good quality Metadata is distributed with a CC BY-ND 4.0 (Attribution-NoDerivs 4.0 International) licence