The Total Product Life Cycle (TPLC) database integrates premarket and postmarket data about medical devices. It includes information pulled from CDRH databases including Premarket Approvals (PMA), Premarket Notifications (510[k]), Adverse Events, and Recalls. You can search the TPLC database by device name or procode to receive a full report about a particular product line.

(i) The CPM LCA Database is developed within the Swedish Life Cycle Center, and is a result of the continuous work to establish transparent and quality reviewed LCA data. The Swedish Life Cycle Center (founded in 1996 and formerly called CPM) is a center of excellence for the advance of life cycle thinking in industry and other parts of society through research, implementation, communication and exchange of experience on life cycle management. The mission is to improve the environmental performance of products and services, as a natural part of sustainable development. The Center has been instrumental for the development and adoption the life cycle perspective in Swedish companies and has made important contributions to international standardization in the life cycle field. More information about the Center, see www.lifecyclecenter.se. The Swedish Life Cycle Center owns the CPM LCA Database, which is today maintained by Environmental Systems Analysis at the Department of Energy and Environment at Chalmers University of Technology. (ii) All LCI datasets can be viewed in in three formats: the SPINE format, a format compatible with the ISO/TS 14048 LCA data documentation format criteria, and in the ILCD format. Three impact assessment models: EPS, EDIP, and ECO-Indicator, can be viewed in the IA98 format. Also a simple IA calculator is provided where the environmental impact of each LCI dataset can be calculated based on the three different IA methods. (iii) unknown (iv) unknown

Life Cycle Assessment (LCA) is a compilation and evaluation of the inputs, outputs and potential environmental impacts of a product system throughout its life cycle. LCA describes the life cycle as consecutive and interlinked stages of a product system extending from the acquisition of raw materials through materials processing, technology manufacturing/construction, technology use/maintenance/upgrade, and the technology retirement. LCA also provides a framework for understanding economic and social impacts. In an LCA, data are collected at the unit process level, intended to represent a single industrial activity, in this case the food and agriculture industry. Each single industrial activity (a) produces product and sometimes co-products; (b) uses resources from the environment; (c) uses resources from other unit processes in the technosphere; and (d) generates emissions to the environment. In an LCA, the inventory analysis combines unit process data for the life cycle and the impact assessment estimates the impact associated with activities and flows to and from the environment for the inventory. Datasets have been developed for the LCA Commons in response to a national need for data representing US operations. The LCA Commons database is an open access database developed by the United States Department of Agriculture (USDA) National Agricultural Library (NAL) for use in LCAs to support policy assessment, technology implementation decision-making, and publicly disclosed comparative product or technology assertions. K7612-17: Photo by Scott Bauer; http://www.ars.usda.gov/is/graphics/photos/sep97/k7612-17.htm Resources in this dataset:Resource Title: LCA Commons website. File Name: Web Page, url: https://www.lcacommons.gov/

Life Cycle Analysis (LCA) is a comprehensive form of analysis that utilizes the principles of Life Cycle Assessment, Life Cycle Cost Analysis, and various other methods to evaluate the environmental, economic, and social attributes of energy systems ranging from the extraction of raw materials from the ground to the use of the energy carrier to perform work (commonly referred to as the “life cycle” of a product). Results are used to inform research at NETL and evaluate energy options from a National perspective.

The global Life Cycle Assessment Database market size was valued at USD 270.0 million in 2021 and is projected to grow from USD 320.1 million in 2023 to USD 798.5 million by 2033, exhibiting a CAGR of 12.0% during the forecast period (2023-2033). The market growth can be attributed to the increasing demand for environmental sustainability, growing awareness about climate change, and the adoption of life cycle assessment (LCA) in various industries. Key drivers for the market include the growing demand for transparency and sustainability in supply chains, the implementation of regulations related to carbon emissions and environmental protection, and the technological advancements in data collection and analysis. The market is segmented by application into enterprises, municipalities, and others, and by type into on-premise and cloud-based solutions. Major companies operating in the market include GHG Protocol, Ecochain, Sphera, openLCA Nexus, AssessCCUS, Ecoinvent, openLCA, Swedish Life Cycle Center, Psilca, Fraunhofer IBP, Metsims - Sustainability Consulting, and Carbon Minds.

The global Life Cycle Assessment (LCA) Database market size is projected to reach USD 247.4 million by 2033, exhibiting a CAGR of 12.1% during the forecast period. The increasing demand for sustainable products and services, along with stringent environmental regulations, is driving the growth of the market. Additionally, the growing adoption of LCA in various industries, such as manufacturing, construction, and transportation, is contributing to the market's expansion. The on-premise segment held a dominant market share in 2025, owing to the high cost of cloud-based solutions and the need for data security and control among enterprises. Key trends influencing the market include the rise of Industry 4.0 technologies, which enable real-time data collection and analysis, and the increasing adoption of cloud-based LCA platforms, which offer flexibility and scalability. However, the high cost of LCA software and the lack of trained professionals may pose challenges to the market's growth. Key players in the market include GHG Protocol, Ecochain, Sphera, openLCA Nexus, AssessCCUS, Ecoinvent, openLCA, Swedish Life Cycle Center, Psilca, Fraunhofer IBP, Metsims - Sustainability Consulting, and Carbon Minds. North America and Europe are expected to remain the dominant regional markets, driven by the presence of a large number of environmental regulations and the growing demand for sustainable products and services in these regions.

The demand for life cycle assessments (LCA) is growing rapidly, which leads to an increasing demand of life cycle inventory (LCI) data. While the LCA community has made significant progress in developing LCI databases for diverse applications, challenges still need to be addressed. This perspective summarizes the current data gaps, transparency, and uncertainty aspects of existing LCI databases. Additionally, we survey and discuss novel techniques for LCI data generation, dissemination, and validation. We propose key future directions for LCI development efforts to address these challenges, including leveraging scientific and technical advances such as the Internet of Things (IoT), machine learning, and blockchain/cloud platforms. Adopting these advanced technologies can significantly improve the quality and accessibility of LCI data, thereby facilitating more accurate and reliable LCA studies.

The Integrated Carbon Metrics (ICM) Embodied Carbon Life Cycle Inventory (LCI) Database (ICM Database) provides Australian-specific Carbon Footprint Intensities for around 700 construction and building materials, as well as built environment-related products and processes, based on a hybrid life cycle assessment methodology. The ICM Database is an output of the Integrated Carbon Metrics project (number RP2007) supported by the CRC for Low Carbon Living (CRCLCL).

LCI and LCIA for water and wastewater treatment plants. This dataset is associated with the following publications: Xue, X., S. Cashman, A. Gaglione, J. Mosley, L. Weiss, C. Ma, J. Cashdollar, and J. Garland. Holistic Analysis of Urban Water Systems in the Greater Cincinnati Region: (1) Life Cycle Assessment and Cost Implications. Water Research X. Elsevier B.V., Amsterdam, NETHERLANDS, 2: 100015, (2019). Cashman, S., A. Gaglione, J. Mosley, L. Weiss, T. Hawkins, N. Ashbolt, J. Cashdollar , X. Xue, C. Ma , and S. Arden. Environmental and cost life cycle assessment of disinfection options for municipal drinking water treatment. U.S. Environmental Protection Agency, Washington, DC, USA, 2014. Cashman, S., A. Gaglione, J. Mosley, L. Weiss, N. Ashbolt, T. Hawkins, J. Cashdollar , X. Xue, C. Ma , and S. Arden. Environmental and cost life cycle assessment of disinfection options for municipal wastewater treatment. U.S. Environmental Protection Agency, Washington, DC, USA, 2014.

These inventory datasets are essential for calculating the carbon footprint of an individual’s consumption in Quebec.

Led by the CIRAIG, in collaboration with PolyCarbone and ESG-UQAM, this project aims to develop an inventory database of the life cycle of consumption in Quebec. These inventory datasets are essential for calculating the carbon footprint of an individual’s consumption in Quebec. The inventory is developed with a life cycle approach. Ultimately, it allows for evaluating carbon footprints at every step of the consumption life cycle (extraction of primary sources, transformation, transport, use of goods and services, end of life). The inventory is developed in a modular fashion for the different areas of individual consumption as Food; Transport; Housing; Clothing; Travel; Communications; Entertainment and Culture; Financial and Administrative Management; Health, Hygiene, and Beauty. These areas are developed and detailed as a priority, as they contribute most to an individual’s carbon footprint in Quebec. Other non-priority areas are roughly modelled in order to provide a complete (but more uncertain) portrait of individual consumption. The project is underway and the deliverables will be made available online as things progress. It is not, however, an objective of the project to create a carbon footprint calculation tool at the moment.

https://ciraig.org/index.php/project/life-cycle-inventory-database-for-consumption-in-quebec/

An excel template with data elements and conventions corresponding to the openLCA unit process data model. Includes LCA Commons data and metadata guidelines and definitions Resources in this dataset:Resource Title: READ ME - data dictionary. File Name: lcaCommonsSubmissionGuidelines_FINAL_2014-09-22.pdfResource Title: US Federal LCA Commons Life Cycle Inventory Unit Process Template. File Name: FedLCA_LCI_template_blank EK 7-30-2015.xlsxResource Description: Instructions: This template should be used for life cycle inventory (LCI) unit process development and is associated with an openLCA plugin to import these data into an openLCA database. See www.openLCA.org to download the latest release of openLCA for free, and to access available plugins.

Life cycle analysis (LCA) is an environmental assessment method that quantifies the environmental performance of a product system over its entire lifetime, from cradle to grave. Based on a set of relevant metrics, the method is aptly suited for comparing the environmental performance of competing products systems. This file contains LCA data and results for electric power production including geothermal power. The LCA for electric power has been broken down into two life cycle stages, namely plant and fuel cycles. Relevant metrics include the energy ratio and greenhouse gas (GHG) ratios, where the former is the ratio of system input energy to total lifetime electrical energy out and the latter is the ratio of the sum of all incurred greenhouse gases (in CO2 equivalents) divided by the same energy output. Specific information included herein are material to power (MPR) ratios for a range of power technologies for conventional thermoelectric, renewables (including three geothermal power technologies), and coproduced natural gas/geothermal power. For the geothermal power scenarios, the MPRs include the casing, cement, diesel, and water requirements for drilling wells and topside piping. Also included herein are energy and GHG ratios for plant and fuel cycle stages for the range of considered electricity generating technologies. Some of this information are MPR data extracted directly from the literature or from models (eg. ICARUS - a subset of ASPEN models) and others (energy and GHG ratios) are results calculated using GREET models and MPR data. MPR data for wells included herein were based on the Argonne well materials model and GETEM well count results.

This is a high-resolution dataset of building design characteristics, life cycle inventories, and environmental impact assessment results for 292 building projects in the United States and Canada. The dataset contains harmonized and non-aggregated LCA model results across life cycle stages, building elements, and building materials to enable detailed analysis, comparisons, and data reuse. It includes over 90 building design and LCA features to assess distributions and trends of material use and environmental impacts. Uniquely, the data were crowd-sourced from designers conducting LCAs of real-world building projects.The dataset is composed of two files:buildings_metadata.xlsx includes all project metadata and LCA parameters for every project associated with a unique index number to cross-reference across other files. This also includes various calculated summaries of LCI and LCIA totals and intensities per project.full_lca_results.xlsx includes LCI and LCIA results per material and life cycle stage of each building project.data_glossary.xlsx identifies and defines each feature of the dataset including its name, data structure, syntax, units, descriptions, and more.material_definitions.xlsx a full list of material groups, types, and descriptions of what they include.This dataset is documented and described in a Data Descriptor, published and citable as follows:Benke, B., Chafart, M., Shen, Y. et al. A Harmonized Dataset of High-Resolution Embodied Life Cycle Assessment Results for Buildings in North America. Sci Data 12, 1085 (2025). https://doi.org/10.1038/s41597-025-05216-0When referencing this work, please cite both the Data Descriptor and the most recent dataset version on this Fighshare DOI.The dataset also appears on the Github repository: https://github.com/Life-Cycle-Lab/wblca-benchmark-v2-data. Access to the code used to prepare this dataset is available on an additional Github repository: https://github.com/Life-Cycle-Lab/wblca-benchmark-v2-data-preparation.Release Notes:2025-02-24 - First public release2025-05-05 - Title revised and two supplementary dataset files added: data_glossary.xlsx and material_definitions.xlsx.

Yearly citation counts for the publication titled "Big Data in product lifecycle management".

Purpose: The need to assess the sustainability attributes of the United States beef industry is underscored by its importance to food security locally and globally. A life cycle assessment (LCA) of the US beef value chain was conducted to develop baseline information on the environmental impacts of the industry including metrics of the cradle-to-farm gate (feed production, cow-calf, and feedlot operations) and post-farm gate (packing, case-ready, retail, restaurant, and consumer) segments. Methods: Cattle production (cradle-to-farm gate) data were obtained using the integrated farm system model (IFSM) supported with production data from the Roman L. Hruska US Meat Animal Research Center (USMARC). Primary data for the packing and case-ready phases were obtained from packers that jointly processed nearly 60% of US beef while retail and restaurant primary data represented 8 and 6%, respectively, of each sector. Consumer data were obtained from public databases and literature. The functional unit or consumer benefit (CB) was 1 kg of consumed, boneless, edible beef. The relative environmental impacts of processes along the full beef value chain were assessed using a third party validated BASF Corporation Eco-Efficiency Analysis methodology. Results and discussion: Value chain LCA results indicated that the feed and cattle production phases were the largest contributors to most environmental impact categories. Impact metrics included water emissions (7005 L diluted water eq/CB), cumulative energy demand (1110 MJ/CB), and land use (47.4 m2a eq/CB). Air emissions were acidification potential (726 g SO2 eq/CB), photochemical ozone creation potential (146.5 g C2H4 eq/CB), global warming potential (48.4 kg CO2 eq/CB), and ozone depletion potential (1686 μg CFC11 eq/CB). The remaining metrics calculated were abiotic depletion potential (10.3 mg Ag eq/CB), consumptive water use (2558 L eq/CB), and solid waste (369 g municipal waste eq/CB). Of the relative points adding up to 1 for each impact category, the feed phase contributed 0.93 to the human toxicity potential. Conclusions: This LCA is the first of its kind for beef and has been third party verified in accordance with ISO 14040:2006a and 14044:2006b and 14045:2012 standards. An expanded nationwide study of beef cattle production is now being performed with region-specific cattle production data aimed at identifying region-level benchmarks and opportunities for further improvement in US beef sustainability. Resources in this dataset:Resource Title: Electronic Supplementary Material ESM 1 - Tables S1 to S11 (docx). File Name: Web Page, url: https://static-content.springer.com/esm/art:10.1007/s11367-018-1464-6/MediaObjects/11367_2018_1464_MOESM1_ESM.docx Direct download, docx. Table S1: Feed phase input data (resource use and emissions) from USMARC and IFSM simulations used in the U.S. beef life cycle impact assessment and sources of their life-cycle inventories (LCI). Table S2: Cattle phase input data (resource use and emissions) from USMARC and IFSM simulations in the U.S. beef life cycle impact assessment and the sources of their respective life-cycle inventories (LCI). Table S3: Packing and case-ready phases input data (resource use and emissions) used in the U.S. beef life cycle impact assessment and the sources of their respective life-cycle inventories (LCI). Allocation factor of case-ready (i.e. % packaged at case ready) = 0.63. Table S4: Retail and consumer phases input data (resource use and emissions) used in U.S. beef life cycle impact assessment and their respective life-cycle inventory (LCI) sources. Allocation factor for retail and consumer (i.e. at-home consumption portion of total consumption sold through retail) = 0.47. Table S5: Restaurant phase input data (resource use and emissions) used in U.S. beef life cycle impact assessment and their respective life-cycle inventory (LCI) sources. Allocation factor (i.e. restaurant fraction of total beef consumption) = 0.53. Table S6: Essential raw materials considered in the U.S. beef life cycle impact assessment and respective weighting factors used for the determination of their Abiotic Depletion Potential (ADP). Table S7: Scoring system for toxic properties described by H-phrases for U.S. beef life cycle impact assessment (Landsiedel and Saling (2002) before our modification). Table S8: Land occupation and transformation weighting factors for U.S. beef life cycle impact assessment based on Ecosystem Damage Potentials (EDPs) from the Ecoinvent 2.2 life cycle inventory database (Frischknecht et al. 2005). Table S9: Air emissions and their respective weighting (equivalence) factors used in U.S. beef life cycle impact assessment. Table S10: Solid waste relative disposal costs used in U.S. beef life cycle impact assessment (Klein 2011). Table S11: Water emissions categories and their respective weighting factors based on regional regulatory limits used in the U.S. beef life cycle assessment.

Data Center Life Cycle Services Market Outlook

The global data center life cycle services market size was valued at approximately USD 5.8 billion in 2023 and is projected to reach an impressive USD 11.2 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 7.4% during the forecast period. This growth is predominantly driven by the increasing reliance on data centers in various industries, necessitating comprehensive life cycle services to ensure optimal performance, cost-effectiveness, and sustainability. The demand for cloud services, advancements in IT infrastructure, and the rapid digital transformation of businesses globally are pivotal elements propelling this market forward. As organizations strive for enhanced operational efficiency, the adoption of data center life cycle services becomes a strategic imperative, ensuring that data centers are planned, built, managed, and eventually decommissioned effectively.

One of the significant growth factors for the data center life cycle services market is the escalating volume of data generation across industries. With the proliferation of IoT devices, big data analytics, and the increasing use of artificial intelligence and machine learning, data centers are becoming central to business operations. This surge in data necessitates advanced data center infrastructure, which in turn fuels demand for life cycle services. These services provide a holistic approach to managing data centers from inception to retirement, ensuring that they remain efficient, secure, and aligned with organizational goals. Additionally, the growing emphasis on sustainability and energy efficiency in data centers is prompting businesses to adopt life cycle services to reduce carbon footprints and operational costs.

Another critical growth driver is the global shift towards cloud computing, which has transformed the data center landscape. As more organizations migrate to cloud platforms, there is a heightened need for effective data center life cycle services to manage this transition. These services are crucial in facilitating seamless integration, optimizing existing infrastructure, and ensuring data security and compliance during and after the migration process. Furthermore, the trend of edge computing, which involves processing data closer to its source, is creating new opportunities for data center life cycle services. As edge data centers proliferate, they require specialized services to manage their unique operational challenges and integration with larger cloud ecosystems.

Technological advancements and innovations in data center infrastructure also contribute to the growth of the life cycle services market. The advent of technologies such as software-defined data centers (SDDCs), hyper-converged infrastructure, and advanced cooling solutions is reshaping the way data centers are designed and managed. These technologies necessitate specialized knowledge and expertise, driving demand for comprehensive life cycle services that can support complex infrastructure and ensure seamless operation. Moreover, the need for data center modernization, driven by aging infrastructure and evolving business needs, is compelling organizations to seek life cycle services that can facilitate upgrades and modernization efforts without disrupting operations.

Managed Data Center Service is becoming increasingly important as organizations strive to optimize their IT operations while focusing on core business activities. By outsourcing data center management to specialized service providers, companies can benefit from expert handling of their infrastructure, ensuring high availability, security, and performance. These services encompass a wide range of activities, including monitoring, maintenance, and support, allowing businesses to leverage advanced technologies without the need for significant in-house resources. As the complexity of data center environments grows, Managed Data Center Service offers a strategic solution to manage these challenges efficiently, enabling organizations to scale their operations seamlessly and adapt to evolving technological demands.

Regionally, North America holds a significant share of the data center life cycle services market, driven by the high concentration of data centers and cloud service providers in the region. The United States, in particular, is a critical player, with major investments in data center infrastructure and a robust technology ecosystem. Europe follows closely, with countries like Germany, the UK, and the Netherlands leading in data cente

A Life Cycle 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.

A quantitative LCA-study requires Life Cycle Inventory (LCI) data on technical processes included in the system under study. Mostly such data are collected on a case-by-case basis with the help of the companies involved.

In LCI databases data are often organized around a unit process. A unit process describes the produced goods (economic output), consumed goods (economic input) , emitted substances (environmental output) and consumed resources (environmental input). A produced economic output is economic input of the next process in the chain. In this way unit processes are linked to a cradle-to-grave process chain relevant for a specific product.

The ELCD (European reference Life Cycle Database) comprises Life Cycle Inventory (LCI) data from front-running EU-level business associations and other sources for key materials, energy carriers, transport, and waste management. The respective data sets are officially provided and approved by the named industry association. The database contains both unit process data as also Life Cycle Inventory Results, which present the environmental inputs and outputs of a process chain.

Website: http://eplca.jrc.ec.europa.eu/ELCD3/processList.xhtml?stock=default

This document provides instructions for editing and submitting unit process or product system models to the USDA LCA Commons life cycle inventory (LCI) database. The LCA Commons LCI database uses the openLCA life cycle modeling tool's database schema. Therefore, this document describes how to import and edit data in openLCA and name and classify flows such that they properly import into and operate in the database. This document also describes metadata or documentation requirements for posting models to the LCA Commons. This document is an evolving standard for LCA Commons data. As USDA-NAL continues to gain experience in managing a general purpose LCI database and global conventions continue to evolve, so too will the LCA Commons Submission Guidelines. Resources in this dataset:Resource Title: LCA Commons Submission Guidelines_12/09/2015. File Name: lcaCommonsSubmissionGuidelines_Final_2015-12-09.pdf

OpenLCA Nexus is an online repository for LCA data. It combines data offered by world-leading LCA data providers such as PE International (GaBi databases), the ecoinvent centre (ecoinvent), or the Joint Research Centre from the European Commission (ELCD).

This website contains a powerful search engine for LCA data that allows filtering requested data sets by database, or by year, geographical location, by industrial sector, and by product and price. Nexus contains free and “for purchase” data sets.

Website: http://www.lifecycleinitiative.org/

A Life Cycle 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.

A quantitative LCA-study requires Life Cycle Inventory (LCI) data on technical processes included in the system under study. Mostly such data are collected on a case-by-case basis with the help of the companies involved.

In LCI databases process data are often organized around a unit process. A unit process describes the produced goods (economic output), consumed goods (economic input) , emitted substances (environmental output) and consumed resources (environmental input). A produced economic output is economic input of the next process in the chain. In this way unit processes are linked to a cradle-to-grave process chain relevant for a specific product.

ECOINVENT is a commercial database that provides well documented unit process data for thousands of products. The database contains both unit process data as also Life Cycle Inventory Results, which present the environmental inputs and outputs of a process chain.

Website: http://www.ecoinvent.org/