Suchergebnisse

This paper deals with the efficiency and sustainability of Construction and Demolition Waste (CDW) management in 30 Member States of the European Economic Area (EEA) (the 28 European Union countries plus Norway and Iceland) for the period 2010–2016 using Exploratory Data Analytics (EDA) and Data Envelopment Analysis (DEA). The first stage of the proposed methodology is EDA with already available (the CDW recovery rate) and suggested indicators (e.g., building stock characterization, dwelling occupancy ratio, macroeconomic ratios and CDW breakdown) to characterize the efficiency and sustainability of CDW management. The second stage is to assess the efficiency of countries using DEA through two original CDW production models, one for sustainability, measuring the efficiency of the construction sector for reducing its CDW, and the second a model to score the efficiency of maximizing the CDW recovery rate. The main outcome of the paper is the proposed methodology, which is a candidate for replacing current indicators in order to evaluate the performance of CDW policy, due to is adaptive nature, promoting the continuous improvement and overcoming the limitations of the poor quality of metrics, data and parametric indicators. The methodology has been experimentally validated using Eurostat data for 30 Member States of EEA, ranking them according to the two DEA model scores, to point out the countries considered efficient among those of their scale, as a reference for sustainable and efficient practices ; This research was funded by the Ministry of Economy, Industry and Competitiveness of Spain, Project TIN2016-75845-P (AEI/FEDER/EU) and SNEO-20161147 (CDTI) and by Xunta de Galicia and FEDER funds of the EU (Centro de Investigación de Galicia accreditation 2019–2022, ref. ED431G2019/01, and Consolidation Programme of Competitive Reference Groups, ref. ED431C 2017/04) ; SI

General practice is often a patient's first point of contact with the health system and the gateway to specialist services. In Australia different aspects of the health system are managed by the Commonwealth Government and individual state/territory governments. Although there is a long history of research using administrative data in Australia, this split in the management and funding of services has hindered whole-system research. Additionally, the administrative data typically available for research are often collected for reimbursement purposes and lack clinical information.
General practices collect a range of patient information including diagnoses, medications prescribed, results of pathology tests ordered and so on. Practices are increasingly using clinical information systems and data extraction tools to make use of this information. This paper describes approaches used on several research projects to access clinical, as opposed to administrative, general practice data which to date has seen little use as a resource for research.
This information was accessed in three ways. The first was by working directly with practices to access clinical and management data to support research. The second involved accessing general practice data through collaboration with Primary Health Networks, recently established in Australia to increase the efficiency and effectiveness of health services for patients. The third was via NPS MedicineWise's MedicineInsight program, which collects data from consenting practices across Australia and makes these data available to researchers.
We describe each approach including data access requirements and the advantages and challenges of each method. All approaches provide the opportunity to better understand data previously unavailable for research in Australia. The challenge of linking general practice data to other sources, currently being explored for general practice data, is discussed.
Finally, we describe some general practice data collections used for research internationally and how these compare to collections available in Australia.
Keywords:
General practice; administrative data; big data, health information systems, medical records systems

Among the obstacles confronting community researchers are difficulties in conducting comparative research involving more than a small number of communities. This is especially true when research is directed toward investigations of social processes and actions that cannot reasonably be tapped using available secondary data sources. One potential approach to resolving this dilemma involves the collection of information on social processes and actions in communities from knowledgeable "key informants." However, despite the fact that use of informants has become relatively common in community research, little attention has been directed to the specific strengths and weaknesses of such data collection procedures. Issues of validity and reliability of informant-based data have not been widely discussed, and there have been few attempts to assess or compare various informant selection criteria. In this article we focus on an empirical overview of the key informant method and the data it can generate. The analysis is based on data collected in conjunction with a study of growth mobilization processes in small urban places. Our findings provide mixed evidence regarding the contention that use of multiple informants from each study unit can provide reliable and valid data on community processes.

The views expressed in this report are those of the author and do not reflect the official policy or position of the department of defense or the U.S. Government. ; The Office of Naval Research Tropical Cyclone Motion initiative is a five-year program to improve basic understanding of tropical cyclone motion. The Tropical Cyclone Motion (TCM-90) field experiment was carried out during August and September 1990. The first section of this guide describes the overall data collection that combines the real-time and delayed data. The second section describes the preparation of the eight observation types contained in the merged data set. The third section describes the data base and magnetic tape formats. The fourth section is a summary of the data aspects of each Intensive Observing Period. ; The work reported herein was in support of the Accelerated Resea.rch Initiative on Tropical Cyclone Motion of the Office of Naval Research (Marine Meteorology). The Chief of Naval Research provided funding for data management activities.

This series publishes monograph length conceptual papers designed to promote theory and research on important substantive and methodological topics in the field of human resources management. Volume 30 of Research in Personnel and Human Resources Management (RPHRM) contains a collection of papers on important issues in the field of human resources management, including insights on employment branding, family owned firms, virtual global teams and intrinsic motivation, thus continuing the tradition of the series to develop a more informed understanding of the field. This collection of papers represents excellent scholarship and illustrates the truly interdisciplinary character of the field.

These last years, main IT companies have build software solutions and change management plans promoting data quality management within organizations concerned by the enhancement of their business intelligence system. These offers are closely similar data governance schemes based on a common paradigm called Master Data Management. These schemes appear generally inappropriate to the context of complex extended organizations. On the other hand, the community-based data governance schemes have shown their own efficiency to contribute to the reliability of data in digital social networks, as well as their ability to meet user expectations. After a brief analysis of the very specific constraints weighting on extended organization's data governance, and of peculiarities of monitoring and regulatory processes associated to management control and IT within these, we propose a new scheme inspired by Foucaldian analysis on governmentality: the Panopticon data governance paradigm. ; Pour répondre aux attentes de nombre d'organisations, qui cherchent à renforcer l'efficacité de leur système d'information décisionnel mis en défaut par la faible qualité des données de gestion récoltées en leur sein ou auprès de leurs partenaires, les éditeurs logiciels ont déployé des schémas relativement similaires de gouvernance des données dits de Master Data Management . Ces schémas s'avèrent souvent inadaptés aux contraintes pesant sur les organisations étendues. De leur coté, les schémas de gouvernance des données d'inspiration communautaire ont montré leur efficience et leur pertinence vis à vis des attentes des usagers amenés à contribuer à la fiabilité des données dans les réseaux sociaux numériques. Nous proposons un nouveau schéma de gouvernance des données adapté aux contraintes générales pesant sur les organisations étendues et inspiré des analyses Foucaldiennes de la gouvernementalité : la paradigme de gouvernance des données Panoptique

Volume 32 of Research in personnel and human resources management (RPHRM) contains seven papers on important issues in the field of human resources management. The subject matter in this volume covers myriad areas: compensation, performance evaluation, reputation, employee furloughs, and research methodology.

This white-paper expresses common requirements of Research Communities seeking to leverage Identity Federation for Authentication and Authorisation. Recommendations are made to Stakeholders to guide the future evolution of Federated Identity Management in a direction that better satisfies research use cases. The authors represent research communities, Research Services, Infrastructures, Identity Federations and Interfederations, with a joint motivation to ease collaboration for distributed researchers. The content has been edited collaboratively by the Federated Identity Management for Research (FIM4R) Community, with input sought at conferences and meetings in Europe, Asia and North America. ; The authors also acknowledge the support and collaboration of many other colleagues in their respective institutes, research communities and IT Infrastructures, together with the funding received by these from many different sources. These include but are not limited to the following: (i) The Worldwide LHC Computing Grid (WLCG) project is a global collaboration of more than 170 computing centres in 43 countries, linking up national and international grid infrastructures. Funding is acknowledged from many national funding bodies and we acknowledge the support of several operational infrastructures including EGI, OSG and NDGF/NeIC. (ii) EGI acknowledges the funding and support received from the European Commission and the many National Grid Initiatives and other members. EOSC-hub receives funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 777536. (iii) The work leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 730941 (AARC2). (iv) Work on the development of ESGF's identity management system has been supported by The UK Natural Environment Research Council and funding from the European Union's Seventh Framework Programme for research, technological development and demonstration ...