Thematische Bibliographien / Transparency and data for valuation

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Auswahl der wissenschaftlichen Literatur zum Thema „Transparency and data for valuation“

Autor: Grafiati

Veröffentlicht am 29. Juni 2021

Zuletzt aktualisiert am 7. Februar 2022

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Zeitschriftenartikel zum Thema "Transparency and data for valuation"

Grover, Richard. „Mass valuations“. Journal of Property Investment & Finance 34, Nr. 2 (07.03.2016): 191–204. http://dx.doi.org/10.1108/jpif-01-2016-0001.

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Purpose – The purpose of this paper is to review the issues involved in the implementation of mass valuation systems and the conditions needed for doing so. Design/methodology/approach – The method makes use of case studies of and fieldwork in countries that have either recently introduced mass valuations, brought about major changes in their systems or have been working towards introducing mass valuations. Findings – Mass valuation depends upon a degree of development and transparency in property markets and an institutional structure capable of collecting and maintaining up-to-date price data and attributes of properties. Countries introducing mass valuation may need to undertake work on improving the institutional basis for this as a pre-condition for successful implementation of mass valuation. Practical implications – Although much of the literature is concerned with how to improve the statistical modelling of market prices, there are significant issues concerned with the type and quality of the data used in mass valuation models and the requirements for successful use of mass valuations. Originality/value – Much of the literature on mass valuation takes the form of the development of statistical models of value. There has been much less attention given to the issues involved in the implementation of mass valuation.

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Heller, J., und Daria Zlachevskaia. „Is it possible to improve methods of intellectual property valuation?“ Zeszyty Teoretyczne Rachunkowości 45, Nr. 2 (21.06.2021): 161–86. http://dx.doi.org/10.5604/01.3001.0014.9568.

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Purpose: The purpose of this study is to identify ways to improve or simplify the quality and accuracy of IP valuations via accounting regulation improvements. Methodology/approach: This research relies on qualitative research methods such as case law analysis and comparative research of accounting standards and approaches. Findings: Evidence from this study points towards the conclusion that financial statements currently only reflect a historic financial record of the particular business, profoundly biased by a conservative tangible assets perspective. The central thesis of this study is that it makes sense to adopt a comprehensive intellectual property valuation strategy to ascertain the specific value of the intangible assets since the comprehensive application of valuation models is likely to yield superior results to using them separately. Research limitations/implications: Although the proposed approach seeks to bring more clarity to the valuation process while simplifying the appraisal of intellectual property assets, its efficacy is subject to increased transparency, a maturing intellectual property market, and credible data availability. Originality/value: This study makes a valuable contribution to research on methods that facilitate accurate intellectual property valuation while offering an alternative valuation model which combines the strengths of individual valuation models.

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Raslanas, Saulius, und Laura Tupenaite. „PECULIARITIES OF PRIVATE HOUSES VALUATION BY SALES COMPARISON APPROACH“. Technological and Economic Development of Economy 11, Nr. 4 (31.12.2005): 233–41. http://dx.doi.org/10.3846/13928619.2005.9637703.

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Sales comparison approach is the most often used approach in private houses valuation practice. This article discusses cases of sales comparison approach method application; its methodology as well as key factors to be considered in objective private houses valuation. Furthermore problem of not sufficient comparative sales prices in neighborhood is discussed emphasizing on its influence to appraised object value reliability. In order to avoid incorrect valuation basing on experience of the USA and other foreign countries some proposals for Lithuanian valuation methodology were given: to establish an exact number of comparative objects, to distinguish the key factors to be considered in every special private houses valuation case and to establish variance limits between appraised object value and comparative sales prices. In order to guarantee real estate market transparency professional appraisals organizations must be established to be responsible for real estate market research as well as analysis data and sales prices official announcements and other information spread tasks.

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Robinson, Angela, Anne E. Spencer, José Luís Pinto-Prades und Judith A. Covey. „Exploring Differences between TTO and DCE in the Valuation of Health States“. Medical Decision Making 37, Nr. 3 (27.09.2016): 273–84. http://dx.doi.org/10.1177/0272989x16668343.

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There is recent interest in using discrete choice experiments (DCEs) to derive health state utility values, and results can differ from time tradeoff (TTO). Clearly, DCE is “choice based,” whereas TTO is generally considered a “matching” task. We explore whether procedural adaptations to the TTO, which make the method more closely resemble a DCE, make TTO and choice converge. In particular, we test whether making the matching procedure in TTO less “transparent” to the respondent reduces disparities between TTO and DCE. We designed an interactive survey that was hosted on the Internet, and 2022 interviews were achieved in the United Kingdom in a representative sample of the population. We found a marked divergence between TTO and DCE, but this was not related to the “transparency” of the TTO procedure. We conclude that a difference in the error structure between TTO and choice and that factors other than differences in utility are affecting choices is driving the divergence. The latter has fundamental implications for the way choice data are analyzed and interpreted.

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Lim, Audrey Li Chin, und Wong Wai Wai. „Embracing Blockchain Applications in Fundamental Analysis for Investment Management“. Asia Proceedings of Social Sciences 2, Nr. 2 (03.12.2018): 111–14. http://dx.doi.org/10.31580/apss.v2i2.370.

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The attributes of blockchain; efficiency in asset transfer, data accuracy, time-stamped transaction and transparency applications are postulated to have positive effects on fundamental analysis. Psychological factor such as herding may affects fundamental analysis which in turn affects investment decision making. Herding is not necessarily always deemed to be an irrational or negative factor. Investors who are affected by herding may still be able to invest in a rational manner and make a profit. With greater transparency in information and better data quality offered by Blockchain applications, herding behaviour by instititional investor could improve the stock valuation as well as the stock market fundamentals. These could be utilised by individual investors to make better and informed decision for stock picking. However, this is may only applicable to reputational herding.

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Schröter, Matthias, Emilie Crouzat, Lisanne Hölting, Julian Massenberg, Julian Rode, Mario Hanisch, Nadja Kabisch et al. „Assumptions in ecosystem service assessments: Increasing transparency for conservation“. Ambio 50, Nr. 2 (11.09.2020): 289–300. http://dx.doi.org/10.1007/s13280-020-01379-9.

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AbstractConservation efforts are increasingly supported by ecosystem service assessments. These assessments depend on complex multi-disciplinary methods, and rely on a number of assumptions which reduce complexity. If assumptions are ambiguous or inadequate, misconceptions and misinterpretations may arise when interpreting results of assessments. An interdisciplinary understanding of assumptions in ecosystem service science is needed to provide consistent conservation recommendations. Here, we synthesise and elaborate on 12 prevalent types of assumptions in ecosystem service assessments. These comprise conceptual and ethical foundations of the ecosystem service concept, assumptions on data collection, indication, mapping, and modelling, on socio-economic valuation and value aggregation, as well as about using assessment results for decision-making. We recommend future assessments to increase transparency about assumptions, and to test and validate them and their potential consequences on assessment reliability. This will support the taking up of assessment results in conservation science, policy and practice.

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Coslor, Erica. „Transparency in an opaque market: Evaluative frictions between “thick” valuation and “thin” price data in the art market“. Accounting, Organizations and Society 50 (April 2016): 13–26. http://dx.doi.org/10.1016/j.aos.2016.03.001.

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Dennis, Sean A., Jeremy B. Griffin und Karla M. Zehms. „The Value Relevance of Managers' and Auditors' Disclosures About Material Measurement Uncertainty“. Accounting Review 94, Nr. 4 (01.09.2018): 215–43. http://dx.doi.org/10.2308/accr-52272.

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ABSTRACT Regulators now require auditors to provide information about how they evaluate complex estimates. Because users encounter this auditor-provided information alongside management-provided information, we jointly examine the value relevance of these disclosures. We also examine whether visual cues in audit reports influence how nonprofessional investors use these disclosures. We find that disclosures from managers and auditors provide different value-relevant information about the same underlying issue. While users struggle to weight fully narrative auditor disclosures in their valuation judgments without corresponding management disclosures, visual cues facilitate their weighting of information about the audit. Specifically, users take increased price protection when auditor disclosures also include visual cues. However, consistent with market signaling theory, corresponding voluntary disclosures from management attenuate this price protection. This suggests management can mitigate negative valuation effects that may arise from auditor disclosures, and implies that visual cues in audit reports can prompt managers to increase disclosure transparency. Data Availability: Contact the authors.

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Ganesh, Maya Indira. „Entanglement“. A Peer-Reviewed Journal About 6, Nr. 1 (01.04.2017): 76–87. http://dx.doi.org/10.7146/aprja.v6i1.116013.

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This paper is based on driver-less car technology as currently being developed by Google and Tesla, two companies that amplify their work in the media. More specifically, I focus on the moment of real and imagined crashes involving driver-less cars, and argue that the narrative of ‘ethics of driver-less cars’ indicates a shift in the construction of ethics, as an outcome of machine learning rather than a framework of values. Through applications of the ‘Trolley Problem’, among other tests, ethics has been transformed into a valuation based on processing of big data. Thus ethics-as-software enables what I refer to as big data-driven accountability. In this formulation, ‘accountability’ is distinguished from ‘responsibility’; responsibility implies intentionality and can only be assigned to humans, whereas accountability includes a wide net of actors and interactions (in Simon). ‘Transparency’ is one of the more established, widely acknowledged mechanisms for accountability; based on the belief that seeing into a system delivers the truth of that system and thereby a means to govern it. There are however limitations to this mechanism in the context of algorithmic transparency (Ananny and Crawford).

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Stone, Patricia W., Richard H. Chapman, Eileen A. Sandberg, Bengt Liljas und Peter J. Neumann. „MEASURING COSTS IN COST-UTILITY ANALYSES“. International Journal of Technology Assessment in Health Care 16, Nr. 1 (Januar 2000): 111–24. http://dx.doi.org/10.1017/s0266462300161100.

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Objectives: Although cost-utility analysis (CUA) has been recommended by some experts as the preferred technique for economic evaluation, there is controversy regarding what costs should be included and how they should be measured. The purpose of this study was to: a) identify the cost components that have been included in published CUAs; b) catalogue the sources of valuation used; c) examine the methods employed for estimating costs; and d) explore whether methods have changed over time.Methods: We conducted a comprehensive search of the published literature and systematically collected data on the cost estimation of CUAs. We audited the cost estimates in 228 CUAs.Results: In most studies (99%), analysts included some direct healthcare costs. However, the inclusion of direct non-healthcare and time costs (17%) was generally lacking, as was productivity costs (8%). Only 6% of studies considered future costs in added life-years. In general, we found little evidence of change in methods over time. The most frequently used source for valuation of healthcare services was published estimates (73%). Few studies obtained utilization data from RCTs (10%) or relied on other primary data (23%). About two-thirds of studies conducted sensitivity analyses on cost estimates.Conclusions: We found wide variations in the estimation of costs in published CUAs. The study underscores the need for more uniformity and transparency in the field, and continued vigilance over cost estimates in CUAs on the part of analysts, reviewers, and journal editors.

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Dissertationen zum Thema "Transparency and data for valuation"

Ineza, Kayihura Didier. „Adoption of Artificial Intelligence in Commercial Real Estate : Data Challenges, Transparency and Implications for Property Valuations“. Thesis, KTH, Fastigheter och byggande, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298074.

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Investment decision in the property market is closely connected to property valuation. Thus, accuracy of valuation results and deep analysis of the market is essential. Artificial Intelligence (AI) models have been successfully adopted in different fields and markets. However, the real estate market is typically lagged in time to adapt to these changes. Swedish commercial property market arrangements are characterized by increasing confidentiality of certain data types. As a consequence, the adoption of the AI valuation models in the Swedish commercial property market is slowed down. This study aims to bridge the gap in existing research by focusing on the market actor’s behavior in relation to market development and exploiting the capabilities inherent in adopting AI models in commercial property valuations. The qualitative approach based on interviews with experts has been used to achieve the main objective of this study. Results suggest that the AI valuation models used on commercial properties are applied on valuation data and not on real transaction data. Analysis covers different aspects including data challenges and its disclosure, the role of government authorities, market and data perspectives of AI application on property valuations. A framework on AI implication in property valuation in different time horizons presented in this study will help to overcome data challenges and improve transparency of valuation results. This study is beneficial to various actors in the property market, including government authorities, investors, valuers and researchers.
Investeringsbeslut på fastighetsmarknaden är sammankopplat till fastighetsvärdering. Således är noggrannhet i värderingsresultat och en djup marknadsanalys nödvändiga. Artificiell intelligens (AI) modeller applicerades framgångsrikt inom olika områden och marknader. Fastighetsmarknaden är dock försenad i tid för att anpassa sig till dessa förändringar. Svenskt kommersiellt fastighetsmarknadsarrangemang är känd för ökad sekretess för vissa datatyper. Som en följd av detta minskar adopteringen av AI-värderingsmodeller på den svenska kommersiella fastighetsmarknaden. Denna studie syftar på att fylla i gapet i befintlig forskning genom att fokusera på marknadsaktörens beteende i förhållande till marknadsutveckling och utnyttja de möjligheter som ligger i adopteringen av AI-modeller i kommersiella fastighetsvärderingar.Den kvalitativa metoden baserad på intervjuer med experter har använts för att uppnå huvudmålet för denna studie. Resultaten tyder på att AI-värderingsmodellerna som används på kommersiella fastigheter tillämpas på värderingsdata och inte på transaktionsdata. Analysen täcker olika aspekter, inklusive datautmaningar och dess avslöjande, myndigheternas roll, marknads- och dataperspektiv för AI-tillämpning på fastighetsvärderingar. Ett ramverk för AI-implikationer i fastighetsvärdering inom olika tidshorisonter som presenteras i denna studie kommer att hjälpa till att överkomma datautmaningar och förbättra transparensen i värderingsresultaten. Denna studie är nyttig för olika aktörer på fastighetsmarknaden, inklusive myndigheter, investerare, värderare och forskare.

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Sciuto, Alex. „Data Visualization for Medical Price Education and Transparency“. Research Showcase @ CMU, 2015. http://repository.cmu.edu/theses/94.

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The health care system in the United States is changing rapidly. Individual patients are expected to become educated medical consumers making informed choices and paying for those choices. Many researchers and designers are studying how medical consumers understand their medical care, but there is an opportunity for meaningful design strategies using data visualization to help consumers understand how much they pay for their care. This thesis uses service and user-centered design methods and interactive data visualization to create systems that gather medical prices and display them back to users all with the goal of creating more educated medical consumers.

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Jackson, Kirsti. „Qualitative methods, transparency, and qualitative data analysis software| Toward an understanding of transparency in motion“. Thesis, University of Colorado at Boulder, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3621346.

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This study used in-depth, individual interviews to engage seven doctoral students and a paired member of their dissertation committee in discussions about qualitative research transparency and the use of NVivo, a Qualitative Data Analysis Software (QDAS), in pursuing it. The study also used artifacts (an exemplary qualitative research article of the participant's choice and the student's written dissertation) to examine specific researcher practices within particular contexts. The design and analysis were based on weak social constructionist (Schwandt, 2007), boundary object (Star, 1989; Star & Griesemer, 1989) and boundary-work (Gieryn, 1983, 1999) perspectives to facilitate a focus on: 1) The way transparency was used to coordinate activity in the absence of consensus. 2) The discursive strategies participants employed to describe various camps (e.g., qualitative and quantitative researchers) and to simultaneously stake claims to their understanding of transparency.

The analysis produced four key findings. First, the personal experiences of handling their qualitative data during analysis influenced the students' pursuit of transparency, long before any consideration of being transparent in the presentation of findings. Next, the students faced unpredictable issues when pursuing transparency, to which they responded in situ, considering a wide range of contextual factors. This was true even when informed by ideal types (Star & Griesemer, 1989) such as the American Educational Research Association (2006) guidelines that provided a framework for pursuing the principle of transparency. Thirdly, the QDAS-enabled visualizations students used while working with NVivo to interpret the data were described as a helpful (and sometimes indispensable) aspect of pursuing transparency. Finally, this situational use of visualizations to pursue transparency was positioned to re-examine, verify, and sometimes challenge their interpretations of their data over time as a form of self-interrogation, with less emphasis on showing their results to an audience. Together, these findings lead to a new conceptualization of transparency in motion, a process of tacking back and forth between situated practice of transparency and transparency as an ideal type. The findings also conclude with several proposals for advancing a transparency pedagogy. These proposals are provided to help qualitative researchers move beyond the often implicit, static, and post-hoc invocations of transparency in their work.

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Nevitt, S. J. „Data sharing and transparency : the impact on evidence synthesis“. Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3017585/.

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Hudson, Sara P. „Using contingent valuation data to simulate referendums“. Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-03302010-020112/.

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Nicholson, Alexander Abu-Mostafa Yaser S. „Generalization error estimates and training data valuation /“. Diss., Pasadena, Calif. : California Institute of Technology, 2002. http://resolver.caltech.edu/CaltechETD:etd-09062005-083717.

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Rowley, Steven. „A National Valuation Evidence Database : the future of valuation data provision and collection“. Thesis, Northumbria University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245441.

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Pulls, Tobias. „Preserving Privacy in Transparency Logging“. Doctoral thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-35918.

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The subject of this dissertation is the construction of privacy-enhancing technologies (PETs) for transparency logging, a technology at the intersection of privacy, transparency, and accountability. Transparency logging facilitates the transportation of data from service providers to users of services and is therefore a key enabler for ex-post transparency-enhancing tools (TETs). Ex-post transparency provides information to users about how their personal data have been processed by service providers, and is a prerequisite for accountability: you cannot hold a controller accountable for what is unknown. We present three generations of PETs for transparency logging to which we contributed. We start with early work that defined the setting as a foundation and build upon it to increase both the privacy protections and the utility of the data sent through transparency logging. Our contributions include the first provably secure privacy-preserving transparency logging scheme and a forward-secure append-only persistent authenticated data structure tailored to the transparency logging setting. Applications of our work range from notifications and deriving data disclosures for the Data Track tool (an ex-post TET) to secure evidence storage.
The subject of this dissertation is the construction of privacy-enhancing technologies (PETs) for transparency logging, a technology at the intersection of privacy, transparency, and accountability. Transparency logging facilitates the transportation of data from service providers to users of services and is therefore a key enabler for ex-post transparency-enhancing tools (TETs). Ex-post transparency provides information to users about how their personal data have been processed by service providers, and is a prerequisite for accountability: you cannot hold a controller accountable for what is unknown. We present three generations of PETs for transparency logging to which we contributed. We start with early work that defined the setting as a foundation and build upon it to increase both the privacy protections and the utility of the data sent through transparency logging. Our contributions include the first provably secure privacy-preserving transparency logging scheme and a forward-secure append-only persistent authenticated data structure tailored to the transparency logging setting. Applications of our work range from notifications and deriving data disclosures for the Data Track tool (an ex-post TET) to secure evidence storage.

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Murmann, Patrick. „Towards Usable Transparency via Individualisation“. Licentiate thesis, Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-71120.

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The General Data Protection Regulation grants data subjects the legal rights of transparency and intervenability. Ex post transparency provides users of data services with insight into how their personal data have been processed, and potentially clarifies what consequences will or may arise due to the processing of their data. Technological artefacts, ex post transparency-enhancing tools (TETs) convey such information to data subjects, provided the TETs are designed to suit the predisposition of their audience. Despite being a prerequisite for transparency, however, many of the TETs available to date lack usability in that their capabilities do not reflect the needs of their final users. The objective of this thesis is therefore to systematically apply the concept of human-centred design to ascertain design principles that demonstrably lead to the implementation of a TET that facilitates ex post transparency and supports intervenability. To this end, we classify the state of the art of usable ex post TETs published in the literature and discuss the gaps therein. Contextualising our findings in the domain of fitness tracking, we investigate to what extent individualisation can help accommodate the needs of users of online mobile health services. We introduce the notion of privacy notifications as a means to inform data subjects about incidences worthy of their attention and examine how far privacy personas reflect the preferences of distinctive groups of recipients. We suggest a catalogue of design guidelines that can serve as a basis for specifying context-sensitive requirements for the implementation of a TET that leverages privacy notifications to facilitate ex post transparency, and which also serve as criteria for the evaluation of a future prototype.

Paper 2 ingick som manuskript i avhandlingen, nu publicerad.

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Bonatti, Piero A., Bert Bos, Stefan Decker, Garcia Javier David Fernandez, Sabrina Kirrane, Vassilios Peristeras, Axel Polleres und Rigo Wenning. „Data Privacy Vocabularies and Controls: Semantic Web for Transparency and Privacy“. CEUR Workshop Proceedings, 2018. http://epub.wu.ac.at/6490/1/SW4SG_2018.pdf.

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Managing Privacy and understanding the handling of personal data has turned into a fundamental right¿at least for Europeans since May 25th with the coming into force of the General Data Protection Regulation. Yet, whereas many different tools by different vendors promise companies to guarantee their compliance to GDPR in terms of consent management and keeping track of the personal data they handle in their processes, interoperability between such tools as well uniform user facing interfaces will be needed to enable true transparency, user-configurable and -manageable privacy policies and data portability (as also¿implicitly¿promised by GDPR). We argue that such interoperability can be enabled by agreed upon vocabularies and Linked Data.

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Bücher zum Thema "Transparency and data for valuation"

San Francisco (Calif.). Dept. of Building Inspection. Cost schedule: Building valuation data. San Francisco, Calif: Dept. of Building Inspection, 2002.

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San Francisco (Calif.). Dept. of Building Inspection. Cost schedule: Building valuation data. San Francisco, Calif: Dept. of Building Inspection, 2001.

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San Francisco (Calif.). Dept. of Building Inspection. Cost schedule: Building valuation data. San Francisco, Calif: Dept. of Building Inspection, 2003.

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Schatt, Stanley. Solutions manual and transparency masters. New York: Macmillan, 1990.

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Kester, Anne Y. IMF data standards initiatives: A consultative approach to enhancing global data transparency. [Washington, D.C.]: International Monetary Fund, Statistics Dept., 2006.

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John, Jones. Farm real estate historical series data, 1950. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 1985.

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Paradata and transparency in virtual heritage. Farnham, Surrey, England: Ashgate, 2012.

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Landier, Augustin. Regulating systemic risk through transparency: Tradeoffs in making data public. Cambridge, MA: National Bureau of Economic Research, 2011.

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Masci, Pietro, José Antonio Laínez Gadea und Juan José Durante. International accounting standards: Transparency, disclosure and valuation for Latin America and the Caribbean. Washington, D.C: Inter-American Development Bank, 2004.

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Greene, Catherine. U.S. farmland values, 1982-84: A comparison of experimental and traditional data. [Washington, D.C.]: U.S. Dept. of Agriculture, Economic Research Service, Natural Resource Economics Division, 1985.

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Buchteile zum Thema "Transparency and data for valuation"

Washington, Anne L. „Transparency“. In Encyclopedia of Big Data, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32001-4_199-1.

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Washington, Anne L. „Transparency“. In Encyclopedia of Big Data, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32001-4_199-2.

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Schöne, Max. „Data“. In Real Options Valuation, 6–8. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-07493-7_2.

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Lambert, Paul B. „Transparency“. In Essential Introduction to Understanding European Data Protection Rules, 375–84. Boca Raton : CRC Press, 2017.: Auerbach Publications, 2017. http://dx.doi.org/10.1201/9781138069848-35.

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Weik, Martin H. „data circuit transparency“. In Computer Science and Communications Dictionary, 342. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4216.

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Moro Visconti, Roberto. „Big Data Valuation“. In The Valuation of Digital Intangibles, 345–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36918-7_13.

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Wang, Ze, Jingqiang Lin, Quanwei Cai, Qiongxiao Wang, Jiwu Jing und Daren Zha. „Blockchain-Based Certificate Transparency and Revocation Transparency“. In Financial Cryptography and Data Security, 144–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-58820-8_11.

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Weik, Martin H. „data signaling rate transparency“. In Computer Science and Communications Dictionary, 358. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4375.

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Schnidman, Evan A., und William D. MacMillan. „Transparency: Data Meets Democracy“. In How the Fed Moves Markets, 39–48. New York: Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/9781137432582_5.

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Konferenzberichte zum Thema "Transparency and data for valuation"

Madala, D. S. V., Mahabir Prasad Jhanwar und Anupam Chattopadhyay. „Certificate Transparency Using Blockchain“. In 2018 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2018. http://dx.doi.org/10.1109/icdmw.2018.00018.

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Corrêa, Andreiwid Sheffer, Pedro Luiz Pizzigatti Corrêa und Flávio Soares Corrêa da Silva. „Transparency portals versus open government data“. In the 15th Annual International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2612733.2612760.

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Angulo, Julio, Simone Fischer-Hübner, Tobias Pulls und Erik Wästlund. „Usable Transparency with the Data Track“. In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702613.2732701.

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Ma, Xiao, und Xu Zhang. „MDV: A Multi-Factors Data Valuation Method“. In 2019 5th International Conference on Big Data Computing and Communications (BIGCOM). IEEE, 2019. http://dx.doi.org/10.1109/bigcom.2019.00016.

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Sathananthan, Suthamathy. „Data valuation considering knowledge transformation, process models and data models“. In 2018 12th International Conference on Research Challenges in Information Science (RCIS). IEEE, 2018. http://dx.doi.org/10.1109/rcis.2018.8406649.

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O'Hara, Kieron. „Transparency, open data and trust in government“. In the 3rd Annual ACM Web Science Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2380718.2380747.

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Barreto, Patrick, Luciana Salgado und José Viterbo. „Transparency Communication Strategies in Human-Data Interaction“. In the XIV Brazilian Symposium. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3229345.3229414.

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Hong, Sounman. „Electoral Competition, Transparency, and Open Government Data“. In dg.o '20: The 21st Annual International Conference on Digital Government Research. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3396956.3398254.

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Baker, Michael, Jonathan Groff, Françoise Détienne, Jerry Andriessen, Mirjam Pardijs, Michael Hogan, Owen Harney, Erna Ruijer und Vittorio Scarano. „Technology-supported effective transparency around open data“. In ECCE 2017: European Conference on Cognitive Ergonomics 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3121283.3121293.

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Abiteboul, Serge, Pierre Bourhis und Victor Vianu. „Explanations and Transparency in Collaborative Workflows“. In SIGMOD/PODS '18: International Conference on Management of Data. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3196959.3196975.

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Berichte der Organisationen zum Thema "Transparency and data for valuation"

Head, Stephany J., und Julianne B. Nelson. Data Rights Valuation in Software Acquisitions. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada565798.

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La Rosa, L., und T. Sandoval-Martín. The Transparency Law‘s insufficiency for Data Journalism‘s practices in Spain. Revista Latina de Comunicación Social, November 2016. http://dx.doi.org/10.4185/rlcs-2016-1142en.

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Landier, Augustin, und David Thesmar. Regulating Systemic Risk through Transparency: Tradeoffs in Making Data Public. Cambridge, MA: National Bureau of Economic Research, Dezember 2011. http://dx.doi.org/10.3386/w17664.

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Kahn, Michael, Toan Ong, Juliana Barnard und Julie Maertens. Building PCOR Value and Integrity with Data Quality and Transparency Standards. Patient-Centered Outcomes Research Institute (PCORI), März 2018. http://dx.doi.org/10.25302/3.2018.me.13035581.

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Ludwig, Jens, und Philip Cook. The Benefits of Reducing Gun Violence: Evidence from Contingent-Valuation Survey Data. Cambridge, MA: National Bureau of Economic Research, Juni 1999. http://dx.doi.org/10.3386/w7166.

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Braguinsky, Serguey, und Sergey Mityakov. Foreign Corporations and the Culture of Transparency: Evidence from Russian Administrative Data. Cambridge, MA: National Bureau of Economic Research, Januar 2012. http://dx.doi.org/10.3386/w17731.

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Uberhuaga, Patricia del Carmen, und Carsten Smith Olsen. Can we trust the data? : methodological experiences with forest product valuation in lowland Bolivia. Unknown, 2008. http://dx.doi.org/10.35648/20.500.12413/11781/ii123.

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Parish, Simon, Marc J. Cohen und Tigist Mekuria. Follow the Money: Using International Aid Transparency Initiative data to trace development aid flows to their end use. Oxfam; Development Initiatives, März 2018. http://dx.doi.org/10.21201/2017.1800.

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Benages, Eva, und Matilde Mas. Knowledge-Based Capital in a Set of Latin American Countries: The LA KLEMS-IADB Project. Inter-American Development Bank, April 2021. http://dx.doi.org/10.18235/0003202.

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Annotation:

This paper presents the framework and methodology for the economic valuation of the knowledge-based economy in five Latin American (LA) countries, namely Costa Rica, El Salvador, Mexico, Peru and the Dominican Republic, for which a new database (IDB-Ivie, 2020) has recently been released. It uses an alternative approach to measuring the knowledge intensity of economies as to those based on the aggregation of industries according to selected indicators such as research and development (R&D) expenditure or labor force skills. Instead, we follow an economic approach rooted in the growth accounting methodology, determining the contribution of each individual factor of production (capital and labor) according to the prices of the services it provides. This methodology will be applied to the above-mentioned LA countries, and to the United States and Spain, which are used as benchmarks. Data are available for the period 1995-2016.

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