Take advantage of data portability options enabled by PDF/XML standard

2015 ◽  
Vol 15 (4) ◽  
pp. 9-9 ◽  
Author(s):  
Joan Hope
Keyword(s):  
Author(s):  
Toshiaki Takigawa

ABSTRACT This article examines antitrust issues concerning digital platforms equipped with big data. Recent initiatives by the Japanese competition agency are highlighted, comparing them with those by the USA and EU competition authorities. First examined is whether competition among platforms would result in a select few super platforms with market power, concluding that AI with machine learning has augmented the power of super platforms with strong AI-capability, leading to increased importance of merger control over acquisitions by platforms. Next scrutinized is the argument for utility-regulation to be imposed on super platforms, concluding that wide support is limited to data portability, leaving competition law as the key tool for addressing super platforms, its core tool being the provision against exclusionary conduct, enforcement of which, initially, concerns whether to order super platforms to render their data accessible to their rivals. Passive refusal-to-share data needs to be scrutinized under the essential facility doctrine. Beyond passive refusal, platforms’ exclusionary conduct requires competition agencies to weigh the conduct’s exclusionary effects against its efficiency effects. Finally addressed is exploitative abuse, explaining its relation to consumer protection, concluding that competition law enforcement on exploitative abuse should be minimized, since it accompanies risk of over-enforcement.


2021 ◽  
Vol 45 (3) ◽  
pp. 190-197
Author(s):  
Marlene Barth
Keyword(s):  

2018 ◽  
Vol 34 (2) ◽  
pp. 193-203 ◽  
Author(s):  
Paul De Hert ◽  
Vagelis Papakonstantinou ◽  
Gianclaudio Malgieri ◽  
Laurent Beslay ◽  
Ignacio Sanchez

2020 ◽  
Vol 69 ◽  
pp. 102564 ◽  
Author(s):  
Wing Man Wynne Lam ◽  
Xingyi Liu
Keyword(s):  

Author(s):  
Darko Androcec

Abstract Platform as a service model has certain obstacles, including data lock-in. It is expensive and time-consuming to move data to the alternative providers. This paper presents data storage options in platform as a service offers and identifies the most common data portability problems between various commercial providers of platform as a service. There are differences among their storage models, data types, remote APIs for data manipulation and query languages. Representing data models of platform as a service and data mappings by means of ontology can provide a common layer to achieve data portability among different cloud providers.


Author(s):  
Andrew Iliadis ◽  
Wesley Stevens ◽  
Jean-Christophe Plantin ◽  
Amelia Acker ◽  
Huw Davies ◽  
...  

This panel focuses on the way that platforms have become key players in the representation of knowledge. Recently, there have been calls to combine infrastructure and platform-based frameworks to understand the nature of information exchange on the web through digital tools for knowledge sharing. The present panel builds and extends work on platform and infrastructure studies in what has been referred to as “knowledge as programmable object” (Plantin, et al., 2018), specifically focusing on how metadata and semantic information are shaped and exchanged in specific web contexts. As Bucher (2012; 2013) and Helmond (2015) show, data portability in the context of web platforms requires a certain level of semantic annotation. Semantic interoperability is the defining feature of so-called "Web 3.0"—traditionally referred to as the semantic web (Antoniou et al, 2012; Szeredi et al, 2014). Since its inception, the semantic web has privileged the status of metadata for providing the fine-grained levels of contextual expressivity needed for machine-readable web data, and can be found in products as diverse as Google's Knowledge Graph, online research repositories like Figshare, and other sources that engage in platformizing knowledge. The first paper in this panel examines the international Schema.org collaboration. The second paper investigates the epistemological implications when platforms organize data sharing. The third paper argues for the use of patents to inform research methodologies for understanding knowledge graphs. The fourth paper discusses private platforms’ extraction and collection of user metadata and the enclosure of data access.


Pravovedenie ◽  
2019 ◽  
Vol 63 (4) ◽  
pp. 522-572
Author(s):  
Ioannis Lianos ◽  
◽  
Zingales Nicolo ◽  
Andrew McLean ◽  
Azza Raslan ◽  
...  

The article reveals new problems arising in the digital economy and the need for antimonopoly regulation. It also analyzes the legal remedies and procedures for competition law in the context of digitalization. Redesigning competition law procedures for the digital economy can take two forms: 1) ensure the rate of competition law enforcement so as to avoid acting in situations when market tipping has already occurred and it is almost impossible to reverse the anticompetitive outcome; 2) develop remedial action that takes into account the scale of anticompetitive behavior, which might better reflect the complexity of digital markets. Competition authorities should consider utilizing interim measures and commitment decisions in the digital economy, both instruments playing a complementary role. Interim measures can be used within a revised framework with lower thresholds, but this should only be reserved for complicated and lengthy investigations where there is risk of irreversible harm to competition. These measures should be applied to the most harmful violations, such as cartels and abuse of dominance. Commitment decisions can be utilized to address less serious violations where it is also beneficial to the competition authority to reach a swift resolution. The article analyzes the division of companies as a way to eliminate violations. Division can take different forms and need not be structural. A certain ‘light-touch’ separation may be achieved by policies mandating that digital platforms not use personal data that has been harvested by the members of their ecosystems unless they have the explicit consent of their users. The article also addresses issues such as data portability and cross-platform compatibility. The authors have proved that the BRICS countries need to supplement their national legislation on the protection of personal data in terms of norms on their portability. Although it is not mainly designed as a tool to combat monopolies and market power, data portability will have a significant impact on competition in digital markets. Multisided digital platforms are characterized by a high network and lock-in effects. In a winner takes all, or most, where undertakings compete for the market rather than in the market, the right to data portability may provide some relief from the power that large digital platforms hold.


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