Data management

About: Data management is a research topic. Over the lifetime, 31574 publications have been published within this topic receiving 424326 citations.

Knowledge Nodes: the Building Blocks of a Distributed Approach to Knowledge.

Abstract: In this paper, we criticise the objectivistic approach that underlies most current sys- tems for Knowledge Management. We show that such an approach is incompatible with the very nature of what is to be managed (i.e., knowledge), and we argue that this may partially explain why most knowledge management systems are deserted by users. We propose a different ap- proach - called distributed knowledge management - in which subjective and social (in a word, contextual) aspects of knowledge are seriously taken into account. Finally, we present a general technological architecture in which these ideas are implemented by introducing the concept of knowledge node.

Querying multimedia data from multiple repositories by content: the Garlic project

Abstract: We describe Garlic, an object-oriented multimedia middleware query system. Garlic enables existing data management components, such as a relational database or a full text search engine, to be integrated into an extensible information management system that presents a common interface and user access tools. We focus in this paper on how QBIC, an image retrieval system that provides content-based image queries, can be integrated into Garlic. This results in a system in which a single query can combine visual and nonvisual data using type-specific search techniques, enabling a new breed of multimedia applications

A practical guide to big data research in psychology.

Abstract: The massive volume of data that now covers a wide variety of human behaviors offers researchers in psychology an unprecedented opportunity to conduct innovative theory- and data-driven field research. This article is a practical guide to conducting big data research, covering data management, acquisition, processing, and analytics (including key supervised and unsupervised learning data mining methods). It is accompanied by walkthrough tutorials on data acquisition, text analysis with latent Dirichlet allocation topic modeling, and classification with support vector machines. Big data practitioners in academia, industry, and the community have built a comprehensive base of tools and knowledge that makes big data research accessible to researchers in a broad range of fields. However, big data research does require knowledge of software programming and a different analytical mindset. For those willing to acquire the requisite skills, innovative analyses of unexpected or previously untapped data sources can offer fresh ways to develop, test, and extend theories. When conducted with care and respect, big data research can become an essential complement to traditional research. (PsycINFO Database Record

Personal data manager systems and methods

Abstract: Methods and systems for facilitating the propagation of personal data are provided. Example embodiments provide a Personal Data Propagation Environment ("PDP environment"), which facilitates the propagation of personal data items between secure personal data stores and various consumers of the personal data items. In one embodiment, the PDP environment includes a personal data manager and a personal data subscriber. The personal data manager manages personal data items on a secure data store associated with a user computing device. The personal data manager provides access to personal data items stored on the secure data store in accordance with a personal data subscription associated with the personal data subscriber. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.