We present the Pantheon 1.0 dataset: a manually verified dataset of individuals that have transcended linguistic, temporal, and geographic boundaries. The Pantheon 1.0 dataset includes the 11,341 biographies present in more than 25 languages in Wikipedia and is enriched with: (i) manually verified demographic information (place and date of birth, gender) (ii) a taxonomy of occupations classifying each biography at three levels of aggregation and (iii) two measures of global popularity including the number of languages in which a biography is present in Wikipedia (L), and the Historical Popularity Index (HPI) a metric that combines information on L, time since birth, and page-views (2008–2013). We compare the Pantheon 1.0 dataset to data from the 2003 book, Human Accomplishments, and also to external measures of accomplishment in individual games and sports: Tennis, Swimming, Car Racing, and Chess. In all of these cases we find that measures of popularity (L and HPI) correlate highly with individual accomplishment, suggesting that measures of global popularity proxy the historical impact of individuals.

Languages vary enormously in global importance because of historical, demographic, political, and technological forces. However, beyond simple measures of population and economic power, there has been no rigorous quantitative way to define the global influence of languages. Here we use the structure of the networks connecting multilingual speakers and translated texts, as expressed in book translations, multiple language editions of Wikipedia, and Twitter, to provide a concept of language importance that goes beyond simple economic or demographic measures. We find that the structure of these three global language networks (GLNs) is centered on English as a global hub and around a handful of intermediate hub languages, which include Spanish, German, French, Russian, Portuguese, and Chinese. We validate the measure of a language's centrality in the three GLNs by showing that it exhibits a strong correlation with two independent measures of the number of famous people born in the countries associated with that language. These results suggest that the position of a language in the GLN contributes to the visibility of its speakers and the global popularity of the cultural content they produce.networks | languages | culture | digital humanities | fame

As the world becomes digital, we are in ever greater danger of losing business, scientific, artistic, cultural, and personal assets. The threat of such a digital dark age stems from the fact thatunlike physical records that may survive decades, centuries, or even longer without advanced planning-digital records will not survive without planning and diligence. Everything needed to keep digital records viable will become obsolete, including hardware, software, processes, and formats. Consequently, digital preservation environments are needed to ensure the ability to access valuable digital records decades from now and, more significantly, to ensure the interpretability of the records once accessed. We describe Preservation DataStores, an innovative storage architecture that facilitates robust and optimized preservation environments. It is a layered architecture that builds upon open standards, including Open Archival Information System, XAM (Extensible Access Method), and Object-based Storage Device. We also describe the integration of Preservation DataStores with existing file systems and archives and discuss some design and implementation issues. We are developing Preservation DataStores as an infrastructure component of the European Union CASPAR (Cultural, Artistic and Scientific knowledge for Preservation, Access and Retrieval) project, where it will be used to preserve scientific, cultural, and artistic data.

Purpose-The purpose of this paper is to describe the use of XML formatted data unit (XFDU) technology to implement OAIS-based information packaging in the CASPAR project. Design/methodology/approach-The paper outlines new tools and techniques in working with XFDU for the purpose of preserving complex digital information. Findings-The preservation of digital assets was facilitated by using the features of XFDU in the CASPAR project. Practical implications-The paper is of interest to those responsible for the archival or long term preservation of digital assets. Originality/value-The paper demonstrates new tools and techniques, which together provide an integrated system suitable for solving complex issues of preserving digital assets using information packaging.