scholarly journals National bibliographic data for studies of social sciences and humanities: towards interoperability

2020 ◽  
Vol 33 ◽  
pp. 02002
Author(s):  
Linda Sīle ◽  
Peter Aspeslagh ◽  
Joshua Eykens ◽  
Raf Guns

National bibliographic data bring numerous opportunities for science studies, especially when integrating data from multiple data sources. The use of multiple data sources, however, is hindered by the lack of interoperability. Although progress has been made in developing persistent international identifiers such as ISBN, DOI, and GRID, the interoperability between different data sources still poses challenges at several levels. We reflect upon these challenges with a focus on conceptual and methodological aspects with respect to the Academic Book Publisher Register (ABP), a comprehensive international list of publishers that is created by integrating multiple publisher lists used in different countries. This register, currently in development, is primarily meant to be used in research evaluation settings. At the same time it is potentially a valuable source of data for studies focused on publishing in different knowledge domains. In discussing the challenges encountered while making the ABP, we focus on two main issues: delineation of publishers and establishing connection between local lists and the ABP. In this paper we discuss possible ways to overcome these obstacles and draw conclusions in relation to other data sources that can be of use in research within the social sciences and humanities.

Author(s):  
Jean Archambeault ◽  
Catalin Bidian ◽  
Max Evans

The cross-disciplinary future of knowledge domainsmapping requires the fusion of multiple data sources,methodologies, and theories, shifting from descriptiveto predictive models. This paper explores some of theNational Research Council Canada challenges inusing knowledge domain mapping to better forecastthe future and advances a call for action.L’avenir interdisciplinaire de la cartographie desdomaines de connaissances nécessite la fusion demultiples sources de données, méthodes et théories,et le passage de modèles descriptifs à des modèlesprédictifs. Cette présentation explore certains desdéfis que rencontre le Conseil national de recherchesdu Canada dans l’utilisation de la cartographie desdomaines de connaissances pour mieux prévoirl’avenir, et propose un appel à l’action.


Author(s):  
Lijing Wang ◽  
Aniruddha Adiga ◽  
Srinivasan Venkatramanan ◽  
Jiangzhuo Chen ◽  
Bryan Lewis ◽  
...  

Omega ◽  
2021 ◽  
pp. 102479
Author(s):  
Zhongbao Zhou ◽  
Meng Gao ◽  
Helu Xiao ◽  
Rui Wang ◽  
Wenbin Liu

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Jin Chen ◽  
Tianyuan Chen ◽  
Yifei Song ◽  
Bin Hao ◽  
Ling Ma

AbstractPrior literature emphasizes the distinct roles of differently affiliated venture capitalists (VCs) in nurturing innovation and entrepreneurship. Although China has become the second largest VC market in the world, the unavailability of high-quality datasets on VC affiliation in China’s market hinders such research efforts. To fill up this important gap, we compiled a new panel dataset of VC affiliation in China’s market from multiple data sources. Specifically, we drew on a list of 6,553 VCs that have invested in China between 2000 and 2016 from CVSource database, collected VC’s shareholder information from public sources, and developed a multi-stage procedure to label each VC as the following types: GVC (public agency-affiliated, state-owned enterprise-affiliated), CVC (corporate VC), IVC (independent VC), BVC (bank-affiliated VC), FVC (financial/non-bank-affiliated VC), UVC (university endowment/spin-out unit), and PenVC (pension-affiliated VC). We also denoted whether a VC has foreign background. This dataset helps researchers conduct more nuanced investigations into the investment behaviors of different VCs and their distinct impacts on innovation and entrepreneurship in China’s context.


Sign in / Sign up

Export Citation Format

Share Document