services, and the current RDM services and tools provided, we conducted an international survey involving RDM service librarians around the world who worked in a variety of organizational types. We also probed into the knowledge and skills that respondents deem crucial for RDM services, as well as their vision for RDM roles in the future. Our primary research questions (RQs) were as follows:
RQ1. What is the state of current practice of RDM services in libraries?
RQ2. What current role do librarians play in providing RDM services?
RQ3. What specific knowledge and
Machine Learning Tools and Techniques Burlington, Massachusetts: Morgan Kaufmann.
Witten I. H. Frank E. Hall M. A. & Pal C. J. 2016 Data Mining: Practical Machine Learning Tools and Techniques Burlington, Massachusetts Morgan Kaufmann
Xiao, L.,& Qi, J. (2013). On the Evaluation System of the Social Influence of Enterprise Public Opinion on Internet Based on Microblog. Journal of Intelligence 32(5), 5-9.
Xiao L. & Qi J. 2013 On the Evaluation System of the Social Influence of Enterprise Public Opinion on Internet Based on
Weijia Xu, Amit Gupta, Pankaj Jaiswal, Crispin Taylor, Patti Lockhart and Jennifer Regala
scientific discovery, the number of new scientific publications continues to rise accordingly. To keep up with the constant influx and volume of new information, automatically analyzing these growing corpora of technical documents is a natural solution. Therefore, there is a pressing need to develop computational methods and tools that can enrich the information content of digital publications, improve its accessibility and utility, and facilitate the readers’ understanding by creating links between journal articles and relevant database entities during the article
important efforts have been made to streamline text mining workflows by providing a library of natural language processing (NLP) tools (e.g., stemmers, parsers, and named entity recognizers) that can be connected together in a pipeline Manning, Surdeanu, Bauer, Finkel, Bethard, McClosky, D., 2014 ; Savova, Masanz, Ogren, Zheng, Sohn, Kipper-Schuler, Chute, 2010 ; Batista-Navarro, Carter, Ananiadou, 2016 ; Clarke, Srikumar, Sammons, Roth, 2012 ). In addition, there are valuable machine learning packages that provide machine learning algorithms in a user-friendly manner
Beth A. Plale, Eleanor Dickson, Inna Kouper, Samitha Harshani Liyanage, Yu Ma, Robert H. McDonald, John A. Walsh and Sachith Withana
compliance is an issue (e.g., Institutional Review Boards), the options for making restricted data available are more limited as shown in Figure 1 . In each of the three options depicted in the figure, an analyst is assumed to interact with digitized data through software tools. These tools may be as simple as a spreadsheet or a PDF reader or as complex as a deep learning algorithm.
Forms of data availability on the spectrum between fully open access and fully hidden.
The first form of data availability makes partial information available, labeled as
Digital Humanities (DH) is a buzzword that can be difficult to define. DH is “a multidisciplinary field, undertaking research at the intersection of digital technologies and humanities” ( Warwick, C., 2016 ). DH aims to establish applications and models. It is not only a new type of research method that uses information technologies as tools to build new applications and models for studying the humanities but also contributes to the development of computer science. Meanwhile, it also studies how information technologies exert influence on
Eric Zheng, Yong Tan, Paulo Goes, Ramnath Chellappa, D.J. Wu, Michael Shaw, Olivia Sheng and Alok Gupta
invite Yong Tan to help answer the question first.
Idea 1: Integration of machine learning and econometrics will be of great value
Actually, I have been talking about this topic many times from the methodological point of view. However, this time I would like to start with a disclaimer that methodology itself is just a tool. We want to advance the tool in order to solve more interesting business problems. The objective of using econometrics is to find out the causal relationship of data, which is our main purpose. On the other hand, from
. Publications are the most important output indicator in science. Scientometric and bibliometric techniques are useful tools for evaluating and comparing researchers, research institutes, and countries and also for mapping the growth of any research field ( Maheswaran, Kumar, & Sridharan, 2008 ). While several bibliometric studies on exploring collaborative research trends in different fields have been published, there have been very few bibliometric studies that deal wtth exploring and analyzing research publication trends in project management. These studies mostly provide
Liang Hong, Mengqi Luo, Ruixue Wang, Peixin Lu, Wei Lu and Long Lu
2.5 Hospital information system (HIS) and its evolution
Technology for Big Data storage and processing like the Cassandra database has been applied; the main characteristic of this tool is that it can accommodate about two million columns in one row, making it more convenient to deal with large volumes of data ( Kyoungyoung Jee & Gang Hoon Kim, 2013 ). In Big Data, including those in health care, one of the most popular processing tools Hadoop, created by Apache, uses the concept of distribution to handle tremendous volumes of data (Asante
size of the device’s screen. Analyzing users’ cross-device search behavior can help users interact more effectively with online information resources in a multi-device environment. In addition, machine learning tools and methods have been widely used in a variety of industries. Digital libraries should also actively explore the application of machine learning in work and research. This helps improve digital library services and reuse user log data.
However, the existing research on cross-device transition mainly focuses on general search engines and their users