The development of new information and communication technologies (ICT) has affected societies and economies worldwide. Their impact on the research and development (R&D) system must be considered as particularly important, as R&D is one of the primary sources of inventions and technical progress and is therefore a major motor of economic growth. The amount of data accessible to researchers in public and private R&D organisations and the opportunities for researchers to communicate has been increased by the Internet to an extent that has few parallels in history.
- It has become possible to bridge large distances to collect primary data and processed information from remote instruments and storage resources.
- The contents of entire libraries, representing the research results of centuries of intense scientific work, are now only a few mouse-clicks away. Statistical data can be retrieved from on-line databases and pasted into spreadsheets, and the onerous and fault-prone task of re-typing column after column of illegible data is a thing of the past.
- Various forms of communication, from the informal exchange of notes to the formalised review process of renowned journals, can now be carried out without having to exchange a single sheet of paper.
- Though project partners may be located in countries around the globe, communication and collaboration are ensured with few, seldom insurmountable, difficulties. At the current state of development, we must acknowledge a major shortage of empirical information on the significance of the Internet and its impact on national R&D systems. This shortage of empirical information led to the production of this research project on the Internet for R&D which aims to find valid, reliable, meaningful, and feasible indicators in order to measure the use of the Internet within R&D and to investigate the significance and the impact of the net on R&D at the current point in time.
Research approach:
Research was focused on the development of indicators to quantify the use of the Internet in R&D and the effects of this. It included a detailed literature review which evaluated the scientific literature, as well as policy and statistical documents. Subsequently an indicator system was developed and "tested" by means of pilot surveys in different European countries. The experiences and results of the pilot surveys were used to improve the indicator system and to undertake a first benchmarking of European countries regarding the Internet for R&D. The indicators can be attributed to three broad sub-topics:
- Readiness for computerized and networked science covers indicators on the computer and network infrastructure in science and the computer skills and IT awareness of scientists. Capable computers and networks with sufficient transmission capacities represent the technical preconditions for modern science. Computer skills and an awareness of the capacities of IT for knowledge production are other, somewhat less strict prerequisites.
- The Use of Internet tools and applications section includes indicators on a variety of tasks in science for which computer networks are employed. Internet-based applications have become integrated into such diverse activities as data collection and data analysis, information retrieval, communication, collaboration and publishing. Some of the applications are especially useful in a specific phase of a research project, i.e. during planning and definition, implementation or dissemination, whereas others are used during the entire duration of a project.
- Indicators on the Impact of the Internet are used to assess the production of new knowledge which may be considered as the main aim of science. We include indicators that cover two outcomes of scientific work, i.e. publications and patents. Furthermore, scientific collaborations can be affected by the use of Internet applications. Therefore we also include indicators on the occurrence of R&D collaborations and the size of collaboration networks. Readiness-related and use-related variables can be regressed on these outcome variables in causal analyses in order to evaluate the impact of the Internet on science. This, however, was not the task of the SIBIS project.