Analysing Scholarly Communication Metadata of Computer Science Events
| Analysing Scholarly Communication Metadata of Computer Science Events | |
|---|---|
Analysing Scholarly Communication Metadata of Computer Science Events
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| Bibliographical Metadata | |
| Keywords: | Scientific Events, Scholarly Communication, Semantic Publishing, Metadata Analysis |
| Year: | 2017 |
| Authors: | Said Fathalla, Sahar Vahdati, Christoph Lange, Sören Auer |
| Venue | TPDL |
| Content Metadata | |
| Problem: | No data available now. |
| Approach: | No data available now. |
| Implementation: | No data available now. |
| Evaluation: | No data available now. |
Abstract
Over the past 30 years, we have observed the impact of the ubiquitous availability of the Internet, email, and web-based services on scholarly communication. The preparation of manuscripts as well as the organization of conferences, from submission to peer review to publication, have become considerably easier and e�cient. A key question now is what were the measurable effects on scholarly communication in computer science? Of particular interest are the following questions: Did the number of submissions to conferences increase? How did the selection processes change? Is there a proliferation of publications? We shed light on some of these questions by analyzing comprehensive scholarly communication metadata from a large number of computer science conferences of the last 30 years. Our transferable analysis methodology is based on descriptive statistics analysis as well as exploratory data analysis and uses crowd-sourced, semantically represented scholarly communication metadata from OpenResearch.org.
Conclusion
In summary, we made the following observations: With the number of submissions to the top conferences having tripled on average in the last three decades, acceptance rates are going down slightly. Most of those conferences that are A- or A*-rated today have a long continuity. In summary, we made the following observations: With the number of submissions to the top conferences having tripled on average in the last three decades, acceptance rates are going down slightly. Most of those conferences that are A- or A*-rated today have a long continuity. Geographical distribution is not generally relevant; some good conferences take place in the same location; others cycle between continents. Good conferences always take place around the same time of the year. This might mean that the community got used to them being important events. Some topics have attracted increasing interest recently e.g., database topics thanks to the `big data' trend. This might be confirmed by further investigations into more recent, emerging events in such fields.
Future work
In further research, we aim to expand the analysis to other fields of science and to smaller events. Also, it is interesting to assess the impact of digitisation with regard to further scholarly communication means, such as journals (which are more important in fields other than computer science), workshops, funding calls and proposal applications as well as awards. Although large parts of our analysis methodology are already automated, we plan to further optimise the process so that analysis can be almost instantly generated from the OpenResearch data basis.
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