Faculty of Humanities and Social Sciences Department of

2 Predictions are an important part of every decision-making and planning process. Information sciences

3 “…the only serious way to think about the future is to have a

4 Science is a very structured human activity whose progress is meticolously recorded Bibliometric

5 Output of the Department of Information Sciences: Educational – study programs, courses, students…

Co-word analysis 6 Co-word analysis is a bibliometric technique that examines co-occurrence of keywords.

Data harvesting and proccessing 7 Authors 35 Articles 376 Unique keywords / Tokens Data

Further research and actions 11 An elaborate qualitative analysis of our results, including external

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Faculty of Humanities and Social Sciences Department of Information Sciences Zagreb, 2009 -11 -06 TELLING THE FUTURE OF INFORMATION SCIENCES: Co-Word Analysis of Keywords in Scientific Literature Produced at the Department of Information Sciences in Zagreb INFuture 2009 Siniša Bosanac, Marija Matešić, Nino Tolić

2 Predictions are an important part of every decision-making and planning process. Information sciences are a very dynamic scientific field and would require fast and efficient methods for mapping and predicting its development. The aim was to establish methods for data collection and processing as a first step of predicting the future of information sciences.

3 “…the only serious way to think about the future is to have a clear idea, empirically grounded, of our present, and of our past—particularly of our recent past. ” Manuel Castells, Internet Galaxy, 2003

4 Science is a very structured human activity whose progress is meticolously recorded Bibliometric techniques are used to provide the empirical data required for qualitative analyses.

5 Output of the Department of Information Sciences: Educational – study programs, courses, students… Scientific – research projects, scientific literature… Establishing methods for data collection and processing

Co-word analysis 6 Co-word analysis is a bibliometric technique that examines co-occurrence of keywords. .

Data harvesting and proccessing 7 Authors 35 Articles 376 Unique keywords / Tokens Data processing N = 689 N = 1136 Lemmatization Normalization Time period Tools 1995 - 2009 Bibexcel Pajek

1995 - 2009 8

1995 – 2002 9

2002 – 2009 10

Further research and actions 11 An elaborate qualitative analysis of our results, including external factors. Expanding the sample, making the content descriptors more accurate, increasing the resolution of results representation. Developing automatised methods and tools to make the analysis quicker and more efficient. Influencing the decision- and policy-makers to make use of the results provided.

12 Thank you for your attention! Q&A?