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HSR Vol. 29 (2004) No. 2
CONTENTS
FOCUS: HISTORICAL INFORMATION SCIENCE Onno Boonstra, Leen Breure and Peter Doorn Past, Present and Future of Historical Information Science. p.4
1. Introduction, p. 4.
2. Historical Information Science, p. 6; 2.1. E-science, e-humanities, e-history, p. 6; 2.1.1. E-science and e-Social Science, p. 7; 2.1.2. E-humanities or humanities computing?, p. 8; 2.1.3. E-history, ‘history and computing’ and ‘historical information science’, p. 13; 2.2. The life cycle of historical information, p. 17.
3. The Past, p. 19; 3.1. The beginning of History and Computing, p. 19; 3.2. Take off: Manfred Thaller’s CLIO, p. 21; 3.3. Getting organised, p. 22; 3.3.1. The Association for History and Computing, p. 22; 3.3.2. As an example: alfa-informatica in the Netherlands, p. 23; 3.4. Ideas, claims and convictions, p. 23; 3.4.1. Plain IT, p. 25; 3.4.2 Enhanced IT, p. 28; 3.5. Main topics in historical information science, p. 32; 3.5.1. Databases and texts: From documents to knowledge, p. 32; 3.5.2. Statistical methods in historical research, p. 57; 3.5.3. Images: from creation to visualisation, p. 68; 3.6. Final remarks, p. 84.
4. The Present, p. 85; 4.1. Conclusions from the Past, p. 85; 4.2. The lost topics, p. 86; 4.3. A failing infrastructure, p. 88; 4.4. The failing relation between History and Computing and Information Science, p. 88.
5. The Future, p. 89; 5.1. Conclusions from the present: A paradox, p. 89; 5.2. Relevant research lines, p. 91; 5.3. A future infrastructure for historical information science: Resolving the paradox, p. 94; 5.3.1. Stakeholder communities, p. 94; 5.3.2. Patterns of co-operation, p. 95; 5.3.3. Project models, p. 96; 5.4. Is that all there is?, p. 98.
Appendix: Possible themes for historical information research, p. 100; 1. Creation, p. 100; 2. Enrichment, p. 102; 3. Editing, p. 104; 4. Retrieval, p. 105; 5. Analysis, p. 108; 6. Presentation, p. 111; 7. Central themes, p. 112. References, p. 114. Acknowledgements, p. 131.
METHODS
Maximilian C. Forte Long-term Field Research in Anthropology. p. 133
Dirk Ducar Computergestützte Analyse qualitativer Daten. p. 142
CLIOMETRICS
Claude Diebolt & Magali Jaoul Is Education the Cause for Iberian Economic Growth? A Study in Econometric History. p. 147
DATA & ARCHIVES
Rainer Metz & Alexander Berg Datenbanken der Historischen Statistik im ZHSF. p. 160
Neue Studien im ZHSF (Gabriele Franzmann), p. 172.
HUMANITIES COMPUTING EDV und Epigraphik: Inventarisation und Dokumentation jüdischer Friedhöfe mit TUSTEP (Thomas Kollatz), p. 180.
FORTHCOMING EVENTS Fifth European Social Science History Conference. p. 189
PAST EVENTS „Im Netz des Positivismus?“ Vom Nutzen und Nachteil des Internets für die historische Erkenntnis (Margret Friedrich), p. 245; ZHSF-Workshop „Daten und Datenbanken der Historischen Statistik“ (Volker Müller-Benedict), p. 249.
MISCELLANEOUS NOTES European Political Elites in Comparison: The Long Road to Convergence (EURELITE Network), p. 252; Economics & Human Biology, p. 258.
PUBLICATIONS: EXTRACTS, REVIEWS, NOTICES K.-J. Lorenzen-Schmidt (Hg.): Quantität und Qualität. Möglichkeiten und Grenzen historisch-statistischer Methoden für die Analyse vergangener Gesellschaften. Festschrift für Ingwer E. Momsen (Matthias Manke), p. 264.