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What is an archaeological research infrastructure and why do we need it? Aims and challenges of ARIADNE

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What is an archaeological research infrastructure and why do we need it? Aims and challenges of ARIADNE

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Presentation by:
Edeltraud Aspöck, OREA (Institute for Rriental and European Archaeology)
and
Guntram Geser, Salzburg Research

Full-day session on archaeological infrastructures and services at the 18th Cultural Heritage and New Technologies (CHNT) conference

Vienna, Austria
11th -13th November 2013

Presentation by:
Edeltraud Aspöck, OREA (Institute for Rriental and European Archaeology)
and
Guntram Geser, Salzburg Research

Full-day session on archaeological infrastructures and services at the 18th Cultural Heritage and New Technologies (CHNT) conference

Vienna, Austria
11th -13th November 2013

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What is an archaeological research infrastructure and why do we need it? Aims and challenges of ARIADNE

  1. 1. ARIADNE is funded under the European Commission's Seventh Framework Programme What is an archaeological research infrastructure and why do we need it? Aims and challenges of ARIADNE Edeltraud Aspöck Guntram Geser
  2. 2. Content of talk •What is an e-infrastructure for research? •Why ARIADNE? •Challenges of data sharing
  3. 3. e-Infrastructures for research •Provide researchers with easy and controlled online access to –Data and information resources –Remote instruments –Collaboration tools •… across geographical, disciplinary and organizational boundaries
  4. 4. e-Infrastructures for research •Different focus / types –Data infrastructure –Distributed computing (Grid, Cloud) –Virtual research environment / community
  5. 5. ARIADNE (FP7-Infrastructures-2012-1-313193) •Runs 4 years (started 02/2013) •FP7 Instrument „Integrating Activity“ •Focus on archaeological datasets •Funding 6.5m € •Coordinators •Prof. Franco Niccolucci, University of Florence •Prof. Julian Richards, University of York •Website: www.ariadne-infrastructure.eu
  6. 6. Why ARIADNE? Community building •24 partners of 18 European countries •Open to other participants, e.g. –Transnational Access Programme –Special Interest Groups
  7. 7. Why ARIADNE? ADS: 20.000 grey literature reports, 1.200.000 records ARACHNE: 500.000+ images, 250.000 objects GALLICA: several thousand reports FASTI online: 12.000 reports Collaboration on data sharing eDNA: Dendrochrono- logy data (DCCD) •mobilize •integrate •make accessible (some examples) Your data SIGECweb: 270.000 records (archaeology)
  8. 8. ARIADNE overall goals… to overcome the fragmentation of archaeological data repositories and to foster a culture of data sharing and re-using
  9. 9. EC 2012 survey „Do you agree with the following statement: Generally speaking, there is NO access problem to research data in Europe?” European Commission, Online survey on scientific information in the digital age, 2012. Total survey participants: 1140. Germany: 422, France: 120, UK: 127, Italy: 95, NL: 39, Austria: 38, Belgium: 36, Greece: 27, …. (42 countries) 87% „Disagree“ or „Disagree strongly“
  10. 10. Why the „access problem“ •Behaviour of researchers contrary to what advocates of proper management and sharing of data would like them to do •Most re-useable data remains locked away –On personal computers –Portable storage carriers –Restricted access servers –Published with paper (i.e. supplemental material) –Only 6–8% in community archive/repository
  11. 11. Where do researchers store/archive data? PARSE.Insight survey 2009: 1202 respondents from different research domains and countries
  12. 12. Where do researchers store/archive data? • “Science” journal 2011 survey of peer reviewers: 1700 responses – international and multi-disciplinary • “Where do you archive most of the data generated in your lab or for your research?” Note: archived ≠ curated 50.2% in our lab 38.5% university server 7.6% community repository 3.2% “other” 0.5% not stored
  13. 13. Driver for change: Funding policies •High-level policies & initiatives –OECD, EC Communications, Research Data Alliance,… •National research funding agencies –Open Access mandates extended to data –Mandatory data management plans •Austria –Since 2013, Austrian Science Funds (FWF): open data mandate –But no national data repository for archaeology!
  14. 14. Open Data – criteria •Accessible –Online, not necessarily without registration •Reusable –not summarized data (i.e. figures, charts, etc.) canned in publications –state: raw, cleaned, normalized,… (accord. to practice) –open format (e.g. not PDF doc) •Openly licensed (e.g. CC-BY, if other no NonDerivative!) •For free – yes, but somebody has to pay to ensure sustainability of repositories
  15. 15. Word cloud of presentation titles archaeological data research developing ARIANDE infrastructure interoperability integration networks services archiving excavation frameworks visual/ization beyond crossing borders boundaries international administrative local media.REIFF DYAS DARIAH ADS SDI e-Depot IANUS INSPIRE linked data documenting extending ontologies concepts CIDOC CRM mapping database comparing recording publication management creation sensing European common Dutch Germany Greek Swedish humanities centre monuments sites OAIS support IT-guidelines component systems
  16. 16. Challenges /1 •Documentation practices and semantics –different methods –different languages –different concepts / semantics –different definitions of time periods, … How to integrate data from different countries so that they can be cross-searched? Related presentations: •T. Oikarinen •G. Mossakowski •M. Doerr / G. Hiebel •A. Masur / K. May
  17. 17. Challenges /2 •Data management & access –Heterogeneous data (different types) –Growing volumes –High quality data + metadata –Licensing –Open access How to manage data from project level to open access repositories? Related presentations: •F. Schäfer/ M. Trognitz (IANUS) •U. Jakobsson (SND) •H. Hollander (e- Depot)
  18. 18. Challenges /3 •E-infrastructure components and interoperability –Humanities and natural sciences –Text and visual data (images, 3D, video,…) –Local and remote sensing data –Big and Small (“long tail”) data... How to make „interoperable“ data of different domains, types, scales…? Related presentations: •M. Charno / J. Richards •C. Dallas / D. Gavrilis •A. Corns / R. Shaw •R. Scopigno / M.Dellepiane •P. Constantopoulos / C.Dallas •A. Volkmann
  19. 19. ARIADNE is a project funded by the European Commission under the Community’s Seventh Framework Programme, contract no. FP7-INFRASTRUCTURES-2012-1-313193. The views and opinions expressed in this presentation are the sole responsibility of the authors and do not necessarily reflect the views of the European Commission.

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