Data Pilot Project Research Data Management Services and - PowerPoint PPT Presentation

Data Pilot Project Research Data Management Services and Infrastructures Hauptbibliothek DANIEL GLOOR UNIVERSITY OF ZURICH, MAIN LIBRARY

Is there a reproducibility crisis? Baker, M. (2016). 1,500 scientists lift the lid on reproducibility. Nature 533 : 452-454. Source: http://www.nature.com/news/1-500-scientists-lift-the-lid-on-reproducibility-1.19970 2 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

How can we face this crisis?  Good Research Data Management (RDM) ◦ ensures also data reusability and reliability 3 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

Research data lifecycle re-using citing question planning sharing publication design archiving collecting anonymizing analysis data combining describing managing interpreting Adapted from http://rdm.uva.nl/ 4 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

RDM Support – Who?  Need for support and services provided to the scientific community  Who?  University Libraries  IT Departements  Legal Services / Delegate for Data Protection  Research Offices  Intellectual Property Offices 5 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

RDM – UZH  Support, services and infrastructures at UZH  S3IT  «active» data / raw data  Main Library  ZORA (Zurich Open Repository and Archive)  What is missing?  General RDM support services incl. Data Management Plans  Data archive / long-term archiving solution 6 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

Data Pilot Project  Data Pilot Project (Aug 2016 – Dec 2017)  Evaluate models of RDM support/services and define requirements for pilot infrastructure  Main Library  Zentralbibliothek  S3IT  Synergies with the national SUK P-2 DLCM project (www.dlcm.ch) 7 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

Data Pilot Project Objectives (1)  RDM Support Models  Evaluate and categorize existing services at other institutions (incl. SWOT analysis)  Develop improved RDM support models according to the gathered requirements at UZH  bottom-up approach 8 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

Raw data, data sets, data S3IT capturing / analysis Infrastructure Discipline specific data repository -Data Pilot UZH UZH Data Archive -SUK P-2 DLCM Processed data, data publication Main Library ZORA Long-term preservation and curation 9 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

Data Pilot Project Objectives (2) – Data repository and interfaces  Basis for pilot RDM infrastructure implementation  Gather requirements of selected research units • Hydrology and Epidemiology (Main Library) • Digital Humanities (Zentralbibliothek)  Focus on «stable» data 10 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

Data Pilot Project Hydrology and Climate Unit :  Need for storing and archiving time series data (runoff measurements, incl. water chemistry, etc.)  Repository requirements examples  Access restrictions, embargos  Authorized sharing  Storing of raw data together with published data 11 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

Data Pilot Project To Do:  Defining (generic) metadata  Design and work out basis for simple user interfaces for data upload and metadata entry, access control, data publication  Implement FAIR principles  F indable, A ccessible, I nteroperable, R e-usable 12 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

Data Pilot Project Further considerations:  Legal aspects  Security, data protection, privacy  Open Data licenses  Data curation  Costs 13 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

Data Pilot Project Outcomes:  Proposal of RDM support/service models incl. business case, responsibilities and implementation at UZH  New requirements for RDM infrastructure 14 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2

Data Pilot Project Thank you for your attention! 15 INNOPOOL WORKSHOP REPRODUCIBLE RESEARCH: SESSION 2