Introduction to Research Data Management Services, January 2013 Gap Analysis

Introduction to Research Data Management Services, January 2013 Gap Analysis Original undertaken in 2008 and updated in 2011 Research Data Strategy Working Group (now called “Research Data Canada”) Examined the gaps between ideal state and current state across several indicators.

Introduction to Research Data Management Services, January 2013 Basic Research Data Lifecycle

Introduction to Research Data Management Services, January 2013 Policies Ideal State: Canadian organizations have coherent and cohesive policies that govern the management of data across disciplines. Data Production Data Dissemination Long-term Data Management Discovery and Re-purposing In limited cases e.g International Polar Year (IPY) Yes, but sometimes policies contradict each other e.g. ethics and privacy policies vs. data sharing policies In limited cases e.g. IPY, SSHRC (but not enforced), CIHR (for selected types of data), Some provincial and federal agencies *NOT THE UNIVERSITIES! In limited cases e.g. IPY, funding agencies require that researchers retain and share data if requested by others.

Introduction to Research Data Management Services, January 2013 Funding Ideal State: Together, the range of funding mechanism cover costs throughout the data lifecycle, including the preservation of research data. Data Production Data Dissemination Long-term Data Management Discovery and Re-purposing Yes CIHR, NSERC, SSHRC, CFI and some other research funding sources all support data production In limited cases CIHR, NSERC, SSHRC, CFI provide funding for disseminating data In limited cases Federal government and universities provide funding for disciplinary data repositories in some fields In limited cases Access services part of disciplinary repositories, but often fee-based services

Introduction to Research Data Management Services, January 2013 Roles and Responsibilities Ideal state: Each stakeholder in the data lifecycle has a distinct set of responsibilities, and works together to pursue higher-level stewardship goals; and Canada has a national entity serving as a focal point to coordinate data management and stewardship activities across the country. Data Production Data Dissemination Long-term Data Management Discovery and Re-purposing Research teams (principle investigators) Research teams (data must be retained and shared for 5 years after completion of project) In some disciplines -government agencies, universities and research communities Very limited -Some government agencies, universities and research communities

Introduction to Research Data Management Services, January 2013 Data Repositories Ideal State: Canada has a comprehensive network of trusted and interoperable data repositories. Data Production Data Disseminati on Long-term Data Management Discovery and Re- purposing Short term repositories or management solutions to assist with data analysis Limited e.g. Data Liberation Initiative (DLI) Limited NRC (CISTI), LAC, Scholars Portal, U Alberta working on TDRs Discipline-based repositories have some preservation aspects Very limited Discipline based repositories

Introduction to Research Data Management Services, January 2013 Standards Ideal state: There is widespread adherence to standards throughout the data lifecycle, including metadata standards. Data Production Data Dissemination Long-term Data Management Discovery and Re-purposing Varying levels of adherence to standards Discipline-based standards Variable- highly discipline dependent e.g. DDI in social science, Variable- regular use in large data centres and ad hoc implementation in other cases XML is commonly used in social sciences

Introduction to Research Data Management Services, January 2013 Skills and Training Ideal state: There is widespread adherence to standards throughout the data lifecycle, including metadata standards. Data Production Data Dissemination Long-term Data Management Discovery and Re-purposing YesLimited e.g.CNC CODATA, workshops for researchers Very limited- a few data sciences employed to support researchers Very limited e.E DLI Training Program

Introduction to Research Data Management Services, January 2013 Rewards and Recognition Ideal state: Reward systems for researchers widely recognize contributions to research data management. Data Production Data Dissemination Long-term Data Management Discovery and Re- purposing Built in incentives linked to the successful undertaking of the research project Some disincentives for data sharing at universities and funding agencies (data about human subjects) Very limited Some research project (IPY), funding agencies (CIHR) and journals require deposit of data into data repositories. Very limited Some informal recognition within discpline

Introduction to Research Data Management Services, January 2013 Research and Development Ideal state: Canada has a coordinated approach to R&D activities in support of data stewardship needs. Data Production Data Dissemination Long-term Data Management Discovery and Re-purposing Significant research and development support in order to facilitate data use and analysis. UnknownVery limited Some research and development at Canadian institutions Unknown

Introduction to Research Data Management Services, January 2013 Research and Development Ideal state: Canada has a coordinated approach to R&D activities in support of data stewardship needs. Data Production Data Dissemination Long-term Data Management Discovery and Re-purposing Significant research and development support in order to facilitate data use and analysis. UnknownVery limited Some research and development at Canadian institutions Unknown

Introduction to Research Data Management Services, January 2013 Gap Analysis

Introduction to Research Data Management Services, January 2013 Current Levels of Support Across the Research Data Lifecycle Project-based