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Learn about research data management, including data collection, organization, storage, retrieval, and preservation. Discover the benefits of managing and sharing your data and the responsibilities of researchers and research institutions. Find resources and tools to help you manage your data effectively.
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Research Data Management @ Queen’s Jeff Moon Data Librarian & Academic Director, Queen’s Research Data Centre
The Data Life Cycle Source: http://www.ucl.ac.uk/ich/research-ich/mrc-cech/images/data/life-cycle/research-data-life-cycle.jpg?hires
What is ‘Research Data”? Numeric Video Images Sound Text & more… That which is collected, observed, or created in a digital form, for purposes of analysing to produce original research results. http://www.ed.ac.uk/schools-departments/information-services/services/research-support/data-library/data-repository/definitions http://www.channelprosmb.com/imagelib/contentitem/26065/39e706a46ad531be--6da92a71-132cec09cc9-64bf684136669.jpg http://backyardskeptics.com/wordpress/wp-content/uploads/2012/04/video.png http://icons.iconarchive.com/icons/iconhive/multimedia/256/sound-icon.png http://www.iconarchive.com/show/rumax-icons-by-toma4025/camera-icon.html http://0.tqn.com/w/experts/Italian-Language-1584/2010/09/Image-Historical-Text.jpg
Research Data Management Research Data Management: encompasses the entire data life cycle, and includes data collection, organization, storage, retrieval, and preservation over time.
Why manage & share your data? • Promotes higher quality research and peer review • Opens the door to further research • Demonstrates effective stewardship of publicly- funded data • Ensures long-term preservation of and access to data • Builds in procedures to ensure anonymity/privacy
Other factors to consider… • Some scientific publications require that data be available for the scientific community before the article is published • A growing number of funding agencies require that data be deposited in a public archive
Tri-Agency Statement of Principles on Digital Data Management “Data should be collected and stored throughout the research project using software and formats that ensure secure storage, and enable preservation of and access to the data well beyond the duration of the research project” “Data management planning is necessary at all stages of the research project lifecycle, from design and inception to completion” “Research data resulting from agency funding should normally be preserved in a publicly accessible, secure and curated repository or other platform for discovery and reuse by others” “Research data must be managed in agreement with all commercial, legal and ethical obligations” “Data should be managed in accordance with the most appropriate and relevant standards and best practices, while recognizing that these are in a state of rapid evolution” http://www.science.gc.ca/eic/site/063.nsf/eng/h_83F7624E.html?OpenDocument
Tri-Agency Statement of Principles on Digital Data Management • Responsibilities of RESEARCHERSinclude: • incorporating data management best practices into their research; • developing data management plans to guide the responsible collection, formatting, preservation and sharing of their data throughout the entire lifecycle of a research project and beyond; • following the requirements of applicable institutional and/or funding agency policies and professional or disciplinary standards; • acknowledging and citing datasets that contribute to their research; and • staying abreast of standards and expectations of their disciplinary community. http://www.science.gc.ca/eic/site/063.nsf/eng/h_83F7624E.html?OpenDocument
Tri-Agency Statement of Principles on Digital Data Management • Responsibilities of RESEARCH INSTITUTIONS include: • providing an environment that enables world class data stewardship practices; • providing access to data repositories that securely preserve, curate & provide access to research data; • ensuring compliance with ethical, legal, commercial, and Tri-Agency requirements; • providing guidance on best practices and development of data management plans; • recognizing data as an important research output • promoting the importance of data management • developing their own data management policies, in accordance with policies, principles, laws, and best practices http://www.science.gc.ca/eic/site/063.nsf/eng/h_83F7624E.html?OpenDocument
Four key steps to good data management http://www.lib.cam.ac.uk/dataman/pages/leaflet.pdf
http://www.lib.cam.ac.uk/dataman/pages/leaflet.pdf http://www.clipartbest.com/cliparts/LTK/deM/LTKdeMjGc.png
OK, but where do I go for more information? • Go to the Queen’s University Library • Research Data Management web page at: • http://guides.library.queensu.ca/rdm
Research Data Management http://guides.library.queensu.ca/rdm
Research Data Management http://guides.library.queensu.ca/rdm Portage DMP Assistant
Portage DMP Assistant The DMPASSISTANTis a web-based, bilingual, data management planning tool made available to all Canadian researchers through the Portage network. • Walks you step-by-stepthrough key questions about data management. • Provides guidance and examples at each step. • You only answer questions relevant to your research. • DMPs are living documents – you are encouraged to review & revise throughout your project Poweredby Portage DMPExpert Group & & Libraries http://portagenetwork.cahttp://reseauportage.ca
So how does the DMP Assistant help? The DMP Assistant walks you through a checklist of questions • Data Collection • Documentation & Metadata • Storage & backup • Preservation • Data Sharing & Reuse • Responsibilities & Resources • Ethics & Legal Compliance And provides guidance along the way
Turn to the Portage Network web page for more information about the shared stewardship of research data…
Queen’s University Library Research Data Management Service • We can help you with: • Planning for data management • data management plans & grant applications
Queen’s University Library Research Data Management Service • We can help you with: • Planning for data management • data management plans & grant applications • Preparing your data • coding, formatting, anonymizing, and more • Documenting your data • describing your data so others can understand and use it • Archiving your data • finding an appropriate repository or archive • Making your data discoverable • promoting open access, indexing, assigning DOI’s
Don’t underestimate the benefits of making your data ‘discoverable’… https://www.visitgrandforks.com/uploads/items1/item1084/p17ap6mrab187817h9j671j0n180s6.jpg
Before RDM: Have you experienced this? Researcher-to-researcher Could you please send me your data? Could you please send me your data? Could you please send me your data? Could you please send me your data? Could you please send me your data? Researcher Could you please send me your data? Could you please send me your data? Could you please send me your data? http://www.epifaniasolar.cl/images/member1.jpg http://www.meditation-research.org.uk/img/male_icon.png http://s435.photobucket.com/user/tippythomas/media/contract-icon.png.html http://www.theinkprosblog.com/wp-content/uploads/2013/07/main.exclamation-point.jpg
After RDM: link to archive! Researcher-to-Archive Researcher License to share data http://www.epifaniasolar.cl/images/member1.jpg http://www.meditation-research.org.uk/img/male_icon.png http://s435.photobucket.com/user/tippythomas/media/contract-icon.png.html
Accessing Research Data: After RDM Researcher-to-Archive DOI Researcher DOI Digital Object Identifier … a web link http://www.epifaniasolar.cl/images/member1.jpg http://www.meditation-research.org.uk/img/male_icon.png http://s435.photobucket.com/user/tippythomas/media/contract-icon.png.html http://rebeccascritchfield.files.wordpress.com/2014/03/happy-47083_6401.png
Research Data Deposited @ Queen’s http://guides.library.queensu.ca/rdm QUL Research Data Archive
Examples of archived data http://guides.library.queensu.ca/rdm QUL Research Data Archive
Examples of archived data http://guides.library.queensu.ca/rdm QUL Research Data Archive
Examples of archived data http://guides.library.queensu.ca/rdm QUL Research Data Archive AND LOTS MORE!
Archives/Repositories Queen’s Institutional Repository (DSpace software) Scholars Portal Data Archiving Platform (Harvard Dataverse software) Scholars Portal Data Discovery/Exploration Portal (Nesstarsoftware) • Or other discipline-based repository…
Recap: Benefits of Research Data Management: • ensure long-term preservation of data for future researchers • meet grant requirements and/or produce a more competitive grant application • increase the impact and visibility of your research • encourage discovery and use of existing data to explore new research questions • make sure your data are accurate, complete, authentic, and reliable, and reusable • ensure compliance with ethics and privacy policies http://www.computerworld.in/sites/default/files/how-to/2012/07/Manage-data.jpg
If you have, or will be collecting data, CONTACT US. We can help you develop and implement your data management plan.
Contact information Francine Berish Geospatial Data Librarian francine.berish@queensu.ca Ext. 36952 Courtney Earl Matthews Head, Open Scholarship Services courtney.earl.matthews@queensu.ca Ext. 32836 AlexCooper Data Services Coordinator coopera@queensu.ca Ext. 77481