Making Research Data Public: Why, What, and How. Fall 2016
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1 Making Research Data Public: Why, What, and How Fall 2016
2
3 Research Data Service (RDS) The Research Data Service provides the Illinois research community with exper:se, tools, and infrastructure to manage and steward research data. Knowledge around data policies, resources, archiving, & preserva;on Consulta;on for data management planning & implementa;on Workshops on data management, documenta;on, and data publishing Data Management Plan reviews and DOI min;ng services Solu;ons for public access to research data Centralized, private storage for ac;ve ( working ) data (with NCSA) visit: researchdataservice.illinois.edu or researchdata@library.illinois.edu
4 Exper?se Knowledge around data policies, tools, resources, archiving, and preserva;on Consulta;on and workshops for data management planning and implementa;on Tools Data Management Plan crea;on wizard (DMPTool.org) Infrastructure Illinois Data Bank (self- deposit ins;tu;onal data repository) hvp://databank.illinois.edu What do we do?
5 Workshop goals Explore the data sharing landscape and issues related to data deposit Learn basic assessment of repositories related to your discipline Understand the importance of data prepara;on for sharing and deposit Plan for deposit of your research data
6 Disciplinary Data Repositories GenBank (Gene;c Sequencing, 1982) ICPSR (Social Sciences, 1962) Mul;disciplinary Figshare (2011) Zenodo (2013) Ins;tu;onal Illinois Data Bank (UIUC, 2016) How do I find a repository? re3data.org
7 Considera;ons for choosing a repository Mandates Funding agency Publisher Sensi;vity/Privacy Student data (FERPA) Health informa;on (HIPAA) Patent (Patent Law) Audience or Users Scope Standard prac;ces in your discipline Fees
8 Evalua;ng a repository How do you know that a repository is good? Reliable? Won t disappear tomorrow (and if it does, what happens to your data?)? Follows disciplinary/data cura;on best prac;ces? Indicators of stability and disciplinary support or endorsement? Preserva;on services offered? Commitment to long- term preserva;on? Persistent Iden;fiers
9 Ac;vity 1: Exploring data repositories Data Project and Repository Features Comparison Tool worksheet hgp:// online directory of data repositories Step 1: Use hgp://service.re3data.org/browse/by- subject/ to select one data repository that might be appropriate for your current or upcoming research project. à Consider subject coverage and scope, and types of data/files accepted. Step 2: Using the Data Project and Repository Features Comparison Tool worksheet, and iden;fy at least three criteria to inves;gate, and complete the Repository column for each of your selected criteria. à Informa;on may be found in the repository s descrip;on in re3data.org repository descrip;on, and/or in the documenta;on and policies available on the repository s webpage. Bonus: Complete the My Project column for your selected criteria, and then complete the Repository Features Match Project Needs? checklists for these criteria.
10 Limita;ons? Benefits? What support is there for researchers? for depositors? for data users? Report & Discuss
11 Preparing your data What file types, formats, and sizes Check repository specifica;ons Specialized soiware needed to read files Include Proprietary and Open Source formats What metadata is required Access Restric;ons Length of ;me (embargo) Users Environmental controls
12 Ethical Considera;ons Human Subjects Ins;tu;onal Review Board (IRB) Privacy, confiden;ality (Informed Consent) Strip iden;fiable informa;on Decrease geographic granularity Generalize categories Top code And ask for help!
13 Intellectual Property, Copyright, and Licensing crea;vecommons.org Who owns and controls the data What are the PI s restric;ons on data? Is it yours to share? Are you using data from a third party? Are you working with an external party, par;cularly a commercial en;ty or industry partner? Credit: Michael Porter AGribu?on- NonCommercial- NoDerivs 2.0
14 Ac;vity 2 Begin comple;ng the deposit considera;ons form for a dataset you have in mind. This worksheet is designed to help you capture informa;on you know and help you think through topics. Not 100% for all domains, and not a decision tree.
15 Wrap Up Assess your project s data sharing needs, requirements, restric;ons. Iden?fy and evaluate suitable data sharing/ publica;on op;ons. Compare individual project needs with features of data sharing/publica;on op;ons, and select best op;on.
16 Open Lab Feel free to stay and keep working! We will be here to answer ques;ons.
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