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Data Management Planning for Engineers
 

Data Management Planning for Engineers

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DMP Workshop for UVa Engineers

DMP Workshop for UVa Engineers

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  • If have journal article, have record of what you did stored in journals,..But the data underlying the results are really important,funders careColleagues – potential collaboratorsInstitutions (not shown here)Tenure committees more in the future.You: need to care you might need to go back to it in a few years… need good description.Future scientists – potentially use your data to discover important things. Need to be thinking about the future. (providing data for them)Slide from Carly Strasser http://www.slideshare.net/carlystrasser
  • In addition to addressing the issue of public access to scientific publications, the memorandum requires that agencies start to address the need to improve upon the management and sharing of scientific data produced with Federal funding. Strengthening these policies will promote entrepreneurship and jobs growth in addition to driving scientific progress. Also requires researchers to better account for and manage dataDATA: OMB circular A-110:“data” = digital recorded factual material commonly accepted in the scientific community as necessary to validate research findingsincluding data sets used to support scholarly publications, but does not include laboratory notebooks, preliminary analyses, drafts of scientific papers, plans for future research, peer review reports, communications with colleagues, or physical objects, such as laboratory specimens
  • Read calls for proposals carefully and ask program director about specific data management requirements. Build time into your proposal development to formulate a data management plan!Private & public – in the US, UK and other countriesOther agencies require sharing, but do not explicitly require a DMP as part of a proposal – NASA, NEH access & preservationNEH Sustainability of project deliverables and datasets – long term preservationDissemination – sharingNew NSF as of Jan. 2013 – Bio Sketch can include products of research
  • The rest of this talk will focus on the Data Management Plan requirements for the NSFHas been in the Grant Policy Manual since 2002.Even though this “sharing” requirement was in the Admin Guide, there had been little if any enforcement. There was only a “check box” in the Fast Lane system.
  • Types: experimental, observational, raw or derived, physical collections, models, simulations, curriculum materials, software etc.How will data be collected?Are there tools or software needed to create/process/visualize the data?SciDaC Tip: Describe in general any descriptive or analytical statistics that will run on the data. ORCould include data generated by computer, data collected from sensors or instruments, images, audio files, video files, reports, surveys, patient records, and or other.Qualityassurance & quality control measuresSecurity: version control, backing upWho will be responsible for data management during/after project?
  • Data documentation (metadata) explains:How data was createdWhat the data meanWhat the content & structure isWhat manipulations have taken placeIt ensures data understanding in the long-termData documentation includes information on:The ProjectData Collection MethodsStructure of the data filesData sources usedAt the data-level, information on:Labels and descriptions for variables & recordsCodes and classificationsDerived data algorithmsWhat metadata are needed to make the data meaningful?How will you create or capture these metadata? Why have you chosen particular standards and approaches for metadata?
  • Embargo period:Does the original data collector/creator/principal investigator retain the right to use the data before opening it up to wider use?Are you under any obligationto share data? What is the process for gaining access to the data? How should your data be cited?Question we have been asking…. Who owns the data you collect during your research grant?See SciDaC guidelines….. Data Rights and Responsibilities GuidanceOn our web pageCover copyright, licensing if required.Who owns the copyrightand/or intellectual property?Will youretain rights before opening data to wider use? How long?Embargoperiodsfor political/commercial/patent reasons? Ethicaland privacy issues?If you are planning on restricting access, use or dissemination of the data, you must explain in this section how you will codify and communicate these restrictions. Who are the foreseeable data users?
  • UVA policy states that “data will be preserved for a minimum of five years upon completion of the project” – explain if you’ll be preserving the data longer than five yearsPolicy: Laboratory Notebook and Recordkeeping https://policy.itc.virginia.edu/policy/policydisplay?id=RES-002Places to archive your data:The University of Virginia is developing an institutional repository (Libra), which will serve as an ideal long-term storage facility for digital research data. Deposit in discipline specific repositoryDeposit in Institutional RepositoryMake accessible on online project web page Make accessible on institutional web siteInformally on a peer-to-peer basisSubmitting to a journalWhat datatransformationsneed to occur before preservation?What metadata will be submitted alongside the datasets?Who will be responsible for preparing data for preservation? Who will be the main contact person for the archived data?
  • With differing guidelines, which one should you use? Guidelines should be followed in this order:First, follow the requirements laid out in the specific solicitation, if any. These can generally be found in a section entitled "Proposal Preparation Instructions." Contact the program officer with any questions. Second, follow the guidelines published by the appropriate NSF directorate and/or division. Not all directorates and divisions have published data management guidelines; check the NSF's page on Dissemination and Sharing of Research Results for updates (1st link in handout) Third, follow the more general guidelines in the Grant Proposal Guide.
  • The DMPTool was launched in October 2011.Online Data Management Plan creation toolHelps researchers meet requirements of NSF and other U.S. funding agenciesStep-by-step wizard for generating a DMP Open to anyone, even those not affiliated with an institution. Links to institutional resources Directorate information & updates
  • Helps researchers meet requirements of NSF and other US Funding agencies.Guides researchers thru the process of creating a DMP
  • Tool is for multi-institutionsIt is available to everyone, even those not affiliated with an institution.Provides additional help for researchers @UVa and Virginia Tech.

Data Management Planning for Engineers Data Management Planning for Engineers Presentation Transcript