Citation
Data Management Plan (DMP) Training Workshop - January 23, 2017 (UFII)

Material Information

Title:
Data Management Plan (DMP) Training Workshop - January 23, 2017 (UFII)
Series Title:
Data Management / Curation Working Group Materials
Creator:
Smith, Plato
Durant, Fletcher
Deumens, Erik
Gitzendanner, Matt
Norton, Hannah
Taylor, Laurie N.
Van Kleeck, David
Place of Publication:
Gainesville, FL
Publisher:
George A. Smathers Libraries, University of Florida
Language:
English
Physical Description:
Meeting agenda

Subjects

Subjects / Keywords:
Data management
Data curation
Training

Notes

Abstract:
Meeting notes for the UF Data Management / Curation Working Group.

Record Information

Source Institution:
University of Florida
Holding Location:
University of Florida
Rights Management:
The author dedicated the work to the Commons by waiving all of his or her rights to the work worldwide under copyright law and all related or neighboring legal rights he or she had in the work, to the extent allowable by law.

Downloads

This item is only available as the following downloads:


Full Text

PAGE 1

Data Management Plan (DMP) Training Data Management and Curation Working Group ( DMCWG ) 4thDMP Training Workshop January 23, 2017, 11:30 am 1:00 pm UF Informatics Institute

PAGE 2

Tableof Contents1.Why is data management planning important?2.Who are the Stakeholders involved in data management planning?3.What is a data management plan?4.What are some key components of a data management plan?5.What are some key data lifecycle processes?6.How can you develop a data management plan?7.References8.Contacts9.AcknowledgementsDMP Training 1/23/17 DMCWG 2

PAGE 3

Why is data management planning important? NSF Data Management Plan Requirements 2011 January 18, 2011 Proposals submitted or due after January 18, 2011, must include a supplementary document of no more than two pages labeled Data Management Plan . https://www.nsf.gov/bfa/dias/policy/dmp.jsp Office of Science and Technology Policy 2013 February 22, 2013 Memorandum for the Heads of Executive Departments and Agencies: Increasing Access to the Results of Federally Funded Scientific Research http://tinyurl.com/qhzuuy7 NSF Public Access Plan (NSF 15 52) 2015 March 18, 2015 Todays Data, Tomorrows Discoveries: Increasing Access to the Results of Research Funded by the National Science Foundation https://www.nsf.gov/pubs/2015/nsf15052/nsf15052.pdf DMP Training 1/23/17 DMCWG 3

PAGE 4

Why is data management planning important? ( Steneck 2007, p. 87)Data management practices should be addressed before any data is collected Four important issues to take into consideration are:1.Data Ownership2.Data Collection3.Data Storage4.Data SharingData management plan for a facilityDe identifying sensitive dataPermanent data depositReproducibility of dataDMP Training 1/23/17 DMCWG 4

PAGE 5

Who are the Stakeholders involved in data management planning? (JISC et al., 2009, p. 3)DMP Training 1/23/17 DMCWG 5Fig. 1 Stakeholders and Data Management Responsibilities Help select data/ingest data into repositories Curate/preserve data Facilitate access/reuse (including metadata) Provide training Provide HPC (high performance computing), infrastructure, storage Offer consultation, resources, technical support, and training Create research data Add context/meaning Develop budget to prepare, store, archive Provide access & use Provide finances, data curation infrastructure, support, and services Develop Best Practices, Guidance & Policies Funders, Senior Management, Office of Research PI, Faculty, Researchers, Scientists, Students Data Curators, Librarians, Managers, Repositories IT Partners, Research Computing, Technology Staff

PAGE 6

What is a data management plan? A data management plan is designed to encapsulate & articulate details about data from collection to curation to preservation to dissemination to destruction (data lifecycle ). A data management plan should be an on going process rather than a level of grant requirement for a funding agency program solicitation.DMP Training 1/23/17 DMCWG 6

PAGE 7

DMP Training 1/23/17 DMCWG 7Fig. 2 Components of RDM support services (used with permission)What is a data management plan? (Jones, et al., 2013, p. 5)

PAGE 8

DMP Training 1/23/17 DMCWG 8Fig. 3 Elements of data management plans (used with permission)What is a data management plan? ( ANDS 2016)

PAGE 9

DMP Training 1/23/17 DMCWG 9Fig. 4 Data Management Plan Components and GoalsWhat is a data management plan?

PAGE 10

What are some key components of a data management plan? (DCC, 2013)Administrative DataID (funder or institution)FunderGrant Reference #Project NameProject DescriptionPI/ResearcherResearcher ID (e.g. ORCID )Date of 1stversion, last update, and related policies Data CollectionWhat data will you collect of create?What type, format, and volume of data? (e.g. text, vcf 3050 Gigabyte per dataset)How will the data be collected or created?What standards or methodologies will you use?How will you structure and name your folders and files?DMP Training 1/23/17 DMCWG 10

PAGE 11

DMP Training 1/23/17 DMCWG 11What are some key components of a data management plan? Fig. 5 UF Data Classification Guidelines (revised 12/2016)

PAGE 12

What are some key components of a data management plan? ( example)Administrative Data ID: UFID#12345678 UF Libraries Strategic Opportunity Program SO48 Grant, 7/2016 Documenting VCF Datasets Use Case PI: Dr. Smith RID: N 91232015 20160808, v.1 Last updated: 20170111Data Collection Software Format Longterm access Sharing DMP Training 1/23/17 DMCWG 12

PAGE 13

DMP Training 1/23/17 DMCWG 13What are some key components of a data management plan? ( example) Fig. 6 Raw data to SRA results to journal, vcf to zenodo and IR@UF workflows

PAGE 14

What are some key components of a data management plan? (DCC, 2013)Documentation and MetadataWhat documentation and metadata will accompany the data?What information is needed for the data to be read and interpreted in the future?How will you capture/create the documentation and metadata?What metadata standards will you use and why?Ethics, Legal, and Regulatory CompliancesHow will you manage any ethical issues?Have you gained consent for data preservation and sharing ?How will you manage copyright and Intellectual Property Rights (IPR) issues?Who owns the data?How will the data be licensed for reuse?DMP Training 1/23/17 DMCWG 14

PAGE 15

Objective Output name Output description Output (type, format) Obj. 1 Synthesized data sets Habitat; Fisheries independent; Fisheries dependent Habitat (derived, geospatial), Fisheries (derived, tabular) Obj. 2 Hierarchical analyses of spatial recruitment and angler effort Reports; Instructions for analyses; Data analyses code; Geospatial images Reports and Instructions (text, PDF/XML); Code (text, .txt); Geospatial (TIFF and GIS) Obj. 3 Social ecological regional system model analyses Reports; Instructions for analyses; Data analyses code Reports and Instructions (text, PDF/XML); Code (text, .txt) Obj. 4 Restoration management strategy evaluation (MSE) Simulation results; Reports; Instructions for analyses; Data analyses code Simulation (simulated data, CSV); Reports and Instructions (text, PDF/XML); Code (text, .txt)DMP Training 1/23/17 DMCWG 15What are some key components of a data management plan? ( Lorenzen et al., 2016, Table 6)

PAGE 16

What are some key components of a data management plan? (DCC, 2013)Data SharingHow will you share the data?How will potential users find out about your data?Are any restriction on data sharing required?What action will you take to overcome or minimize restriction?Responsibilities & ResourcesWho will be responsible for data management?Who is responsible for implementing the DMP, and ensuring it is reviewed and revised?What resources will you require to deliver your plan?Is additional specialist expertise (or training for existing staff) required?DMP Training 1/23/17 DMCWG 16

PAGE 17

What are some key components of a data management plan? (examples)Data SharingSecured environment (e.g. restricted or sensitive data)Discipline specific data repository (e.g. re3data )General data repository (e.g. OAIS ; ISO 14721 ; Data Seal or Approval )UF Institutional R epository ( IR@UF ) Responsibilities & ResourcesPI (DMP Implementer)Research Assistant, Project Manager, Postdoc, IT Support, Graduate StudentPolicies compliancyBudget/costs/fundingCollaborations, partners, consortiums (e.g. idigbio )Agreements/MOUs/PoliciesDMP Training 1/23/17 DMCWG 17

PAGE 18

UF Research Computing/Data Services HiperGator High Performance Computing (HPC)50,000 cores3 Petabytes storage ResVault ( FISMA moderate rating)Secure data storage and analysis for restricted data HIPAA, ITAR/EAR, FERPA, Intellectual property data Gatorbox Dropbox for Faculty OneDrive @ UF UFIT supported data storage, synchronization and sharing https://www.rc.ufl.edu/services/data management / DMP Training 1/23/17 DMCWG 18What are some key components of a data management plan? (UF resources)

PAGE 19

Data Management Plan Tools DMPTool Public DMPs, United States https://dmptool.org / DMP online, Digital Curation Centre, United Kingdom https://dmponline.dcc.ac.uk/ DIRT Digital Research Tools https://dirtdirectory.org / FGDC, Geospatial Metadata Tools https:// www.fgdc.gov/metadata/geospatial metadata tools NCBI, Data & Software, https://www.ncbi.nlm.nih.gov/guide/data software / NOAA. Archiving your Data at NCEI, https:// www.ncdc.noaa.gov/customer support/archiving your data ncdc ORNL DAAC, Distributed Active Archive Center for Biogeochemical Dynamics Tools, https:// daac.ornl.gov/tools.shtml UCAR, Unidata Software Data Visualization & Analysis Software; Data Access & Management Software http://www.unidata.ucar.edu/software / USGS Data and Tools, Data Management Tools https:// www.usgs.gov/products/data and tools/data management tools DMP Training 1/23/17 DMCWG 19What are some key components of a data management plan? (tools)

PAGE 20

What are some key data lifecycle processes? (USGS, 2013)Plan for the dataFull lifecycle data management articulation Ownership, Collection, Storage, Sharing Steps to identify and secure resources and utilize infrastructure for data acquisition Resources, Support, & Tools Acquire the dataHow will you collect data? Collect new data Convert/transform legacy data Share /exchange data Purchase data DMP Training 1/23/17 DMCWG 20

PAGE 21

What are some key data lifecycle processes? (USGS, 2013)Process the dataVerify, organize, transform, and extract data in an appropriate output for subsequent use Analyze the dataPerform actions and method that describe facts, detect patterns, develop explanations, and test hypothesis DMP Training 1/23/17 DMCWG 21

PAGE 22

What are some key data lifecycle processes? (USGS, 2013)Preserve the dataPerform actions and procedures to keep data for specific period of time for future use (e.g. data retention strategy) Publish/Share the dataProcess to prepare data for dissemination, public access, and reuse (includes documentation and metadata to facilitate aggregation, dissemination, and representation) DMP Training 1/23/17 DMCWG 22

PAGE 23

How can you develop a data management plan? ( Lorenzen et al., 2016 DMP example successfully awarded refer to handout )Project Title : Synthesizing spatial dynamics of recreational fish and fisheries to inform restoration strategies: red drum in the Gulf of MexicoFunding Agency : A Data Synthesis Project supported by the National Academies Gulf Research ProgramFunding Support : Total budget requested: $480, 248Key Contacts: Kai Lorenzen (Project Director, PI), University of Florida (UF), School of Forest Resources and Conservation (SFRC), Fisheries and Aquatic Sciences Program (FAS) Ed Camp ( PostDoc Co PI), UF, SFRC, FAS (modeling and quantitative analysis) Jynessa Dutka Gianelli ( PostDoc Co PI), UF, SFRC, FAS (data management) DMP Training 1/23/17 DMCWG 23

PAGE 24

DMP Training 1/23/17 DMCWG 24 Hands on exercise portion of this workshop: Navigate to https://dmptool.org Click on Login in upper right hand corner Click on dropdown arrow to select your institution Select the University of Florida Click on the Next button Login with you GatorLink credentials Click on Create New DMP Select DMP Template from DCC How can you develop a data management plan?

PAGE 25

ReferencesANDS. (2016). Australian National Data Services. Data management plans. Accessed January 20, 2017 from http:// www.ands.org.au/working with data/data management/data management plans DCC. (2013). Checklist for a Data Management Plan. V.4.0. Edinburgh: Digital Curation Centre. Available online: http://www.dcc.ac.uk/resources/data management plans JISC, University of Glasgow HATII, & DCC. (2009). Data Asset Framework: Implementation Guide. Available online: http ://www.data audit.eu/docs/DAF_Implementation_Guide.pdf Jones, S., Pryor, G. & Whyte, A. (2013). How to Develop Research Data Management Services a guide for HEIs. DCC How to Guides. Edinburgh: Digital Curation Centre. Accessed January 20, 2017 from http ://tinyurl.com/hpf6nod NSF (2015). NSF Public Access Plan: Todays Data, Tomorrows Discoveries. Increasing Access to the Results of Research Funded by the National Science Foundation. Accessed January 20, 2017 from https:// www.nsf.gov/pubs/2015/nsf15052/nsf15052.pdf Steneck N. H. (2007). ORI Introduction to the Responsible Conduct of Research. Accessed January 20, 2017 from http:// ori.hhs.gov/sites/default/files/rcrintro.pdf UF Information Technology. (2015). Data Classification Guidelines. Accessed January 20, 2017 from http://www.it.ufl.edu/policies/information security/data classification guidelines / USGS ( 2013). USGS Data Management. Data Lifecycle Overview. Accessed January 20, 2017 from https://www2.usgs.gov/datamanagement/why dm/lifecycleoverview.php DMP Training 1/23/17 DMCWG 25

PAGE 26

ContactsData Management and Curation Working Group, DATAMGMT L@LISTS.UFL.EDU UF Libraries Subject Specialists, Faculty Liaisons Plato Smith Data Management Librarian, plato.smith@ufl.edu UF Research Computing Information Technology, https://www.rc.ufl.edu/contact/ DMP Training 1/23/17 DMCWG 26

PAGE 27

AcknowledgementsDr. George Michailidis Founding Director, UF Informatics InstituteAlethea Geiger, Administrative Specialist III, UF Informatics InstituteFlora Marynak, Office Assistant, UF Informatics InstituteData Management and Curation Working GroupUF Libraries, UF Division of Sponsored Programs, UF Research Computing, UF/IFAS, UF Department of Molecular Genetics & MicrobiologyDMP Training 1/23/17 DMCWG 27

PAGE 28

Thank you, my friends! Questions and Comments Plato Smith plato.smith@ufl.edu DMP Training 1/23/17 DMCWG 28