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Research Data Management Nova Southeastern University – Halmos College of Natural Sciences and Oceanography – Ocean Campus 16-20 November 2015 Institutional.

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Presentation on theme: "Research Data Management Nova Southeastern University – Halmos College of Natural Sciences and Oceanography – Ocean Campus 16-20 November 2015 Institutional."— Presentation transcript:

1 Research Data Management Nova Southeastern University – Halmos College of Natural Sciences and Oceanography – Ocean Campus 16-20 November 2015 Institutional Repositories for Data Management Michele Gibney Nova Southeastern University mgibney@nova.edu With the support of the Government of Flanders, Belgium

2 Introduction to Institutional Repositories (IRs) / NSUWorks Big Data in IRs IRs - Options & Examples DEEPEND Project Demo Research Data Management OUTLINE

3 Institutional repositories are online archives that collect, preserve, and disseminate the intellectual output of an institution’s communities (faculty, students, staff, and alumni) and historical materials produced by the institution. Research Data Management WHAT IS AN INSTITUTIONAL REPOSITORY?

4 Goals: o Represent every school, college, center, and institute at NSU o Traditional and non-traditional content from faculty, staff, and students o NSU-produced publications (journals and departmental) o Collections from the NSU Archives Features: o Worldwide readership map o Discipline Wheel o Embedded multimedia, including streaming audio/video and flipping books o Unlimited Storage http://nsuworks.nova.edu Research Data Management NSUWORKS

5 Traditional Articles Books Book chapters Conference proceedings, presentations, lectures Non-Traditional Reports Open education resources Oral interviews Monographs/publications Datasets Research Data Management TRADITIONAL AND NON-TRADITIONAL CONTENT

6 BIG DATA IN INSTITUTIONAL REPOSITORIES Research Data Management Image free from: http://bit.ly/1SEoLv3

7 Myth: Huge Reality: all sizes COMMON MISCONCEPTIONS: FILE SIZES Research Data Management Images free from: http://bit.ly/1MSXGnU and https://pixabay.com/p-375022/?no_redirect

8 *Compiled from a random sampling of 300 data sets in Figshare, Dryad, and Harvard’s Dataverse. AVERAGE DATA FILE SIZES Research Data Management Data from: http://digitalcommons.bepress.com/data/1/

9 FILE TYPES MYTH: ALL ARE NUMERIC Research Data Management

10 FILE TYPES REALITY: A VARIETY OF FORMATS Research Data Management

11 “Please select, and/or list, the file extensions you have produced, or anticipate producing, with your research.” COMMON FILE EXTENSIONS Research Data Management Data from: http://digitalcommons.bepress.com/data/4/

12 TYPES OF REPOSITORIES FOR DATA MANAGEMENT Research Data Management

13 GRANT-RELATED DATA Research Data Management

14 PROJECT-SPECIFIC DATA Research Data Management

15 ARTICLES WITH DATA UPLOADED AS “ADDITIONAL FILES” Research Data Management

16 LINKING OUT TO THE DATASETS Research Data Management

17 DSPACE AT UNIVERSITY OF EDINBURGH http://datashare.is.ed.ac.uk/ Research Data Management

18 HYDRA AT UNIVERSITY OF HULL https://hydra.hull.ac.uk/ Research Data Management

19 HUBZERO AT PURDUE UNIVERSITY https://purr.purdue.edu/ Research Data Management

20 Department of Marine and Environmental Sciences Faculty Datasets: http://nsuworks.nova.edu/occ_facdatasets/ http://nsuworks.nova.edu/occ_facdatasets/ DEEPEND Project Research Data Management HALMOS COLLEGE DATASETS Top image from: http://www.nova.edu/ur/public-affairs/images/oc-release.jpg

21 Managing the big data requirements of an oceanographic center grant funded project http://nsuworks.nova.edu/deepend http://deependconsortium.org/ Research Data Management THE DEEPEND PROJECT

22 Funded by GOMRI (Gulf of Mexico Research Initiative) as part of the Deepwater Horizon oil spill event impact study DEEPEND (Deep-pelagic Nekton Dynamics of the Gulf of Mexico) is directed by Dr. Tracey Sutton The research will be primarily focused on the pelagic (open ocean) realm, from surface to depths of over one mile and the goal is to study short- and long-term consequences of both natural and man- made disturbances in the Gulf of Mexico ecosystem Other NSU faculty involved along with scientists from FIU, Texas A&M, USF, FAU, US Naval Research Laboratory, and the San Antonio Zoo Research Data Management BACKGROUND

23 DEEPEND has 4 objectives: 1.Define community structure, abundance, and distribution of deep water column fauna 2.Document biophysical drivers of ecosystem structure 3.Determine genetic diversity among representative pelagic taxa 4.Predict potential consequences of the DWHOS on the gom pelagic fauna and microbial flora. Research Data Management RESEARCH OBJECTIVES

24 Data is actively being collected in a series of cruises over the next 3 years. Deep sea fauna Community and organismal ecology Mesoscale physical oceanography Fine-scale oceanography Pelagic contamination, recruitment, and genetic structure as a result of disturbance Research Data Management THE NEED FOR NSUWORKS

25 Funding requirements for data: Data must be published in the GRIIDC database either one year after collection or just after publishing, whichever comes first GRIIDC is open access Data must be backed up by host institution apart from GRIIDC Research Data Management THE NEED FOR NSUWORKS

26 Initial Meeting Describe NSUWorks and its capability Secondary Meeting Design initial structures and overall look DEEPEND Consortium Meeting Introduce NSUWorks to the full team Training Held a webinar for the DEEPEND team on uploading and access Research Data Management JOINING FORCES Image free from: https://c1.staticflickr.com/1/53/152520450_3378f86b21.jpg

27 Layout Options and Customization Research Data Management CONCERNS Image free from: http://bit.ly/1MV9Wjp

28 Space / Size Constraints Research Data Management CONCERNS Image free from: https://c1.staticflickr.com/1/310/19537442346_171b63c0f6_b.jpg

29 Security / Privacy Research Data Management CONCERNS Image free from: https://pixabay.com/p-538715/?no_redirect

30 Open Access Research Data Management CONCERNS Image free from: https://farm3.staticflickr.com/2415/2309847575_39e4f0c0bc_o_d.jpg

31 Support Research Data Management CONCERNS Image free from: https://pixabay.com/p-311584/?no_redirect

32 http://nsuworks.nova.edu/deepend Research Data Management DEEPEND IN THE REPOSITORY

33 Research Data Management SNEAK PEAK – DATA BROCHURE

34 Michele Gibney NSU University Archivist mgibney@nova.edu Research Data Management QUESTIONS?


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