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Research Data Management Best Practices
Dalal Rahme
Data Services Librarian
American University of Beirut
American University of Beirut
Research Data
“Recorded factual
material commonly accepted in
the scientific community as
necessary to validate research
findings.” (NIH, 2003)
dalal.rahme@aub.edu.lb
American University of Beirut
Research Data Lifecycle
Create
Process
Analyse
???
@DalalRahme
What seems to be the problem?
American University of Beirut
Digital obsolescence
 Software: the software
needed to access the digital
file becomes obsolete.
 Hardware: the hardware
needed to access the digital
file becomes obsolete
American University of Beirut
Making Data FAIR
Findable
• Persistent identifier (like a DOI or Handle)
• Rich metadata for description
• Available via discovery portals
Accessible
• Clarity and transparency around the conditions governing access and reuse
Interoperable
• Use of community agreed formats, language and vocabularies for data and metadata
Reusable
• Rich contextual information
• Information on how data was formed
• Machine readable metadata and licensing information
@DalalRahme
American University of Beirut
Research Data Management
 Involves curation and preservation of
both data and associated metadata
 Extents beyond the project life-cycle
(long-term) to ensure sustained
accessibility and re-use
 Requires effective planning – i.e.
Research Data Management Plan (RDMP or DMP)
@DalalRahme
Digital
Object
Metadata+
American University of Beirut
Selected Funders requiring a DMP
@DalalRahme
What is a Data Management
Plan(DMP)?
American University of Beirut
A Data Management Plan
 A short document
 A living document
 Required by many funding agencies
 Includes 2 topics:
 What data will your research generate?
 What is your plan for managing the data?
@DalalRahme
American University of Beirut
I. Data Production
What data will you collect or create?
@DalalRahme
American University of Beirut
How will the data be collected or created?
Tools/ Software
Scripts
Time frame
Data Production
Proprietary
vs
Non-
Proprietary
@DalalRahme
In which format the data
will be kept?
American University of Beirut
Formats
@DalalRahme
American University of Beirut
II. Description and Organization
Describing and organizing
your data makes analysis
easier for you and
provides context for those
you want to share the data
with.
@DalalRahme
American University of Beirut
Documentation
• Detailing your methods
helps people understand
what you did
• And helps make your work
reproducible
• Conclusions can be verified
@DalalRahme
American University of Beirut
Metadata
“Metadata is structured information that describes, explains, locates,
or otherwise represents something else.” (NISO, 2004)
 Some fields of research have already defined their metadata
standards: Darwin Core (Biology), VRA Core (Visual Art), EBU
Core (Audiovisual Content)
 Repositories ask you as depositor to provide metadata along with
your file.
@DalalRahme
American University of Beirut
Naming conventions
Consider including:
• Unique Identifiers such as project name or grant number
• Conditions such as lab instrument, solvent..etc
• Date
• Version number
Example1:
aub_aco000001_000001_m.tif
aub_aco000001_000001_d.tif
(organization_projectnamebooknumber_page number_master/derivative copy. format
Example 2:
micro_hhl_20170620_dr_001.tif
(instrument_insectname_date_initials_sequential number.format)
@DalalRahme
American University of Beirut
Access and Security
Sharing Research Data is important
because…
• It promotes innovation and potential new data uses
• It maximizes transparency and accountability
• It encourages the improvement and validation of research methods
• It reduces the cost of duplicating data collection
• It increases the impact and visibility of research
• It promotes the research that created the data and its outcomes
• It provides a direct credit to the researcher as a research output in its own
right
American University of Beirut
III. Access and Security
Your DMP should include information on how to protect
and secure your data.
How will the data be backed up? And how frequent?
Who will be responsible for the backing up?
How will the data be recovered in the event of an incident?
@DalalRahme
American University of Beirut
III. Access and Security
Consider AUB campus specific information on Security:
 IT security: Data Classification Policy
 IRB at AUB
 AUBMC Access to medical records for research
 AUB Data Bank Institutional Repository Policy
Consider Laws and Legislations:
Access to Information Law in Lebanon
HIIPA (Health Insurance Portability and Accountability Act)
@DalalRahme
American University of Beirut
IV. Reuse and Sharing
Creative Commons
licenses provide
options for selecting
how you would like to
allow others to use
your data.
@DalalRahme
American University of Beirut
V. Archiving and Preservation
Think about what will
happen to your data
long-term, beyond its
current use in the
project.
@DalalRahme
American University of Beirut
V. Archiving and Preservation
Deposit your data
in an institutional
repository:
AUB Scholarworks
AUB Data Bank
@DalalRahme
American University of Beirut
• Storage
• Backup
• Discoverability
• Structured
Metadata
Preservation
• Accessibility
• Citation
• Unique identifier
(handle)
Visibility • Embargo
• Access Restriction
• Institutional
Support
Control
American University of Beirut
V. Archiving and Preservation
There are lots of general and subject specific repositories
Searchable list of repositories by subject or country: https://www.re3data.org/
@DalalRahme
The DMPTOOL
https://dmptool.org/
Funder guidance
Public plans
Data management resources
Sign in
American University of Beirut
Thank you
More info
http://tiny.cc/dataservices
dalal.rahme@aub.edu.lb

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Research Data Services Best Practices by Dalal Rahme

  • 1. Research Data Management Best Practices Dalal Rahme Data Services Librarian American University of Beirut
  • 2. American University of Beirut Research Data “Recorded factual material commonly accepted in the scientific community as necessary to validate research findings.” (NIH, 2003) dalal.rahme@aub.edu.lb
  • 3. American University of Beirut Research Data Lifecycle Create Process Analyse ??? @DalalRahme
  • 4. What seems to be the problem?
  • 5.
  • 6. American University of Beirut Digital obsolescence  Software: the software needed to access the digital file becomes obsolete.  Hardware: the hardware needed to access the digital file becomes obsolete
  • 7. American University of Beirut Making Data FAIR Findable • Persistent identifier (like a DOI or Handle) • Rich metadata for description • Available via discovery portals Accessible • Clarity and transparency around the conditions governing access and reuse Interoperable • Use of community agreed formats, language and vocabularies for data and metadata Reusable • Rich contextual information • Information on how data was formed • Machine readable metadata and licensing information @DalalRahme
  • 8. American University of Beirut Research Data Management  Involves curation and preservation of both data and associated metadata  Extents beyond the project life-cycle (long-term) to ensure sustained accessibility and re-use  Requires effective planning – i.e. Research Data Management Plan (RDMP or DMP) @DalalRahme Digital Object Metadata+
  • 9. American University of Beirut Selected Funders requiring a DMP @DalalRahme
  • 10. What is a Data Management Plan(DMP)?
  • 11. American University of Beirut A Data Management Plan  A short document  A living document  Required by many funding agencies  Includes 2 topics:  What data will your research generate?  What is your plan for managing the data? @DalalRahme
  • 12. American University of Beirut I. Data Production What data will you collect or create? @DalalRahme
  • 13. American University of Beirut How will the data be collected or created? Tools/ Software Scripts Time frame Data Production Proprietary vs Non- Proprietary @DalalRahme In which format the data will be kept?
  • 14. American University of Beirut Formats @DalalRahme
  • 15. American University of Beirut II. Description and Organization Describing and organizing your data makes analysis easier for you and provides context for those you want to share the data with. @DalalRahme
  • 16. American University of Beirut Documentation • Detailing your methods helps people understand what you did • And helps make your work reproducible • Conclusions can be verified @DalalRahme
  • 17. American University of Beirut Metadata “Metadata is structured information that describes, explains, locates, or otherwise represents something else.” (NISO, 2004)  Some fields of research have already defined their metadata standards: Darwin Core (Biology), VRA Core (Visual Art), EBU Core (Audiovisual Content)  Repositories ask you as depositor to provide metadata along with your file. @DalalRahme
  • 18.
  • 19. American University of Beirut Naming conventions Consider including: • Unique Identifiers such as project name or grant number • Conditions such as lab instrument, solvent..etc • Date • Version number Example1: aub_aco000001_000001_m.tif aub_aco000001_000001_d.tif (organization_projectnamebooknumber_page number_master/derivative copy. format Example 2: micro_hhl_20170620_dr_001.tif (instrument_insectname_date_initials_sequential number.format) @DalalRahme
  • 20. American University of Beirut Access and Security
  • 21. Sharing Research Data is important because… • It promotes innovation and potential new data uses • It maximizes transparency and accountability • It encourages the improvement and validation of research methods • It reduces the cost of duplicating data collection • It increases the impact and visibility of research • It promotes the research that created the data and its outcomes • It provides a direct credit to the researcher as a research output in its own right
  • 22. American University of Beirut III. Access and Security Your DMP should include information on how to protect and secure your data. How will the data be backed up? And how frequent? Who will be responsible for the backing up? How will the data be recovered in the event of an incident? @DalalRahme
  • 23. American University of Beirut III. Access and Security Consider AUB campus specific information on Security:  IT security: Data Classification Policy  IRB at AUB  AUBMC Access to medical records for research  AUB Data Bank Institutional Repository Policy Consider Laws and Legislations: Access to Information Law in Lebanon HIIPA (Health Insurance Portability and Accountability Act) @DalalRahme
  • 24. American University of Beirut IV. Reuse and Sharing Creative Commons licenses provide options for selecting how you would like to allow others to use your data. @DalalRahme
  • 25. American University of Beirut V. Archiving and Preservation Think about what will happen to your data long-term, beyond its current use in the project. @DalalRahme
  • 26. American University of Beirut V. Archiving and Preservation Deposit your data in an institutional repository: AUB Scholarworks AUB Data Bank @DalalRahme
  • 27. American University of Beirut • Storage • Backup • Discoverability • Structured Metadata Preservation • Accessibility • Citation • Unique identifier (handle) Visibility • Embargo • Access Restriction • Institutional Support Control
  • 28. American University of Beirut V. Archiving and Preservation There are lots of general and subject specific repositories Searchable list of repositories by subject or country: https://www.re3data.org/ @DalalRahme
  • 30.
  • 31. Funder guidance Public plans Data management resources
  • 33. American University of Beirut Thank you More info http://tiny.cc/dataservices dalal.rahme@aub.edu.lb

Editor's Notes

  1. All original sources or material (digital or not) created or collected to conduct a research project. All data that is analysed to answer the research question(s).  Research data “may be raw, abstracted or analysed, experimental or observational.” (UCL Research Data Policy)  Examples include: questionnaires, audio recordings, database entries, blood samples, lab notebooks, list of measurements, photographs, maps etc.
  2. “AUB is proud to produce more than half of Lebanon’s entire research and we are also proud to have the highest research output per faculty member in the Arab world” 
  3. The rapid evolution and proliferation of different kinds of computer hardware, modes of digital encoding, operating systems and general or specialized software ensures that digital obsolescence will become a problem in the future. Many versions of word-processing programs, data-storage media, standards for encoding images and films are considered "standards" for some time, but in the end are always replaced by new versions of the software or completely new hardware. Files meant to be read or edited with a certain program (for example Microsoft Word) will be unreadable in other programs, and as operating systems and hardware move on, even old versions of programs developed by the same company become impossible to use on the new platform (for instance, older versions of Microsoft Works, before Works 4.5, cannot be run under Windows 2000 or later). This is why we need to take all of those changes into consideration when working with our research data.
  4. So what we want to do is to make our data FAIR> The FAIR Data Principles are a hot topic in research data management. Their adoption within the Horizon 2020 funding programme means researchers now have to pay much more attention to how their share, publish and archive their data. Horizon 2020 is the biggest EU Research and Innovation programme We have to ensure that our archives are in alignment with those principles.
  5. A Data Management Plan (DMP) is a document you create that sets out how you will organize, store and share your research data at each stage in your project. A DMP is a living document that can be modified to accommodate changes in the course of your research. A DMP is a high level plan: no private data is exposed.
  6. IN the first part we are going to talk about the kind of data you are collecting, whether it is in a digital format such as an image or a video, textual or numerical, spreadsheets or interview transcript (provide pics), or even physical. We are only thinking in the digital context here but the same applies to physical data .
  7. Knowing what you are collecting, how much are you collecting of it and how much storage do you need. Think in advance about the space you need and how quickl;y you are gong to need it. You are going to think about the formats you are saving your data in. how will you save your data. This is an example of all the way you can save a spreadsheet. It is always advised to use open formats. Closed format: Can only be used, opened by a specific type of hardware or software, such as Word by Microsoft (office). Open format: Available to anyone to read and study and even modify.
  8. Those are some few examples. More can be found under www.openformats.org
  9. This is a huge topic and we are going to talk about it in details in other session
  10. Readme file and dictionaries.
  11. Open AUB scholarworks and show metadata.
  12. Be aware of the laws, legislations, organization policies and departments policies when it comes to data security and privacy. Talk to the IT at your department and learn more about their proceedures. HIPAA (Health Insurance Portability and Accountability Act of 1996) is United States legislation that provides data privacy and security provisions for safeguarding medical information.  The IRB is the committee formally designated by the Human Research Protection Program to review and approve the conduct of research involving human subjects who are recruited to participate in research activities conducted at AUB/AUBMC and/or by AUB/AUBMC faculty, students and staff, regardless of the funding source or the location of the research. AUB scholarworks policy, back up every night, several copies are kept on different servers. Authentication is available through username and password whenever needeed.
  13. This is especially for special data. Some data can be reproduced, other data cannot, such as earthquake data cannot be reproduced…etc so that dataset is a little bit more special. You may charge people who are requesting your data a fee if it is going to cost you something but it should be no more than incremental cost. You cannot charge like a $1000. So if you are sharing data think about stipulation to put on your data. CC. Explain each license.
  14. The final part is archiving and preservation. You want to have it accessible in the future not only to you but to other people from different disciplines maybe.
  15. There are several options: AUB databank: talk about benefits. Free repository handled by the institution.
  16. Subject specific repositories are usually not for free and handled by other institutions.
  17. The DMPTool is an online tool that includes data management plan templates for many of the large funding agencies that require such plans The tool includes general guidance, links to helpful documentation, issues to consider, and specific questions to think about as you prepare your data management plan. Space is provided to compose a response for each of the main areas that your funding agency would like for you to address in your plan. You can save and come back to your plan as often as you like. When you are finished, you can export your plan in plain text format and insert it into your grant proposal. You can share your plan with your research group and with us to review it before sending it.