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Open Video Data Sharing
The Databrary Project
NSF BCS-1238599NICHD U01-HD-076595
Wednesday, March 18, 15
Afternoon Schedule
12:30 pm - 1:30 pmLunchCommunity forum on open data sharing
Wednesday, March 18, 15
Afternoon Schedule
1:45 pm - 3:15 pmIntroducing DatabraryDatabrary functionality
3:15 pm - 3:30 pmBreak
3:30 pm - 5:00 pmAdvanced Datavyu ORAdvanced Databrary
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Logistics
WifiID: DatabraryPassword: Datavyu1
Lunch is freeDatabrary/Datavyu boothKaren’s talk
“Good Behavior: Coding, Sharing and Repurposing Video”, Saturday 9:55 am, Level 2, 204 C
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http://databrary.org/post/pre-conference.html
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Databrary Team
Karen Adolph, Project DirectorRick Gilmore, Associate DirectorDavid Millman, Assistant Director
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Databrary Team
Dylan Simon, Technical Director & Systems ArchitectLisa Steiger, Community Liaison & Project Manager
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Databrary Team
Gladys Chan, UI/UX DesignerVicky Foo, Databrary & Datavyu Quality AssuranceDrew Gordon, Information EngineerTom Gebert, Software DeveloperOmi Majumder, Databrary Quality Assurance & CurationLina Wictorén Roy, Project Coordinator
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Outline:A community forum on open
data sharingWhat is open data sharing?Why everyone should share openlyWhy everyone doesn'tMoving forwardThe Databrary vision
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What is open data sharing?
What is sharing?
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Different kinds of sharing
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Different kinds of sharing
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Different kinds of sharing
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Sharing data with
Lab colleaguesCollaborators on projectCollaborators not on projectOther researchers by request
co-authorship required
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Open data sharing
With other researchersWithout your approval or permissionPeople you might not know or like or agree withNo requirement for co-authorshipExpectation of proper credit, citation
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Your turn
What do you think about data sharing?Have you shared? Why or why not?What do you think about open data sharing?Have you shared openly? Why or why not?Is open data sharing desirable?
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Why everyone should openly share data
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Why everyone should
It’s the right thing to doShows leadershipOthers will benefit, and so will youTruth, justice, and the scientific way
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Why everyone should
Maximizes your hard effortsThe more you believe in your data, the more you should want to shareMore citations, credit, renownMore invitations to co-author, collaborateYour data are better than your arch rival’s
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Why everyone doesn’t
https://www.youtube.com/watch?v=N2zK3sAtr-4Wednesday, March 18, 15
Articles are only a sample of what was done
n=1Supplemental materials may not helpSome journals don't accept them
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Top 10 Reasons Everyone Doesn’t Share Data
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10. Data mining means...mine and only mine I am still analyzing the data to write more papersI have applied for a grant, and have to wait for the responseI am planning a textbook/autobiography/art gallery, and sharing the data would preempt it
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9. Arrogance
I like to be selective in my choice of collaboratorsOther shared data (not mine) is of poor quality; I don’t want to be associated with such low standardsI don’t have toData mining/re-use isn’t real science
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8. It’s a tough world
It took me 5 years to collect! Why should I give it away?People should acquire their own data. It’s good experience for them/youData sharing doesn’t help me one bit
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7. Personal Commitments
My boss/collaborator won’t let meI have an exclusive agreement to share only with XI promised the data to a competitor of yours
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6. Creative Lies
My hard drive crashedData is encoded, and I forgot the passwordGive me a few more weeks. I am thinking about the best way to distribute the files
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5. Mistrust
Others will misuse/overinterpret the dataData only good for the analysis I already publishedI’ll give it to you, but not to Dr. X
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4. Magical thinking
I am setting up my own database — I will put the data in itOk, I’ll give it to you. Will you send me a reminder next month?
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3. Fear of embarrassmentMy data aren’t organizedMy data are organized, but not to outsidersMy file/variable names are idiosyncraticI wrote my own softwareYes, I still use Excel 1.0 on Windows 3.1
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2. Time & money
I have a series of urgent deadlines. I will send it to you when I have time/retire/get a sabbatical/win the lotteryI have to publish new papers; I don’t have time or staff to find/clean/convert/rename old filesPeople will have issues with the data, and I don’t have time to rebut them
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1. Privacy, confidentiality, ethics
I collect identifiable dataMy participants are infants, children, and adolescentsI don’t have permission from my participants, their parents, collaborators, ethics board/IRB
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Your turn
Why don’t we share openly?What reasons for not sharing openly should the community reject?What reasons for not sharing openly should the community acknowledge and ameliorate?
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We, the people...
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http://databrary.org/access/policies/data-sharing-manifesto.html
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Moving forward
OwnershipWe don’t own our dataWe are its stewardsData stewards responsible for what, when, and with whom to shareBut, should share data and materials as widely as possible
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Moving forward
CreditCitation is the currency of scholarshipData should be easy to citeSharing data early resolves claims about who discovered what firstData re-use and repurposing is awesome
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Moving forward
BlameOwn your mistakes and fix themSharing data will help find and fix them fasterScience is (or should be) “self-correcting”No publicity is bad publicity
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Moving forward
TimeSave it by curating data for sharing as you collect itFind old projects you discardedSave it by putting data in one place, common format, preserved for the futureShare any time
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Moving forward
MoneyGet more by sharingSave on collection by re-using
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Moving forward
Privacy, confidentiality, ethicsEmbrace common principlesEnforce community standardsRespect participants’ wishes
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Databrary vision
Everyone shares openlySharing is secure, easy, funSharing saves time, moneyData are easy to find, preserved for the futureMore citations, more impactDiscover more about child development faster
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Databrary vision
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Your thoughts?
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