nida big data strategic planning workgrup presentation · big data wg members name workgroup chairs...
TRANSCRIPT
NIDA Big Data Strategic Planning Workgroup
April 10 2015
Co-shy‐ChairsRoger LiPle PhD (NIDA)
Massoud Vahabzadeh PhD (NIDA)
Agenda
bull Workgroup Co-shy‐Chair and Member IntroducNonsbull Workgroup LogisNcsbull CommiPee ChargeGoalsbull Background and Context13 bull Big Data13 Issues Challenges and OpportuniNesbull Other AcNon Items (eg Workgroup Homework)bull 5 Minute Public Comment13 Periodbull Adjourn
Big Data WGMembersNAMEWORKGROUP CHAIRS
Roger LiPle PhDMassoud Vahabzadeh PhD
EXTRAMURAL WORKGROUP MEMBERS Christopher Chute MD DrPH Michael Neale PhDEric13 Nestler MD PhDMichael Milham MD PhDArthur Toga PhDMaryanne Martone13 PhD
NIH13 STAFFPhilip Bourne13 PhDMaureen Boyle PhDEricka13 Boone PhDUdi13 Ghitza PhDSteve Gust PhDVani Pariyadath PhDTom Radman PhDJoni RuPer PhDTisha Wiley PhD13
AFFILIATION
NIDANIDA
Johns Hopkins UniversityVirginia13 Commonwealth UniversityThe Mount13 Sinai HospitalChild Mind InsNtuteUniversity of Southern CaliforniaUniversity of California13 at San Diego
NIH13 Associate Director for Data13 Science
NIDANIDANIDANIDANIDANIDANIDANIDA
LogisGcs13
bull Workgroup members13 ndash Please dial in through the phone instead of usingyour computer speakers to improve the quality ofthe audio
ndash We will mute parNcipants as necessary to controlnoise Please unmute to speak
LogisGcs13
bull Non-shy‐workgroup members should remain muted unNlthe public comment13 periodndash If you have a comment13 or quesNon before then please feelfree to enter it13 into the chat13 box
bull The webinar will be recordedbull There is a note taker on the call and summaries willbe posed on the websitehPpwwwdrugabusegovabout-shy‐nidastrategic-shy‐plan
NIDA13 Strategic Planning
bull RFI13 released in December to solicit13 feedback from thefield on NIDArsquos dra strategic prioriNesndash Basic Neuroscience Improve our understanding of the basicscience of drug use addicNon vulnerability to addicNon andrecovery13
ndash Clinical and TranslaGonal Science Support13 the development13 ofnew and bePer intervenNons and treatments that13 incorporatethe diverse needs of individuals with Substance Use Disorders(SUDs)13
ndash Public13 Health Increase the public health impact13 of NIDAresearch and programs
ndash Science Infrastructure Enhance the naNonal researchinfrastructure to support13 advancements in science
bull Comment period closed January 30thhPpgrantsnihgovgrantsguidenoNce-shy‐filesNOT-shy‐DA-shy‐15-shy‐005html
UpdaGng the NIDA13 Strategic Plan
bull Next13 steps13 ndash Bold Goals Challenge Will award up to $10k in prizes fortop ideas
ndash Priority Area13 Workgroups will be formed to gather input13 from internal and external experts on cross divisionaltopics to develop strategic prioriNes for
bull Big Data13 bull Gene x Environment13 x Development13 interacNonsbull Complex paNents (mulNple comorbidiNes)
ndash Division strategic plans currently being developed
NIDA13 Strategic Planning Timeline
bull RFI13 ndash Closed Jan 30 2015ndash Review comments by Mar 6 2015
bull Priority Area13 Workgroupsndash February through July
bull Bold Goals Challengendash Winner selecNon by August13
bull Dra Strategic Plan out13 for public comment13 ndash Summer 2015
bull Final Strategic Planndash Fall 2015
Workgroup Charge
bull To develop recommendaNons on the best13 approachfor NIDA to uNlize Big Data13 to advance strategicprioriNes including data13 sharingaccess analysisvisualizaNon reproducibility negaNve data13 resource
bull Deliverable 3-shy‐5 page summary of recommendaNonson leveraging lsquoBig Datarsquo in the next13 5 years
bull CompleNon date by Friday June 26th
Workgroup Charge
bull The workgroup should also address these crosscuQng themes as appropriatendash Training needs (training of clinicians common theme in RFI13 comments)
ndash Addressing sex and gender issuesndash How to leverage technology advancesndash Leveraging innovaNons from other fields
Background and Context
bull NIH13 Big Data13 to Knowledge (BD2K)hPpdatasciencenihgov need to anNcipateexploit13 it13 forNIDA research community and other stakeholders
bull The NIH13 plan for increasing data13 sharinghPpgrantsnihgovgrantsNIH-shy‐Public-shy‐Access-shy‐Planpdf
bull OpportuniNes for discovery validaNon increased analyNcalpower
bull Transparency and negaNve data13 repositorybull Electronic medical records efforts to create common data13
elements (in mulNple domains)
bull NIDA Big Data-shy‐related Projects and FOAs
Big Data13 Issues
bull Capture data13 dicNonaries ontologies commondata13 elements
bull Storage Cloud centralized decentralizeddiscoverability
bull File Formats unstructured data preprocessingmetadata13
bull Data13 CuraNon (who does this commercial service)
bull Transfer sharing security privacybull VisualizaNon analysis tools machine learning
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
Agenda
bull Workgroup Co-shy‐Chair and Member IntroducNonsbull Workgroup LogisNcsbull CommiPee ChargeGoalsbull Background and Context13 bull Big Data13 Issues Challenges and OpportuniNesbull Other AcNon Items (eg Workgroup Homework)bull 5 Minute Public Comment13 Periodbull Adjourn
Big Data WGMembersNAMEWORKGROUP CHAIRS
Roger LiPle PhDMassoud Vahabzadeh PhD
EXTRAMURAL WORKGROUP MEMBERS Christopher Chute MD DrPH Michael Neale PhDEric13 Nestler MD PhDMichael Milham MD PhDArthur Toga PhDMaryanne Martone13 PhD
NIH13 STAFFPhilip Bourne13 PhDMaureen Boyle PhDEricka13 Boone PhDUdi13 Ghitza PhDSteve Gust PhDVani Pariyadath PhDTom Radman PhDJoni RuPer PhDTisha Wiley PhD13
AFFILIATION
NIDANIDA
Johns Hopkins UniversityVirginia13 Commonwealth UniversityThe Mount13 Sinai HospitalChild Mind InsNtuteUniversity of Southern CaliforniaUniversity of California13 at San Diego
NIH13 Associate Director for Data13 Science
NIDANIDANIDANIDANIDANIDANIDANIDA
LogisGcs13
bull Workgroup members13 ndash Please dial in through the phone instead of usingyour computer speakers to improve the quality ofthe audio
ndash We will mute parNcipants as necessary to controlnoise Please unmute to speak
LogisGcs13
bull Non-shy‐workgroup members should remain muted unNlthe public comment13 periodndash If you have a comment13 or quesNon before then please feelfree to enter it13 into the chat13 box
bull The webinar will be recordedbull There is a note taker on the call and summaries willbe posed on the websitehPpwwwdrugabusegovabout-shy‐nidastrategic-shy‐plan
NIDA13 Strategic Planning
bull RFI13 released in December to solicit13 feedback from thefield on NIDArsquos dra strategic prioriNesndash Basic Neuroscience Improve our understanding of the basicscience of drug use addicNon vulnerability to addicNon andrecovery13
ndash Clinical and TranslaGonal Science Support13 the development13 ofnew and bePer intervenNons and treatments that13 incorporatethe diverse needs of individuals with Substance Use Disorders(SUDs)13
ndash Public13 Health Increase the public health impact13 of NIDAresearch and programs
ndash Science Infrastructure Enhance the naNonal researchinfrastructure to support13 advancements in science
bull Comment period closed January 30thhPpgrantsnihgovgrantsguidenoNce-shy‐filesNOT-shy‐DA-shy‐15-shy‐005html
UpdaGng the NIDA13 Strategic Plan
bull Next13 steps13 ndash Bold Goals Challenge Will award up to $10k in prizes fortop ideas
ndash Priority Area13 Workgroups will be formed to gather input13 from internal and external experts on cross divisionaltopics to develop strategic prioriNes for
bull Big Data13 bull Gene x Environment13 x Development13 interacNonsbull Complex paNents (mulNple comorbidiNes)
ndash Division strategic plans currently being developed
NIDA13 Strategic Planning Timeline
bull RFI13 ndash Closed Jan 30 2015ndash Review comments by Mar 6 2015
bull Priority Area13 Workgroupsndash February through July
bull Bold Goals Challengendash Winner selecNon by August13
bull Dra Strategic Plan out13 for public comment13 ndash Summer 2015
bull Final Strategic Planndash Fall 2015
Workgroup Charge
bull To develop recommendaNons on the best13 approachfor NIDA to uNlize Big Data13 to advance strategicprioriNes including data13 sharingaccess analysisvisualizaNon reproducibility negaNve data13 resource
bull Deliverable 3-shy‐5 page summary of recommendaNonson leveraging lsquoBig Datarsquo in the next13 5 years
bull CompleNon date by Friday June 26th
Workgroup Charge
bull The workgroup should also address these crosscuQng themes as appropriatendash Training needs (training of clinicians common theme in RFI13 comments)
ndash Addressing sex and gender issuesndash How to leverage technology advancesndash Leveraging innovaNons from other fields
Background and Context
bull NIH13 Big Data13 to Knowledge (BD2K)hPpdatasciencenihgov need to anNcipateexploit13 it13 forNIDA research community and other stakeholders
bull The NIH13 plan for increasing data13 sharinghPpgrantsnihgovgrantsNIH-shy‐Public-shy‐Access-shy‐Planpdf
bull OpportuniNes for discovery validaNon increased analyNcalpower
bull Transparency and negaNve data13 repositorybull Electronic medical records efforts to create common data13
elements (in mulNple domains)
bull NIDA Big Data-shy‐related Projects and FOAs
Big Data13 Issues
bull Capture data13 dicNonaries ontologies commondata13 elements
bull Storage Cloud centralized decentralizeddiscoverability
bull File Formats unstructured data preprocessingmetadata13
bull Data13 CuraNon (who does this commercial service)
bull Transfer sharing security privacybull VisualizaNon analysis tools machine learning
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
Big Data WGMembersNAMEWORKGROUP CHAIRS
Roger LiPle PhDMassoud Vahabzadeh PhD
EXTRAMURAL WORKGROUP MEMBERS Christopher Chute MD DrPH Michael Neale PhDEric13 Nestler MD PhDMichael Milham MD PhDArthur Toga PhDMaryanne Martone13 PhD
NIH13 STAFFPhilip Bourne13 PhDMaureen Boyle PhDEricka13 Boone PhDUdi13 Ghitza PhDSteve Gust PhDVani Pariyadath PhDTom Radman PhDJoni RuPer PhDTisha Wiley PhD13
AFFILIATION
NIDANIDA
Johns Hopkins UniversityVirginia13 Commonwealth UniversityThe Mount13 Sinai HospitalChild Mind InsNtuteUniversity of Southern CaliforniaUniversity of California13 at San Diego
NIH13 Associate Director for Data13 Science
NIDANIDANIDANIDANIDANIDANIDANIDA
LogisGcs13
bull Workgroup members13 ndash Please dial in through the phone instead of usingyour computer speakers to improve the quality ofthe audio
ndash We will mute parNcipants as necessary to controlnoise Please unmute to speak
LogisGcs13
bull Non-shy‐workgroup members should remain muted unNlthe public comment13 periodndash If you have a comment13 or quesNon before then please feelfree to enter it13 into the chat13 box
bull The webinar will be recordedbull There is a note taker on the call and summaries willbe posed on the websitehPpwwwdrugabusegovabout-shy‐nidastrategic-shy‐plan
NIDA13 Strategic Planning
bull RFI13 released in December to solicit13 feedback from thefield on NIDArsquos dra strategic prioriNesndash Basic Neuroscience Improve our understanding of the basicscience of drug use addicNon vulnerability to addicNon andrecovery13
ndash Clinical and TranslaGonal Science Support13 the development13 ofnew and bePer intervenNons and treatments that13 incorporatethe diverse needs of individuals with Substance Use Disorders(SUDs)13
ndash Public13 Health Increase the public health impact13 of NIDAresearch and programs
ndash Science Infrastructure Enhance the naNonal researchinfrastructure to support13 advancements in science
bull Comment period closed January 30thhPpgrantsnihgovgrantsguidenoNce-shy‐filesNOT-shy‐DA-shy‐15-shy‐005html
UpdaGng the NIDA13 Strategic Plan
bull Next13 steps13 ndash Bold Goals Challenge Will award up to $10k in prizes fortop ideas
ndash Priority Area13 Workgroups will be formed to gather input13 from internal and external experts on cross divisionaltopics to develop strategic prioriNes for
bull Big Data13 bull Gene x Environment13 x Development13 interacNonsbull Complex paNents (mulNple comorbidiNes)
ndash Division strategic plans currently being developed
NIDA13 Strategic Planning Timeline
bull RFI13 ndash Closed Jan 30 2015ndash Review comments by Mar 6 2015
bull Priority Area13 Workgroupsndash February through July
bull Bold Goals Challengendash Winner selecNon by August13
bull Dra Strategic Plan out13 for public comment13 ndash Summer 2015
bull Final Strategic Planndash Fall 2015
Workgroup Charge
bull To develop recommendaNons on the best13 approachfor NIDA to uNlize Big Data13 to advance strategicprioriNes including data13 sharingaccess analysisvisualizaNon reproducibility negaNve data13 resource
bull Deliverable 3-shy‐5 page summary of recommendaNonson leveraging lsquoBig Datarsquo in the next13 5 years
bull CompleNon date by Friday June 26th
Workgroup Charge
bull The workgroup should also address these crosscuQng themes as appropriatendash Training needs (training of clinicians common theme in RFI13 comments)
ndash Addressing sex and gender issuesndash How to leverage technology advancesndash Leveraging innovaNons from other fields
Background and Context
bull NIH13 Big Data13 to Knowledge (BD2K)hPpdatasciencenihgov need to anNcipateexploit13 it13 forNIDA research community and other stakeholders
bull The NIH13 plan for increasing data13 sharinghPpgrantsnihgovgrantsNIH-shy‐Public-shy‐Access-shy‐Planpdf
bull OpportuniNes for discovery validaNon increased analyNcalpower
bull Transparency and negaNve data13 repositorybull Electronic medical records efforts to create common data13
elements (in mulNple domains)
bull NIDA Big Data-shy‐related Projects and FOAs
Big Data13 Issues
bull Capture data13 dicNonaries ontologies commondata13 elements
bull Storage Cloud centralized decentralizeddiscoverability
bull File Formats unstructured data preprocessingmetadata13
bull Data13 CuraNon (who does this commercial service)
bull Transfer sharing security privacybull VisualizaNon analysis tools machine learning
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
LogisGcs13
bull Workgroup members13 ndash Please dial in through the phone instead of usingyour computer speakers to improve the quality ofthe audio
ndash We will mute parNcipants as necessary to controlnoise Please unmute to speak
LogisGcs13
bull Non-shy‐workgroup members should remain muted unNlthe public comment13 periodndash If you have a comment13 or quesNon before then please feelfree to enter it13 into the chat13 box
bull The webinar will be recordedbull There is a note taker on the call and summaries willbe posed on the websitehPpwwwdrugabusegovabout-shy‐nidastrategic-shy‐plan
NIDA13 Strategic Planning
bull RFI13 released in December to solicit13 feedback from thefield on NIDArsquos dra strategic prioriNesndash Basic Neuroscience Improve our understanding of the basicscience of drug use addicNon vulnerability to addicNon andrecovery13
ndash Clinical and TranslaGonal Science Support13 the development13 ofnew and bePer intervenNons and treatments that13 incorporatethe diverse needs of individuals with Substance Use Disorders(SUDs)13
ndash Public13 Health Increase the public health impact13 of NIDAresearch and programs
ndash Science Infrastructure Enhance the naNonal researchinfrastructure to support13 advancements in science
bull Comment period closed January 30thhPpgrantsnihgovgrantsguidenoNce-shy‐filesNOT-shy‐DA-shy‐15-shy‐005html
UpdaGng the NIDA13 Strategic Plan
bull Next13 steps13 ndash Bold Goals Challenge Will award up to $10k in prizes fortop ideas
ndash Priority Area13 Workgroups will be formed to gather input13 from internal and external experts on cross divisionaltopics to develop strategic prioriNes for
bull Big Data13 bull Gene x Environment13 x Development13 interacNonsbull Complex paNents (mulNple comorbidiNes)
ndash Division strategic plans currently being developed
NIDA13 Strategic Planning Timeline
bull RFI13 ndash Closed Jan 30 2015ndash Review comments by Mar 6 2015
bull Priority Area13 Workgroupsndash February through July
bull Bold Goals Challengendash Winner selecNon by August13
bull Dra Strategic Plan out13 for public comment13 ndash Summer 2015
bull Final Strategic Planndash Fall 2015
Workgroup Charge
bull To develop recommendaNons on the best13 approachfor NIDA to uNlize Big Data13 to advance strategicprioriNes including data13 sharingaccess analysisvisualizaNon reproducibility negaNve data13 resource
bull Deliverable 3-shy‐5 page summary of recommendaNonson leveraging lsquoBig Datarsquo in the next13 5 years
bull CompleNon date by Friday June 26th
Workgroup Charge
bull The workgroup should also address these crosscuQng themes as appropriatendash Training needs (training of clinicians common theme in RFI13 comments)
ndash Addressing sex and gender issuesndash How to leverage technology advancesndash Leveraging innovaNons from other fields
Background and Context
bull NIH13 Big Data13 to Knowledge (BD2K)hPpdatasciencenihgov need to anNcipateexploit13 it13 forNIDA research community and other stakeholders
bull The NIH13 plan for increasing data13 sharinghPpgrantsnihgovgrantsNIH-shy‐Public-shy‐Access-shy‐Planpdf
bull OpportuniNes for discovery validaNon increased analyNcalpower
bull Transparency and negaNve data13 repositorybull Electronic medical records efforts to create common data13
elements (in mulNple domains)
bull NIDA Big Data-shy‐related Projects and FOAs
Big Data13 Issues
bull Capture data13 dicNonaries ontologies commondata13 elements
bull Storage Cloud centralized decentralizeddiscoverability
bull File Formats unstructured data preprocessingmetadata13
bull Data13 CuraNon (who does this commercial service)
bull Transfer sharing security privacybull VisualizaNon analysis tools machine learning
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
LogisGcs13
bull Non-shy‐workgroup members should remain muted unNlthe public comment13 periodndash If you have a comment13 or quesNon before then please feelfree to enter it13 into the chat13 box
bull The webinar will be recordedbull There is a note taker on the call and summaries willbe posed on the websitehPpwwwdrugabusegovabout-shy‐nidastrategic-shy‐plan
NIDA13 Strategic Planning
bull RFI13 released in December to solicit13 feedback from thefield on NIDArsquos dra strategic prioriNesndash Basic Neuroscience Improve our understanding of the basicscience of drug use addicNon vulnerability to addicNon andrecovery13
ndash Clinical and TranslaGonal Science Support13 the development13 ofnew and bePer intervenNons and treatments that13 incorporatethe diverse needs of individuals with Substance Use Disorders(SUDs)13
ndash Public13 Health Increase the public health impact13 of NIDAresearch and programs
ndash Science Infrastructure Enhance the naNonal researchinfrastructure to support13 advancements in science
bull Comment period closed January 30thhPpgrantsnihgovgrantsguidenoNce-shy‐filesNOT-shy‐DA-shy‐15-shy‐005html
UpdaGng the NIDA13 Strategic Plan
bull Next13 steps13 ndash Bold Goals Challenge Will award up to $10k in prizes fortop ideas
ndash Priority Area13 Workgroups will be formed to gather input13 from internal and external experts on cross divisionaltopics to develop strategic prioriNes for
bull Big Data13 bull Gene x Environment13 x Development13 interacNonsbull Complex paNents (mulNple comorbidiNes)
ndash Division strategic plans currently being developed
NIDA13 Strategic Planning Timeline
bull RFI13 ndash Closed Jan 30 2015ndash Review comments by Mar 6 2015
bull Priority Area13 Workgroupsndash February through July
bull Bold Goals Challengendash Winner selecNon by August13
bull Dra Strategic Plan out13 for public comment13 ndash Summer 2015
bull Final Strategic Planndash Fall 2015
Workgroup Charge
bull To develop recommendaNons on the best13 approachfor NIDA to uNlize Big Data13 to advance strategicprioriNes including data13 sharingaccess analysisvisualizaNon reproducibility negaNve data13 resource
bull Deliverable 3-shy‐5 page summary of recommendaNonson leveraging lsquoBig Datarsquo in the next13 5 years
bull CompleNon date by Friday June 26th
Workgroup Charge
bull The workgroup should also address these crosscuQng themes as appropriatendash Training needs (training of clinicians common theme in RFI13 comments)
ndash Addressing sex and gender issuesndash How to leverage technology advancesndash Leveraging innovaNons from other fields
Background and Context
bull NIH13 Big Data13 to Knowledge (BD2K)hPpdatasciencenihgov need to anNcipateexploit13 it13 forNIDA research community and other stakeholders
bull The NIH13 plan for increasing data13 sharinghPpgrantsnihgovgrantsNIH-shy‐Public-shy‐Access-shy‐Planpdf
bull OpportuniNes for discovery validaNon increased analyNcalpower
bull Transparency and negaNve data13 repositorybull Electronic medical records efforts to create common data13
elements (in mulNple domains)
bull NIDA Big Data-shy‐related Projects and FOAs
Big Data13 Issues
bull Capture data13 dicNonaries ontologies commondata13 elements
bull Storage Cloud centralized decentralizeddiscoverability
bull File Formats unstructured data preprocessingmetadata13
bull Data13 CuraNon (who does this commercial service)
bull Transfer sharing security privacybull VisualizaNon analysis tools machine learning
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
NIDA13 Strategic Planning
bull RFI13 released in December to solicit13 feedback from thefield on NIDArsquos dra strategic prioriNesndash Basic Neuroscience Improve our understanding of the basicscience of drug use addicNon vulnerability to addicNon andrecovery13
ndash Clinical and TranslaGonal Science Support13 the development13 ofnew and bePer intervenNons and treatments that13 incorporatethe diverse needs of individuals with Substance Use Disorders(SUDs)13
ndash Public13 Health Increase the public health impact13 of NIDAresearch and programs
ndash Science Infrastructure Enhance the naNonal researchinfrastructure to support13 advancements in science
bull Comment period closed January 30thhPpgrantsnihgovgrantsguidenoNce-shy‐filesNOT-shy‐DA-shy‐15-shy‐005html
UpdaGng the NIDA13 Strategic Plan
bull Next13 steps13 ndash Bold Goals Challenge Will award up to $10k in prizes fortop ideas
ndash Priority Area13 Workgroups will be formed to gather input13 from internal and external experts on cross divisionaltopics to develop strategic prioriNes for
bull Big Data13 bull Gene x Environment13 x Development13 interacNonsbull Complex paNents (mulNple comorbidiNes)
ndash Division strategic plans currently being developed
NIDA13 Strategic Planning Timeline
bull RFI13 ndash Closed Jan 30 2015ndash Review comments by Mar 6 2015
bull Priority Area13 Workgroupsndash February through July
bull Bold Goals Challengendash Winner selecNon by August13
bull Dra Strategic Plan out13 for public comment13 ndash Summer 2015
bull Final Strategic Planndash Fall 2015
Workgroup Charge
bull To develop recommendaNons on the best13 approachfor NIDA to uNlize Big Data13 to advance strategicprioriNes including data13 sharingaccess analysisvisualizaNon reproducibility negaNve data13 resource
bull Deliverable 3-shy‐5 page summary of recommendaNonson leveraging lsquoBig Datarsquo in the next13 5 years
bull CompleNon date by Friday June 26th
Workgroup Charge
bull The workgroup should also address these crosscuQng themes as appropriatendash Training needs (training of clinicians common theme in RFI13 comments)
ndash Addressing sex and gender issuesndash How to leverage technology advancesndash Leveraging innovaNons from other fields
Background and Context
bull NIH13 Big Data13 to Knowledge (BD2K)hPpdatasciencenihgov need to anNcipateexploit13 it13 forNIDA research community and other stakeholders
bull The NIH13 plan for increasing data13 sharinghPpgrantsnihgovgrantsNIH-shy‐Public-shy‐Access-shy‐Planpdf
bull OpportuniNes for discovery validaNon increased analyNcalpower
bull Transparency and negaNve data13 repositorybull Electronic medical records efforts to create common data13
elements (in mulNple domains)
bull NIDA Big Data-shy‐related Projects and FOAs
Big Data13 Issues
bull Capture data13 dicNonaries ontologies commondata13 elements
bull Storage Cloud centralized decentralizeddiscoverability
bull File Formats unstructured data preprocessingmetadata13
bull Data13 CuraNon (who does this commercial service)
bull Transfer sharing security privacybull VisualizaNon analysis tools machine learning
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
UpdaGng the NIDA13 Strategic Plan
bull Next13 steps13 ndash Bold Goals Challenge Will award up to $10k in prizes fortop ideas
ndash Priority Area13 Workgroups will be formed to gather input13 from internal and external experts on cross divisionaltopics to develop strategic prioriNes for
bull Big Data13 bull Gene x Environment13 x Development13 interacNonsbull Complex paNents (mulNple comorbidiNes)
ndash Division strategic plans currently being developed
NIDA13 Strategic Planning Timeline
bull RFI13 ndash Closed Jan 30 2015ndash Review comments by Mar 6 2015
bull Priority Area13 Workgroupsndash February through July
bull Bold Goals Challengendash Winner selecNon by August13
bull Dra Strategic Plan out13 for public comment13 ndash Summer 2015
bull Final Strategic Planndash Fall 2015
Workgroup Charge
bull To develop recommendaNons on the best13 approachfor NIDA to uNlize Big Data13 to advance strategicprioriNes including data13 sharingaccess analysisvisualizaNon reproducibility negaNve data13 resource
bull Deliverable 3-shy‐5 page summary of recommendaNonson leveraging lsquoBig Datarsquo in the next13 5 years
bull CompleNon date by Friday June 26th
Workgroup Charge
bull The workgroup should also address these crosscuQng themes as appropriatendash Training needs (training of clinicians common theme in RFI13 comments)
ndash Addressing sex and gender issuesndash How to leverage technology advancesndash Leveraging innovaNons from other fields
Background and Context
bull NIH13 Big Data13 to Knowledge (BD2K)hPpdatasciencenihgov need to anNcipateexploit13 it13 forNIDA research community and other stakeholders
bull The NIH13 plan for increasing data13 sharinghPpgrantsnihgovgrantsNIH-shy‐Public-shy‐Access-shy‐Planpdf
bull OpportuniNes for discovery validaNon increased analyNcalpower
bull Transparency and negaNve data13 repositorybull Electronic medical records efforts to create common data13
elements (in mulNple domains)
bull NIDA Big Data-shy‐related Projects and FOAs
Big Data13 Issues
bull Capture data13 dicNonaries ontologies commondata13 elements
bull Storage Cloud centralized decentralizeddiscoverability
bull File Formats unstructured data preprocessingmetadata13
bull Data13 CuraNon (who does this commercial service)
bull Transfer sharing security privacybull VisualizaNon analysis tools machine learning
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
NIDA13 Strategic Planning Timeline
bull RFI13 ndash Closed Jan 30 2015ndash Review comments by Mar 6 2015
bull Priority Area13 Workgroupsndash February through July
bull Bold Goals Challengendash Winner selecNon by August13
bull Dra Strategic Plan out13 for public comment13 ndash Summer 2015
bull Final Strategic Planndash Fall 2015
Workgroup Charge
bull To develop recommendaNons on the best13 approachfor NIDA to uNlize Big Data13 to advance strategicprioriNes including data13 sharingaccess analysisvisualizaNon reproducibility negaNve data13 resource
bull Deliverable 3-shy‐5 page summary of recommendaNonson leveraging lsquoBig Datarsquo in the next13 5 years
bull CompleNon date by Friday June 26th
Workgroup Charge
bull The workgroup should also address these crosscuQng themes as appropriatendash Training needs (training of clinicians common theme in RFI13 comments)
ndash Addressing sex and gender issuesndash How to leverage technology advancesndash Leveraging innovaNons from other fields
Background and Context
bull NIH13 Big Data13 to Knowledge (BD2K)hPpdatasciencenihgov need to anNcipateexploit13 it13 forNIDA research community and other stakeholders
bull The NIH13 plan for increasing data13 sharinghPpgrantsnihgovgrantsNIH-shy‐Public-shy‐Access-shy‐Planpdf
bull OpportuniNes for discovery validaNon increased analyNcalpower
bull Transparency and negaNve data13 repositorybull Electronic medical records efforts to create common data13
elements (in mulNple domains)
bull NIDA Big Data-shy‐related Projects and FOAs
Big Data13 Issues
bull Capture data13 dicNonaries ontologies commondata13 elements
bull Storage Cloud centralized decentralizeddiscoverability
bull File Formats unstructured data preprocessingmetadata13
bull Data13 CuraNon (who does this commercial service)
bull Transfer sharing security privacybull VisualizaNon analysis tools machine learning
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
Workgroup Charge
bull To develop recommendaNons on the best13 approachfor NIDA to uNlize Big Data13 to advance strategicprioriNes including data13 sharingaccess analysisvisualizaNon reproducibility negaNve data13 resource
bull Deliverable 3-shy‐5 page summary of recommendaNonson leveraging lsquoBig Datarsquo in the next13 5 years
bull CompleNon date by Friday June 26th
Workgroup Charge
bull The workgroup should also address these crosscuQng themes as appropriatendash Training needs (training of clinicians common theme in RFI13 comments)
ndash Addressing sex and gender issuesndash How to leverage technology advancesndash Leveraging innovaNons from other fields
Background and Context
bull NIH13 Big Data13 to Knowledge (BD2K)hPpdatasciencenihgov need to anNcipateexploit13 it13 forNIDA research community and other stakeholders
bull The NIH13 plan for increasing data13 sharinghPpgrantsnihgovgrantsNIH-shy‐Public-shy‐Access-shy‐Planpdf
bull OpportuniNes for discovery validaNon increased analyNcalpower
bull Transparency and negaNve data13 repositorybull Electronic medical records efforts to create common data13
elements (in mulNple domains)
bull NIDA Big Data-shy‐related Projects and FOAs
Big Data13 Issues
bull Capture data13 dicNonaries ontologies commondata13 elements
bull Storage Cloud centralized decentralizeddiscoverability
bull File Formats unstructured data preprocessingmetadata13
bull Data13 CuraNon (who does this commercial service)
bull Transfer sharing security privacybull VisualizaNon analysis tools machine learning
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
Workgroup Charge
bull The workgroup should also address these crosscuQng themes as appropriatendash Training needs (training of clinicians common theme in RFI13 comments)
ndash Addressing sex and gender issuesndash How to leverage technology advancesndash Leveraging innovaNons from other fields
Background and Context
bull NIH13 Big Data13 to Knowledge (BD2K)hPpdatasciencenihgov need to anNcipateexploit13 it13 forNIDA research community and other stakeholders
bull The NIH13 plan for increasing data13 sharinghPpgrantsnihgovgrantsNIH-shy‐Public-shy‐Access-shy‐Planpdf
bull OpportuniNes for discovery validaNon increased analyNcalpower
bull Transparency and negaNve data13 repositorybull Electronic medical records efforts to create common data13
elements (in mulNple domains)
bull NIDA Big Data-shy‐related Projects and FOAs
Big Data13 Issues
bull Capture data13 dicNonaries ontologies commondata13 elements
bull Storage Cloud centralized decentralizeddiscoverability
bull File Formats unstructured data preprocessingmetadata13
bull Data13 CuraNon (who does this commercial service)
bull Transfer sharing security privacybull VisualizaNon analysis tools machine learning
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
Background and Context
bull NIH13 Big Data13 to Knowledge (BD2K)hPpdatasciencenihgov need to anNcipateexploit13 it13 forNIDA research community and other stakeholders
bull The NIH13 plan for increasing data13 sharinghPpgrantsnihgovgrantsNIH-shy‐Public-shy‐Access-shy‐Planpdf
bull OpportuniNes for discovery validaNon increased analyNcalpower
bull Transparency and negaNve data13 repositorybull Electronic medical records efforts to create common data13
elements (in mulNple domains)
bull NIDA Big Data-shy‐related Projects and FOAs
Big Data13 Issues
bull Capture data13 dicNonaries ontologies commondata13 elements
bull Storage Cloud centralized decentralizeddiscoverability
bull File Formats unstructured data preprocessingmetadata13
bull Data13 CuraNon (who does this commercial service)
bull Transfer sharing security privacybull VisualizaNon analysis tools machine learning
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
Big Data13 Issues
bull Capture data13 dicNonaries ontologies commondata13 elements
bull Storage Cloud centralized decentralizeddiscoverability
bull File Formats unstructured data preprocessingmetadata13
bull Data13 CuraNon (who does this commercial service)
bull Transfer sharing security privacybull VisualizaNon analysis tools machine learning
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
Big Data13 Challenges13 and OpportuniGes
bull What13 are the challenges and opportuniNesPrioriNze
bull What13 are potenNal new areas of researchPrioriNze
bull What13 isare the impact13 areas unique to NIDAresearch Addictomeorg
bull What13 are the training needsbull To take advantage of the new opportuniNes andareas that13 will be created by big data13 researchwhat13 should NIDA do
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
NIDADBNBR13 Awards13 13 by13 BD2K13 Topic13 Area13
(13 of13 Grants)13 (Total13 Funding)13
NOTE13 13 All13 projects13 and13 dollar13 values13 are13 for13 internal13 analysis13 purposes13 only13 13 Numbers13 are13 not13 final13 and13 are13 not13 subject13 to13 FOIA13 regulations13
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
NIH13 BD2K FOAsAnalysis Methods and Soware
Title Number Opening Date Closing Date
Big Data to Knowledge (BD2K) Advancing BiomedicalScience Using Crowdsourcing13 and InteracGve Digital13 Media (UH2)
RFA-shy‐CA-shy‐15-shy‐006 05032015 06302015
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R01)
PA-14-155 05022014 05082017
Extended13 Development13 Hardening13 andDisseminaGon of13 Technologies in BiomedicalCompuGng InformaGcs and Big Data Science (R01
PA-14-156 05052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R43R44)
PA-14-154 07052014 05082017
Early13 Stage Development13 of Technologies13 inBiomedical13 CompuGng13 InformaGcs13 an Big Data13 Science (R41R42)
PA-14-157 07052014 05082017
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015
Wrap Up
bull Other AcNon Itemsndash Workgroup Homeworkndash Other ItemsQuesNons
bull 5 Minute Public Comment13 Period
bull Adjourn
Next MeeGng ndash 200-shy‐300pm Wednesday April 22 2015