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NIDA Big Data Strategic Planning Workgroup April 10, 2015 Co-Chairs: Roger LiPle, Ph.D. (NIDA) Massoud Vahabzadeh, Ph.D. (NIDA)

NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

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Page 1: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

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

Page 2: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

        

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

Page 3: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

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

Page 4: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

  

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

Page 5: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

  

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

Page 6: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

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

Page 7: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

  

   

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

Page 8: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

  

  

  

  

  

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

Page 9: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

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

Page 10: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

   

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

Page 11: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

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

Page 12: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

   

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

Page 13: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

  

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

Page 14: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

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

Page 15: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

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

Page 16: NIDA Big Data Strategic Planning Workgrup presentation · Big Data WG Members NAME WORKGROUP CHAIRS Roger LiPle, PhD Massoud Vahabzadeh, PhD. EXTRAMURAL WORKGROUP MEMBERS Christopher

   

  

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