From ae0e98922b6f965ba92cf8428903de6149dcfd44 Mon Sep 17 00:00:00 2001 From: Bot <> Date: Sat, 2 Nov 2024 00:22:28 +0000 Subject: [PATCH] Update compiled data --- app/public/pdfs/Core Project OT2OD030160.pdf | Bin 168389 -> 168385 bytes app/public/pdfs/Core Project OT2OD030161.pdf | Bin 134739 -> 134737 bytes app/public/pdfs/Core Project OT2OD030162.pdf | Bin 134595 -> 134594 bytes app/public/pdfs/Core Project OT2OD030164.pdf | Bin 131921 -> 131919 bytes app/public/pdfs/Core Project OT2OD030544.pdf | Bin 201995 -> 201903 bytes app/public/pdfs/Core Project OT2OD030545.pdf | Bin 156748 -> 156746 bytes app/public/pdfs/Core Project OT2OD030546.pdf | Bin 137805 -> 137802 bytes app/public/pdfs/Core Project OT2OD030547.pdf | Bin 133851 -> 133847 bytes app/public/pdfs/Core Project OT2OD032092.pdf | Bin 131327 -> 131326 bytes app/public/pdfs/Core Project OT2OD032119.pdf | Bin 132361 -> 132360 bytes app/public/pdfs/Core Project OT2OD032619.pdf | Bin 133145 -> 133144 bytes app/public/pdfs/Core Project OT2OD036435.pdf | Bin 157244 -> 157240 bytes app/public/pdfs/Core Project OT2OD036440.pdf | Bin 163054 -> 163052 bytes app/public/pdfs/Core Project OT2OD037922.pdf | Bin 132752 -> 132750 bytes app/public/pdfs/Core Project OT2OD037936.pdf | Bin 132905 -> 132903 bytes app/public/pdfs/Core Project R03OD030596.pdf | Bin 133848 -> 133846 bytes app/public/pdfs/Core Project R03OD030597.pdf | Bin 137402 -> 137398 bytes app/public/pdfs/Core Project R03OD030598.pdf | Bin 135447 -> 135446 bytes app/public/pdfs/Core Project R03OD030599.pdf | Bin 133954 -> 133954 bytes app/public/pdfs/Core Project R03OD030600.pdf | Bin 130351 -> 130351 bytes app/public/pdfs/Core Project R03OD030601.pdf | Bin 135389 -> 135388 bytes app/public/pdfs/Core Project R03OD030602.pdf | Bin 132066 -> 132065 bytes app/public/pdfs/Core Project R03OD030603.pdf | Bin 152785 -> 152784 bytes app/public/pdfs/Core Project R03OD030604.pdf | Bin 162891 -> 162890 bytes app/public/pdfs/Core Project R03OD030605.pdf | Bin 130484 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-> 132298 bytes app/public/pdfs/Core Project R03OD036494.pdf | Bin 137893 -> 137890 bytes app/public/pdfs/Core Project R03OD036495.pdf | Bin 133895 -> 133893 bytes app/public/pdfs/Core Project R03OD036496.pdf | Bin 132900 -> 132900 bytes app/public/pdfs/Core Project R03OD036497.pdf | Bin 133360 -> 133358 bytes app/public/pdfs/Core Project R03OD036498.pdf | Bin 136857 -> 136854 bytes app/public/pdfs/Core Project R03OD036499.pdf | Bin 139300 -> 139299 bytes app/public/pdfs/Core Project R03OD038386.pdf | Bin 131896 -> 131895 bytes app/public/pdfs/Core Project R03OD038387.pdf | Bin 131318 -> 131317 bytes app/public/pdfs/Core Project R03OD038388.pdf | Bin 131786 -> 131785 bytes app/public/pdfs/Core Project R03OD038389.pdf | Bin 132905 -> 132905 bytes app/public/pdfs/Core Project R03OD038390.pdf | Bin 134181 -> 134181 bytes app/public/pdfs/Core Project R03OD038391.pdf | Bin 139883 -> 139880 bytes app/public/pdfs/Core Project R03OD038392.pdf | Bin 134261 -> 134261 bytes app/public/pdfs/Core Project R03OD038393.pdf | Bin 133352 -> 133352 bytes app/public/pdfs/Core Project U24OD038421.pdf | Bin 133390 -> 133388 bytes app/public/pdfs/Core Project U24OD038422.pdf | Bin 133593 -> 133592 bytes app/public/pdfs/Core Project U24OD038423.pdf | Bin 133462 -> 133462 bytes app/public/pdfs/Core Project U24OD038424.pdf | Bin 132727 -> 132726 bytes app/public/pdfs/Core Project U24OD038425.pdf | Bin 134096 -> 134096 bytes app/public/pdfs/Core Project U54OD036472.pdf | Bin 170248 -> 170131 bytes app/public/pdfs/Program.pdf | Bin 105541 -> 105539 bytes data/output/analytics.json | 56 +- data/output/core-projects.json | 14 +- data/output/opportunities.json | 8 +- data/output/projects.json | 122 ++-- data/output/publications.json | 6 +- data/output/repos.json | 9 +- data/raw/github-repo-details.json | 203 ++++-- data/raw/github-repos.json | 6 +- data/raw/google-analytics-data.json | 62 +- data/raw/icite.json | 6 +- data/raw/opportunities.json | 8 +- data/raw/reporter-projects.json | 678 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"Macintosh": 352, "iOS": 42, "Android": 9, "Linux": 7 diff --git a/data/output/core-projects.json b/data/output/core-projects.json index 6771dc94..ead0b57a 100644 --- a/data/output/core-projects.json +++ b/data/output/core-projects.json @@ -19,8 +19,8 @@ "3OT2OD030161-01S2", "3OT2OD030161-01S1", "1OT2OD030161-01", - "3OT2OD030161-01S3", "3OT2OD030161-01S4", + "3OT2OD030161-01S3", "3OT2OD030161-01S5" ], "awardAmount": 3153200, @@ -48,8 +48,8 @@ "1OT2OD030545-01", "3OT2OD030545-01S3", "3OT2OD030545-01S4", - "3OT2OD030545-01S1", "3OT2OD030545-01S2", + "3OT2OD030545-01S1", "3OT2OD030545-01S5" ], "awardAmount": 3089131, @@ -341,8 +341,8 @@ "projects": [ "3OT2OD030546-01S2", "3OT2OD030546-01S4", - "3OT2OD030546-01S1", "1OT2OD030546-01", + "3OT2OD030546-01S1", "3OT2OD030546-01S3" ], "awardAmount": 2460622, @@ -475,12 +475,12 @@ "name": "The LINCS DCIC Engagement Plan with the CFDE", "activityCode": "OT2", "projects": [ - "1OT2OD030160-01", "3OT2OD030160-01S2", + "1OT2OD030160-01", "3OT2OD030160-01S5", - "3OT2OD030160-01S1", + "3OT2OD030160-01S4", "3OT2OD030160-01S3", - "3OT2OD030160-01S4" + "3OT2OD030160-01S1" ], "awardAmount": 3420175, "publications": 14, @@ -714,8 +714,8 @@ "name": "Biomedical Data Commons Workbench (BDCW)", "activityCode": "OT2", "projects": [ - "3OT2OD030544-01S1", "1OT2OD030544-01", + "3OT2OD030544-01S1", "3OT2OD030544-01S3", "3OT2OD030544-01S2", "3OT2OD030544-01S4" diff --git a/data/output/opportunities.json b/data/output/opportunities.json index a7c6387d..4904a228 100644 --- a/data/output/opportunities.json +++ b/data/output/opportunities.json @@ -2,7 +2,7 @@ { "id": "RFA-RM-24-006", "prefix": "RFA", - "activityCode": "R03 Small Grant Program" + "activityCode": "" }, { "id": "OTA-24-005", @@ -27,17 +27,17 @@ { "id": "RFA-RM-23-014", "prefix": "RFA", - "activityCode": "R25 Education Projects" + "activityCode": "" }, { "id": "RFA-RM-23-013", "prefix": "RFA", - "activityCode": "U24 Resource-Related Research Projects Cooperative Agreements" + "activityCode": "" }, { "id": "RFA-RM-23-015", "prefix": "RFA", - "activityCode": "R03 Small Grant Program" + "activityCode": "" }, { "id": "RFA-RM-23-002", diff --git a/data/output/projects.json b/data/output/projects.json index c8b547c8..6b2c8718 100644 --- a/data/output/projects.json +++ b/data/output/projects.json @@ -52,29 +52,29 @@ "isActive": 1 }, { - "id": "3OT2OD030161-01S3", + "id": "3OT2OD030161-01S4", "coreProject": "OT2OD030161", "name": "GTEx engagement with the CFDE-CC and other DCCs towards building a data ecosystem spanning the Common Fund projects", "opportunity": "OTA-20-005", - "application": 10683507, - "awardAmount": 956227, + "application": 10905807, + "awardAmount": 779157, "activityCode": "OT2", "agencyCode": "NIH", "dateStart": "2020-09-23T12:09:00Z", - "dateEnd": "2023-09-22T12:09:00Z", + "dateEnd": "2024-09-22T12:09:00Z", "isActive": 0 }, { - "id": "3OT2OD030161-01S4", + "id": "3OT2OD030161-01S3", "coreProject": "OT2OD030161", "name": "GTEx engagement with the CFDE-CC and other DCCs towards building a data ecosystem spanning the Common Fund projects", "opportunity": "OTA-20-005", - "application": 10905807, - "awardAmount": 779157, + "application": 10683507, + "awardAmount": 956227, "activityCode": "OT2", "agencyCode": "NIH", "dateStart": "2020-09-23T12:09:00Z", - "dateEnd": "2024-09-22T12:09:00Z", + "dateEnd": "2023-09-22T12:09:00Z", "isActive": 0 }, { @@ -143,12 +143,12 @@ "isActive": 0 }, { - "id": "3OT2OD030545-01S1", + "id": "3OT2OD030545-01S2", "coreProject": "OT2OD030545", "name": "Amplifying the Value of HuBMAP Data Through Data Interoperability and Collaboration", "opportunity": "OTA-20-005", - "application": 10444351, - "awardAmount": 150000, + "application": 10468526, + "awardAmount": 500000, "activityCode": "OT2", "agencyCode": "NIH", "dateStart": "2020-09-25T12:09:00Z", @@ -156,12 +156,12 @@ "isActive": 0 }, { - "id": "3OT2OD030545-01S2", + "id": "3OT2OD030545-01S1", "coreProject": "OT2OD030545", "name": "Amplifying the Value of HuBMAP Data Through Data Interoperability and Collaboration", "opportunity": "OTA-20-005", - "application": 10468526, - "awardAmount": 500000, + "application": 10444351, + "awardAmount": 150000, "activityCode": "OT2", "agencyCode": "NIH", "dateStart": "2020-09-25T12:09:00Z", @@ -520,30 +520,30 @@ "isActive": 1 }, { - "id": "3OT2OD030546-01S1", + "id": "1OT2OD030546-01", "coreProject": "OT2OD030546", "name": "Illuminating the Druggable Genome Data Coordinating Center - Engagement Plan with the CFDE", "opportunity": "OTA-20-005", - "application": 10468527, - "awardAmount": 745261, + "application": 10217890, + "awardAmount": 447013, "activityCode": "OT2", "agencyCode": "NIH", "dateStart": "2020-09-23T12:09:00Z", - "dateEnd": "2023-09-22T12:09:00Z", - "isActive": 0 + "dateEnd": "2025-09-22T12:09:00Z", + "isActive": 1 }, { - "id": "1OT2OD030546-01", + "id": "3OT2OD030546-01S1", "coreProject": "OT2OD030546", "name": "Illuminating the Druggable Genome Data Coordinating Center - Engagement Plan with the CFDE", "opportunity": "OTA-20-005", - "application": 10217890, - "awardAmount": 447013, + "application": 10468527, + "awardAmount": 745261, "activityCode": "OT2", "agencyCode": "NIH", "dateStart": "2020-09-23T12:09:00Z", - "dateEnd": "2025-09-22T12:09:00Z", - "isActive": 1 + "dateEnd": "2023-09-22T12:09:00Z", + "isActive": 0 }, { "id": "3OT2OD030546-01S3", @@ -689,30 +689,30 @@ "isActive": 1 }, { - "id": "1OT2OD030160-01", + "id": "3OT2OD030160-01S2", "coreProject": "OT2OD030160", "name": "The LINCS DCIC Engagement Plan with the CFDE", "opportunity": "OTA-20-005", - "application": 10128125, - "awardAmount": 508500, + "application": 10468520, + "awardAmount": 676449, "activityCode": "OT2", "agencyCode": "NIH", "dateStart": "2020-09-23T12:09:00Z", - "dateEnd": "2025-09-22T12:09:00Z", - "isActive": 1 + "dateEnd": "2022-09-22T12:09:00Z", + "isActive": 0 }, { - "id": "3OT2OD030160-01S2", + "id": "1OT2OD030160-01", "coreProject": "OT2OD030160", "name": "The LINCS DCIC Engagement Plan with the CFDE", "opportunity": "OTA-20-005", - "application": 10468520, - "awardAmount": 676449, + "application": 10128125, + "awardAmount": 508500, "activityCode": "OT2", "agencyCode": "NIH", "dateStart": "2020-09-23T12:09:00Z", - "dateEnd": "2022-09-22T12:09:00Z", - "isActive": 0 + "dateEnd": "2025-09-22T12:09:00Z", + "isActive": 1 }, { "id": "3OT2OD036435-01S1", @@ -741,16 +741,16 @@ "isActive": 1 }, { - "id": "3OT2OD030160-01S1", + "id": "3OT2OD030160-01S4", "coreProject": "OT2OD030160", "name": "The LINCS DCIC Engagement Plan with the CFDE", "opportunity": "OTA-20-005", - "application": 10444350, - "awardAmount": 210000, + "application": 10837964, + "awardAmount": 1028946, "activityCode": "OT2", "agencyCode": "NIH", "dateStart": "2020-09-23T12:09:00Z", - "dateEnd": "2022-09-22T12:09:00Z", + "dateEnd": "2024-09-22T12:09:00Z", "isActive": 0 }, { @@ -766,6 +766,19 @@ "dateEnd": "2023-09-22T12:09:00Z", "isActive": 0 }, + { + "id": "3OT2OD030160-01S1", + "coreProject": "OT2OD030160", + "name": "The LINCS DCIC Engagement Plan with the CFDE", + "opportunity": "OTA-20-005", + "application": 10444350, + "awardAmount": 210000, + "activityCode": "OT2", + "agencyCode": "NIH", + "dateStart": "2020-09-23T12:09:00Z", + "dateEnd": "2022-09-22T12:09:00Z", + "isActive": 0 + }, { "id": "1OT2OD036435-01", "coreProject": "OT2OD036435", @@ -779,19 +792,6 @@ "dateEnd": "2028-09-17T12:09:00Z", "isActive": 1 }, - { - "id": "3OT2OD030160-01S4", - "coreProject": "OT2OD030160", - "name": "The LINCS DCIC Engagement Plan with the CFDE", - "opportunity": "OTA-20-005", - "application": 10837964, - "awardAmount": 1028946, - "activityCode": "OT2", - "agencyCode": "NIH", - "dateStart": "2020-09-23T12:09:00Z", - "dateEnd": "2024-09-22T12:09:00Z", - "isActive": 0 - }, { "id": "1R03OD032627-01", "coreProject": "R03OD032627", @@ -1222,30 +1222,30 @@ "isActive": 0 }, { - "id": "3OT2OD030544-01S1", + "id": "1OT2OD030544-01", "coreProject": "OT2OD030544", "name": "Biomedical Data Commons Workbench (BDCW)", "opportunity": "OTA-20-005", - "application": 10468524, - "awardAmount": 798176, + "application": 10217619, + "awardAmount": 500000, "activityCode": "OT2", "agencyCode": "NIH", "dateStart": "2020-09-23T12:09:00Z", - "dateEnd": "2023-09-22T12:09:00Z", - "isActive": 0 + "dateEnd": "2025-09-22T12:09:00Z", + "isActive": 1 }, { - "id": "1OT2OD030544-01", + "id": "3OT2OD030544-01S1", "coreProject": "OT2OD030544", "name": "Biomedical Data Commons Workbench (BDCW)", "opportunity": "OTA-20-005", - "application": 10217619, - "awardAmount": 500000, + "application": 10468524, + "awardAmount": 798176, "activityCode": "OT2", "agencyCode": "NIH", "dateStart": "2020-09-23T12:09:00Z", - "dateEnd": "2025-09-22T12:09:00Z", - "isActive": 1 + "dateEnd": "2023-09-22T12:09:00Z", + "isActive": 0 }, { "id": "3OT2OD030544-01S3", diff --git a/data/output/publications.json b/data/output/publications.json index 8a433c02..5321b2e2 100644 --- a/data/output/publications.json +++ b/data/output/publications.json @@ -418,7 +418,7 @@ ], "journal": "Nat Methods", "year": 2023, - "modified": "2024-10-28T05:49:59.000Z", + "modified": "2024-11-01T05:44:30.000Z", "doi": "10.1038/s41592-023-02012-9", "relativeCitationRatio": 3.62, "citations": 9, @@ -1931,7 +1931,7 @@ ], "journal": "Drug Deliv Transl Res", "year": 2024, - "modified": "2024-10-26T22:39:19.000Z", + "modified": "2024-11-01T05:46:57.000Z", "doi": "10.1007/s13346-024-01551-8", "relativeCitationRatio": 0, "citations": 0, @@ -3355,7 +3355,7 @@ ], "journal": "Nat Commun", "year": 2024, - "modified": "2024-10-26T22:55:28.000Z", + "modified": "2024-11-01T05:47:08.000Z", "doi": "10.1038/s41467-024-47514-y", "relativeCitationRatio": 0, "citations": 0, diff --git a/data/output/repos.json b/data/output/repos.json index 49790ac8..17062acc 100644 --- a/data/output/repos.json +++ b/data/output/repos.json @@ -405,7 +405,7 @@ "state": "open", "stateReason": null, "created": "2024-10-09T15:42:05Z", - "modified": "2024-10-09T15:42:14Z", + "modified": "2024-11-01T03:59:38Z", "closed": null, "labels": [ "enhancement" @@ -546,7 +546,7 @@ ], "openIssues": 7, "closedIssues": 9, - "issueTimeOpen": 4106608, + "issueTimeOpen": 4144343, "pullRequests": [ { "state": "closed", @@ -641,6 +641,7 @@ "closedPullRequests": 11, "pullRequestTimeOpen": 569241, "commits": [ + "2024-11-01T00:25:05Z", "2024-10-31T00:22:55Z", "2024-10-30T00:22:24Z", "2024-10-29T00:22:48Z", @@ -750,7 +751,7 @@ } ], "created": "2024-05-31T14:46:25Z", - "modified": "2024-10-31T00:22:57Z", + "modified": "2024-11-01T00:25:07Z", "license": "", "readme": true, "contributing": false, @@ -1209,7 +1210,7 @@ ], "openPullRequests": 2, "closedPullRequests": 49, - "pullRequestTimeOpen": 1481713, + "pullRequestTimeOpen": 1485095, "commits": [ "2024-10-16T15:46:23Z", "2024-10-16T15:45:14Z", diff --git a/data/raw/github-repo-details.json b/data/raw/github-repo-details.json index 1a4c9400..65b2e55c 100644 --- a/data/raw/github-repo-details.json +++ b/data/raw/github-repo-details.json @@ -11757,14 +11757,14 @@ "releases_url": "https://api.github.com/repos/nih-cfde/icc-eval-core/releases{/id}", "deployments_url": "https://api.github.com/repos/nih-cfde/icc-eval-core/deployments", "created_at": "2024-05-31T14:46:25Z", - "updated_at": "2024-10-31T00:23:01Z", - "pushed_at": "2024-10-31T00:22:57Z", + "updated_at": "2024-11-01T00:25:12Z", + "pushed_at": "2024-11-01T00:25:07Z", "git_url": "git://github.com/nih-cfde/icc-eval-core.git", "ssh_url": "git@github.com:nih-cfde/icc-eval-core.git", "clone_url": "https://github.com/nih-cfde/icc-eval-core.git", "svn_url": "https://github.com/nih-cfde/icc-eval-core", "homepage": "https://cfde-eval.netlify.app/", - "size": 47691, + "size": 48114, "stargazers_count": 1, "watchers_count": 1, "language": "TypeScript", @@ -12094,11 +12094,11 @@ "milestone": null, "comments": 0, "created_at": "2024-10-09T15:42:05Z", - "updated_at": "2024-10-09T15:42:14Z", + "updated_at": "2024-11-01T03:59:38Z", "closed_at": null, "author_association": "MEMBER", "active_lock_reason": null, - "body": "Links:\r\n\r\nhttps://fairshake.cloud/project/87/\r\nhttps://fairshake.cloud/rubric/25/\r\nhttps://github.com/FAIRMetrics/Metrics\r\nhttps://docs.nih-cfde.org/en/latest/the-fair-cookbook/content/recipes/Compliance/fairshake/\r\n\r\nNot sure how far we want to go with this. Also the instructions in the github readme are a little unclear... not sure how the API works, if it even is a real API.", + "body": "Links:\r\n\r\nhttps://fairshake.cloud/swagger/\r\nhttps://smart-api.info/ui/8113167e81987d36b707ae4aa795b17e\r\nhttps://fairshake.cloud/project/87/\r\nhttps://fairshake.cloud/rubric/25/\r\nhttps://github.com/FAIRMetrics/Metrics\r\nhttps://docs.nih-cfde.org/en/latest/the-fair-cookbook/content/recipes/Compliance/fairshake/\r\n\r\nNot sure how far we want to go with this. Also the instructions in the github readme are a little unclear... not sure how the API works, if it even is a real API.", "closed_by": null, "reactions": { "url": "https://api.github.com/repos/nih-cfde/icc-eval-core/issues/27/reactions", @@ -13792,14 +13792,14 @@ "releases_url": "https://api.github.com/repos/nih-cfde/icc-eval-core/releases{/id}", "deployments_url": "https://api.github.com/repos/nih-cfde/icc-eval-core/deployments", "created_at": "2024-05-31T14:46:25Z", - "updated_at": "2024-10-31T00:23:01Z", - "pushed_at": "2024-10-31T00:22:57Z", + "updated_at": "2024-11-01T00:25:12Z", + "pushed_at": "2024-11-01T00:25:07Z", "git_url": "git://github.com/nih-cfde/icc-eval-core.git", "ssh_url": "git@github.com:nih-cfde/icc-eval-core.git", "clone_url": "https://github.com/nih-cfde/icc-eval-core.git", "svn_url": "https://github.com/nih-cfde/icc-eval-core", "homepage": "https://cfde-eval.netlify.app/", - "size": 47691, + "size": 48114, "stargazers_count": 1, "watchers_count": 1, "language": "TypeScript", @@ -13921,14 +13921,14 @@ "releases_url": "https://api.github.com/repos/nih-cfde/icc-eval-core/releases{/id}", "deployments_url": "https://api.github.com/repos/nih-cfde/icc-eval-core/deployments", "created_at": "2024-05-31T14:46:25Z", - 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    ", + "pref_terms": "Address;Adult;Area;Benchmarking;Calendar;ChIP-seq;Child;Collaborations;Collection;Communities;Complex;DNA Methylation;DNA sequencing;Data;Data Analyses;Data Protection;Data Set;Deoxyribonuclease I;Development;Disease;Education and Outreach;Educational workshop;Enrollment;Exons;Funding;Gene Expression;Gene Expression Regulation;Generations;Genes;Genetic Variation;Genetic study;Genotype;Genotype-Tissue Expression Project;Goals;Histology;Histones;Human;Human BioMolecular Atlas Program;Hypersensitivity;Image;Inherited;Joints;Link;Mass Spectrum Analysis;Measurement;Metadata;Molecular;Normal tissue morphology;Organ;Paper;Pediatric Neoplasm;Play;Predisposition;Process;Production;Protein Isoforms;Proteomics;Publishing;Quantitative Trait Loci;RNA Sequences;RNA Splicing;Resources;Role;Sampling;Site;Testing;The Cancer Genome Atlas;Tissue Sample;Tissues;Training;Trans-Omics for Precision Medicine;Transcript;United States National Institutes of Health;Visualization;Work;analysis pipeline;biobank;cloud platform;cohort;computing resources;cost;data access;data ecosystem;data exploration;data resource;data tools;database of Genotypes and Phenotypes;exome;exome sequencing;experimental study;human tissue;insight;interest;large datasets;tool;transcriptome sequencing;tumor;whole genome", "abstract_text": "Detailed Engagement Plan\nThe National Institutes of Health Common Fund’s Genotype-Tissue Expression (GTEx) project was\nlaunched in 2010 with a goal of providing the scientific community with a resource for the study of human\ngene expression and regulation across multiple tissues, to specifically provide insights into the mechanisms\nof gene regulation and disease-related perturbations, and to further our understanding of the role that\ninherited genetic variation plays in susceptibility to complex diseases. The project enrolled 960 recently\ndeceased, adult donors and collected close to 49,000 tissue samples. Core data generation was\ncompleted at the end of 2017, with the primary data types including whole genome (WGS, 30X) and whole\nexome (WES, 100X) sequence data on all donors, and RNA-sequence data from at least 25,000 samples\nspanning 53 human tissues/organs. This dataset constitutes the largest multi-tissue RNA sequence data\nresource generated to date (a previous study of genetic effects on gene expression, TwinsUK/EUROBATS,\ngenerated ~2,700 RNA-seq samples from four accessible tissue sites). The GTEx resource also includes\na rich and well annotated collection of donor, sample, and experiment metadata. Furthermore, additional\nmolecular data types, aimed at enhancing the core data sets, are still being produced, including mass\nspectrometry-based proteomics, measurements of DNA methylation, histone marks (ChIP-seq), somatic\nDNA sequencing, and DNase I hypersensitivity sites.\nThe GTEx resource includes both protected-access and open-access data (Fig. 1). The protected-access\ndata include extensive sample, subject and technical metadata and raw sequence BAM files from RNAseq,\nwhole genome (WGS) and whole exome (WES) sequencing, ChIP-seq and m6A RNA-seq, as well as\nprotected data derived from these such as genotype calls in VCF format. An approved dbGaP application\nis required to obtain all protected-access data, including access to the raw sequence data, which are\naccessible on the AnVIL platform (on Google Cloud Platform; GCP). The GTEx data also include a large\namount of open-access data, such as gene and transcript expression quantifications, cis- and trans-expression\nand splicing QTLs, histology images of every tissue, some eGTEx data summaries, the sample\nbiobank, and a very limited set of de-identified sample and subject metadata. All of these public data are\navailable for download, and as interactive visualizations and summary tables on the GTEx portal.\nThe GTEx project has developed an extensive suite of tools and analysis pipelines that have been\nbenchmarked, optimized and implemented in GCP for the project (such as the RNA-seq alignment,\nquantification, and QC pipeline, and the QTL analysis pipeline). These pipelines were also selected by the\nTOPMed project to produce a harmonized resource of RNA sequence data across the large number of\ncohorts being sequenced for that project (>20,000 samples to date); our team was involved in initial\nbenchmarking and harmonization tests of our pipeline across TOPMed sequencing centers and are actively\ninvolved in ongoing data production and analyses. Moreover, very similar pipelines are used by the\nENCODE project, thus facilitating comparisons across large datasets that would be prohibitive in terms of\ncosts and computational resources in the absence of harmonized pipelines. We have also created\nnumerous visualizations developed specifically for the open access data on the GTEx portal. The GTEx\nproject has a very large user community: the GTEx data have the second largest number of Data Access\nRequests for protected data in dbGaP (behind TCGA), and it is the most frequently downloaded dbGaP\nproject. An even larger number of users access the data, tools and interactive visualizations on the GTEx\nportal: in the 2019 calendar year, the GTEx portal had 135,000 users (~12,000-18,000/month) worldwide,\nwith users spiking in October 2019 following the release of the V8 data. The GTEx consortium has published\nnumerous papers describing the dataset and analyses of the data, and two additional data releases are\nstill planned.", "project_title": "GTEx engagement with the CFDE-CC and other DCCs towards building a data ecosystem spanning the Common Fund projects", - "phr_text": "No Text", - "spending_categories_desc": "Data Science; Genetics; Human Genome; Precision Medicine", + "phr_text": "", + "spending_categories_desc": "Data Science; Genetics; Human Genome; Networking and Information Technology R&D (NITRD); Precision Medicine", "agency_code": "NIH", "covid_response": null, "arra_funded": "N", - "budget_start": "2022-09-23T12:09:00Z", - "budget_end": "2023-09-22T12:09:00Z", + "budget_start": "2023-09-23T12:09:00Z", + "budget_end": "2024-09-22T12:09:00Z", "cfda_code": "310", "funding_mechanism": "Other", - "direct_cost_amt": 956227, + "direct_cost_amt": 779157, "indirect_cost_amt": 0, - "project_detail_url": "https://reporter.nih.gov/project-details/10683507", - "date_added": "2022-09-24T04:09:44Z" + "project_detail_url": "https://reporter.nih.gov/project-details/10905807", + "date_added": "2023-09-23T04:09:17Z" }, { - "appl_id": 10905807, + "appl_id": 10683507, "subproject_id": null, - "fiscal_year": 2023, - "project_num": "3OT2OD030161-01S4", + "fiscal_year": 2022, + "project_num": "3OT2OD030161-01S3", "project_serial_num": "OD030161", "organization": { "org_name": "BROAD INSTITUTE, INC.", @@ -654,7 +655,7 @@ }, "award_type": "3", "activity_code": "OT2", - "award_amount": 779157, + "award_amount": 956227, "is_active": false, "project_num_split": { "appl_type_code": "3", @@ -662,8 +663,8 @@ "ic_code": "OD", "serial_num": "030161", "support_year": "01", - "full_support_year": "01S4", - "suffix_code": "S4" + "full_support_year": "01S3", + "suffix_code": "S3" }, "principal_investigators": [ { @@ -692,11 +693,11 @@ }, "agency_ic_fundings": [ { - "fy": 2023, + "fy": 2022, "code": "OD", "name": "NIH Office of the Director", "abbreviation": "OD", - "total_cost": 779157 + "total_cost": 956227 } ], "cong_dist": "MA-07", @@ -704,11 +705,10 @@ 4531, 276, 320, - 329, 3070 ], "project_start_date": "2020-09-23T12:09:00Z", - "project_end_date": "2024-09-22T12:09:00Z", + "project_end_date": "2023-09-22T12:09:00Z", "organization_type": { "name": "Research Institutes", "code": "20", @@ -723,27 +723,27 @@ "group_code": "99", "name": "ZOD1-SRC(99)" }, - "award_notice_date": "2023-09-15T12:09:00Z", + "award_notice_date": "2022-09-14T12:09:00Z", "is_new": false, "mechanism_code_dc": "OT", "core_project_num": "OT2OD030161", - "terms": "<21+ years old><0-11 years old>
    ", - "pref_terms": "Address;Adult;Area;Benchmarking;Calendar;ChIP-seq;Child;Collaborations;Collection;Communities;Complex;DNA Methylation;DNA sequencing;Data;Data Analyses;Data Protection;Data Set;Deoxyribonuclease I;Development;Disease;Education and Outreach;Educational workshop;Enrollment;Exons;Funding;Gene Expression;Gene Expression Regulation;Generations;Genes;Genetic Variation;Genetic study;Genotype;Genotype-Tissue Expression Project;Goals;Histology;Histones;Human;Human BioMolecular Atlas Program;Hypersensitivity;Image;Inherited;Joints;Link;Mass Spectrum Analysis;Measurement;Metadata;Molecular;Normal tissue morphology;Organ;Paper;Pediatric Neoplasm;Play;Predisposition;Process;Production;Protein Isoforms;Proteomics;Publishing;Quantitative Trait Loci;RNA Sequences;RNA Splicing;Resources;Role;Sampling;Site;Testing;The Cancer Genome Atlas;Tissue Sample;Tissues;Training;Trans-Omics for Precision Medicine;Transcript;United States National Institutes of Health;Visualization;Work;analysis pipeline;biobank;cloud platform;cohort;computing resources;cost;data access;data ecosystem;data exploration;data resource;data tools;database of Genotypes and Phenotypes;exome;exome sequencing;experimental study;human tissue;insight;interest;large datasets;tool;transcriptome sequencing;tumor;whole genome", + "terms": "", + "pref_terms": "Funding;Genotype-Tissue Expression Project;Text;data ecosystem", "abstract_text": "Detailed Engagement Plan\nThe National Institutes of Health Common Fund’s Genotype-Tissue Expression (GTEx) project was\nlaunched in 2010 with a goal of providing the scientific community with a resource for the study of human\ngene expression and regulation across multiple tissues, to specifically provide insights into the mechanisms\nof gene regulation and disease-related perturbations, and to further our understanding of the role that\ninherited genetic variation plays in susceptibility to complex diseases. The project enrolled 960 recently\ndeceased, adult donors and collected close to 49,000 tissue samples. Core data generation was\ncompleted at the end of 2017, with the primary data types including whole genome (WGS, 30X) and whole\nexome (WES, 100X) sequence data on all donors, and RNA-sequence data from at least 25,000 samples\nspanning 53 human tissues/organs. This dataset constitutes the largest multi-tissue RNA sequence data\nresource generated to date (a previous study of genetic effects on gene expression, TwinsUK/EUROBATS,\ngenerated ~2,700 RNA-seq samples from four accessible tissue sites). The GTEx resource also includes\na rich and well annotated collection of donor, sample, and experiment metadata. Furthermore, additional\nmolecular data types, aimed at enhancing the core data sets, are still being produced, including mass\nspectrometry-based proteomics, measurements of DNA methylation, histone marks (ChIP-seq), somatic\nDNA sequencing, and DNase I hypersensitivity sites.\nThe GTEx resource includes both protected-access and open-access data (Fig. 1). The protected-access\ndata include extensive sample, subject and technical metadata and raw sequence BAM files from RNAseq,\nwhole genome (WGS) and whole exome (WES) sequencing, ChIP-seq and m6A RNA-seq, as well as\nprotected data derived from these such as genotype calls in VCF format. An approved dbGaP application\nis required to obtain all protected-access data, including access to the raw sequence data, which are\naccessible on the AnVIL platform (on Google Cloud Platform; GCP). The GTEx data also include a large\namount of open-access data, such as gene and transcript expression quantifications, cis- and trans-expression\nand splicing QTLs, histology images of every tissue, some eGTEx data summaries, the sample\nbiobank, and a very limited set of de-identified sample and subject metadata. All of these public data are\navailable for download, and as interactive visualizations and summary tables on the GTEx portal.\nThe GTEx project has developed an extensive suite of tools and analysis pipelines that have been\nbenchmarked, optimized and implemented in GCP for the project (such as the RNA-seq alignment,\nquantification, and QC pipeline, and the QTL analysis pipeline). These pipelines were also selected by the\nTOPMed project to produce a harmonized resource of RNA sequence data across the large number of\ncohorts being sequenced for that project (>20,000 samples to date); our team was involved in initial\nbenchmarking and harmonization tests of our pipeline across TOPMed sequencing centers and are actively\ninvolved in ongoing data production and analyses. Moreover, very similar pipelines are used by the\nENCODE project, thus facilitating comparisons across large datasets that would be prohibitive in terms of\ncosts and computational resources in the absence of harmonized pipelines. We have also created\nnumerous visualizations developed specifically for the open access data on the GTEx portal. The GTEx\nproject has a very large user community: the GTEx data have the second largest number of Data Access\nRequests for protected data in dbGaP (behind TCGA), and it is the most frequently downloaded dbGaP\nproject. An even larger number of users access the data, tools and interactive visualizations on the GTEx\nportal: in the 2019 calendar year, the GTEx portal had 135,000 users (~12,000-18,000/month) worldwide,\nwith users spiking in October 2019 following the release of the V8 data. The GTEx consortium has published\nnumerous papers describing the dataset and analyses of the data, and two additional data releases are\nstill planned.", "project_title": "GTEx engagement with the CFDE-CC and other DCCs towards building a data ecosystem spanning the Common Fund projects", - "phr_text": "", - "spending_categories_desc": "Data Science; Genetics; Human Genome; Networking and Information Technology R&D (NITRD); Precision Medicine", + "phr_text": "No Text", + "spending_categories_desc": "Data Science; Genetics; Human Genome; Precision Medicine", "agency_code": "NIH", "covid_response": null, "arra_funded": "N", - "budget_start": "2023-09-23T12:09:00Z", - "budget_end": "2024-09-22T12:09:00Z", + "budget_start": "2022-09-23T12:09:00Z", + "budget_end": "2023-09-22T12:09:00Z", "cfda_code": "310", "funding_mechanism": "Other", - "direct_cost_amt": 779157, + "direct_cost_amt": 956227, "indirect_cost_amt": 0, - "project_detail_url": "https://reporter.nih.gov/project-details/10905807", - "date_added": "2023-09-23T04:09:17Z" + "project_detail_url": "https://reporter.nih.gov/project-details/10683507", + "date_added": "2022-09-24T04:09:44Z" }, { "appl_id": 11093232, @@ -1413,10 +1413,10 @@ "date_added": "2022-10-01T04:10:19Z" }, { - "appl_id": 10444351, + "appl_id": 10468526, "subproject_id": null, "fiscal_year": 2021, - "project_num": "3OT2OD030545-01S1", + "project_num": "3OT2OD030545-01S2", "project_serial_num": "OD030545", "organization": { "org_name": "CARNEGIE-MELLON UNIVERSITY", @@ -1447,7 +1447,7 @@ }, "award_type": "3", "activity_code": "OT2", - "award_amount": 150000, + "award_amount": 500000, "is_active": false, "project_num_split": { "appl_type_code": "3", @@ -1455,8 +1455,8 @@ "ic_code": "OD", "serial_num": "030545", "support_year": "01", - "full_support_year": "01S1", - "suffix_code": "S1" + "full_support_year": "01S2", + "suffix_code": "S2" }, "principal_investigators": [ { @@ -1507,7 +1507,7 @@ "code": "OD", "name": "NIH Office of the Director", "abbreviation": "OD", - "total_cost": 150000 + "total_cost": 500000 } ], "cong_dist": "PA-12", @@ -1528,7 +1528,7 @@ "group_code": "99", "name": "ZOD1-SRC(99)" }, - "award_notice_date": "2021-07-26T12:07:00Z", + "award_notice_date": "2021-09-16T12:09:00Z", "is_new": false, "mechanism_code_dc": "OT", "core_project_num": "OT2OD030545", @@ -1541,20 +1541,20 @@ "agency_code": "NIH", "covid_response": null, "arra_funded": "N", - "budget_start": "2021-07-07T12:07:00Z", - "budget_end": "2022-06-30T12:06:00Z", + "budget_start": "2021-09-25T12:09:00Z", + "budget_end": "2022-09-24T12:09:00Z", "cfda_code": "310", "funding_mechanism": "Other", - "direct_cost_amt": 150000, + "direct_cost_amt": 500000, "indirect_cost_amt": null, - "project_detail_url": "https://reporter.nih.gov/project-details/10444351", - "date_added": "2021-07-31T04:07:26Z" + "project_detail_url": "https://reporter.nih.gov/project-details/10468526", + "date_added": "2021-09-25T04:09:53Z" }, { - "appl_id": 10468526, + "appl_id": 10444351, "subproject_id": null, "fiscal_year": 2021, - "project_num": "3OT2OD030545-01S2", + "project_num": "3OT2OD030545-01S1", "project_serial_num": "OD030545", "organization": { "org_name": "CARNEGIE-MELLON UNIVERSITY", @@ -1585,7 +1585,7 @@ }, "award_type": "3", "activity_code": "OT2", - "award_amount": 500000, + "award_amount": 150000, "is_active": false, "project_num_split": { "appl_type_code": "3", @@ -1593,8 +1593,8 @@ "ic_code": "OD", "serial_num": "030545", "support_year": "01", - "full_support_year": "01S2", - "suffix_code": "S2" + "full_support_year": "01S1", + "suffix_code": "S1" }, "principal_investigators": [ { @@ -1645,7 +1645,7 @@ "code": "OD", "name": "NIH Office of the Director", "abbreviation": "OD", - "total_cost": 500000 + "total_cost": 150000 } ], "cong_dist": "PA-12", @@ -1666,7 +1666,7 @@ "group_code": "99", "name": "ZOD1-SRC(99)" }, - "award_notice_date": "2021-09-16T12:09:00Z", + "award_notice_date": "2021-07-26T12:07:00Z", "is_new": false, "mechanism_code_dc": "OT", "core_project_num": "OT2OD030545", @@ -1679,14 +1679,14 @@ "agency_code": "NIH", "covid_response": null, "arra_funded": "N", - "budget_start": "2021-09-25T12:09:00Z", - "budget_end": "2022-09-24T12:09:00Z", + "budget_start": "2021-07-07T12:07:00Z", + "budget_end": "2022-06-30T12:06:00Z", "cfda_code": "310", "funding_mechanism": "Other", - "direct_cost_amt": 500000, + "direct_cost_amt": 150000, "indirect_cost_amt": null, - "project_detail_url": "https://reporter.nih.gov/project-details/10468526", - "date_added": "2021-09-25T04:09:53Z" + "project_detail_url": "https://reporter.nih.gov/project-details/10444351", + "date_added": "2021-07-31T04:07:26Z" }, { "appl_id": 10907962, @@ -5435,10 +5435,10 @@ "date_added": "2024-09-28T04:09:47Z" }, { - "appl_id": 10468527, + "appl_id": 10217890, "subproject_id": null, - "fiscal_year": 2021, - "project_num": "3OT2OD030546-01S1", + "fiscal_year": 2020, + "project_num": "1OT2OD030546-01", "project_serial_num": "OD030546", "organization": { "org_name": "UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR", @@ -5463,18 +5463,18 @@ "org_zipcode": "871310001", "external_org_id": 10021612 }, - "award_type": "3", + "award_type": "1", "activity_code": "OT2", - "award_amount": 745261, - "is_active": false, + "award_amount": 447013, + "is_active": true, "project_num_split": { - "appl_type_code": "3", + "appl_type_code": "1", "activity_code": "OT2", "ic_code": "OD", "serial_num": "030546", "support_year": "01", - "full_support_year": "01S1", - "suffix_code": "S1" + "full_support_year": "01", + "suffix_code": "" }, "principal_investigators": [ { @@ -5487,13 +5487,13 @@ "title": "PROFESSOR" }, { - "profile_id": 7869507, - "first_name": "Avi", - "middle_name": "", - "last_name": "Ma'ayan", + "profile_id": 10452890, + "first_name": "Jeremy", + "middle_name": "Joseph", + "last_name": "Yang", "is_contact_pi": false, - "full_name": "Avi Ma'ayan", - "title": "" + "full_name": "Jeremy Joseph Yang", + "title": "RESEARCH ASSOCIATE PROFESSOR" } ], "contact_pi_name": "LAMBERT, CHRISTOPHE G.", @@ -5512,17 +5512,20 @@ }, "agency_ic_fundings": [ { - "fy": 2021, + "fy": 2020, "code": "OD", "name": "NIH Office of the Director", "abbreviation": "OD", - "total_cost": 745261 + "total_cost": 447013 } ], "cong_dist": "NM-01", - "spending_categories": null, + "spending_categories": [ + 276, + 320 + ], "project_start_date": "2020-09-23T12:09:00Z", - "project_end_date": "2023-09-22T12:09:00Z", + "project_end_date": "2025-09-22T12:09:00Z", "organization_type": { "name": "SCHOOLS OF MEDICINE", "code": "10", @@ -5537,33 +5540,33 @@ "group_code": "99", "name": "ZOD1-SRC(99)" }, - "award_notice_date": "2021-09-17T12:09:00Z", + "award_notice_date": "2020-09-23T12:09:00Z", "is_new": false, "mechanism_code_dc": "OT", "core_project_num": "OT2OD030546", - "terms": null, - "pref_terms": null, + "terms": "", + "pref_terms": "Area;Biological;Chemicals;Clinical;Communities;Complex;Data;Data Coordinating Center;Data Set;Databases;Disease;Ensure;FAIR principles;Family;Feedback;Funding;G-Protein-Coupled Receptors;Gene Proteins;Generations;Genes;Genome;Genotype;Genotype-Tissue Expression Project;Goals;Information Resources Management;Investments;Ion Channel Protein;Manuals;Mutation;Pathology;Pathway interactions;Phenotype;Protein Kinase;Proteins;Proteome;Resources;Risk;Source;Structure;Technology;Update;data resource;design;differential expression;gene function;genetic variant;genome resource;human disease;improved;knowledge base;member;multiple data types;new therapeutic target;programs;repository", "abstract_text": "The Illuminating the Druggable Genome (IDG) consortium has two major goals: First, consolidate disparate\nprotein- and disease-centric data types from multiple sources, integrate and harmonize them, then make them\nreadily available to the public; Second, adapt and scale existing technologies to unveil the function of selected\nunderstudied members of the G-protein coupled receptor, ion channel and protein kinase families. Within the\nIDG, the Knowledge Management Center (IDG-KMC) integrates data from a wide range of chemical, biological\nand clinical resources, and has developed platforms that can be used to navigate understudied proteins (the\n“dark genome”), and their potential contribution to specific pathologies. Specifically, the IDG KMC is creating\nautomated workflows to capture relevant public data for the entire proteome including manual annotations for\nthe IDG list, covering five major areas: genotype, phenotype, expression, structure & function, and interactions\n& pathways. The IDG KMC designs, develops, implements, and updates the Target Central Repository Database\n(TCRD), a protein knowledgebase. The IDG KMC also expands, improves, and maintains Pharos, the TCRD\nportal, with support for automated data summaries, and active community feedback. Both TCRD and Pharos\nalready integrate data from three Common Fund projects: GTEx, IMPC/KOMP and LINCS. The IDG KMC\nconsolidates all the data generated by the Data and Resource Generation Centers (DRGCs), improving these\ndata findability, accessibility, interoperability, reusability (FAIRness) and serving these data on the Pharos portal.\nThe IDG program interface with the CFDE will enable hypothesis generation about novel drug targets for complex\ndiseases. Many other Common Fund (CF) programs produce data about genetic variants and differentially\nexpressed genes and proteins in the context of many complex human diseases. These genes in many cases do\nnot have much information about them. For example, the CF program Undiagnosed Disease Network (UDN)\nidentifies mutations in genes associated with undiagnosed diseases. The IDG-KMC has information from\nempirical evidence and from computational predictions about the function of these genes, which are commonly\nunder-studied. Hence, data from the IDG-KMC can enrich the CFDE users who examine datasets that list genes\nand proteins. Several IDG resources provide gene landing pages that provide unique information about genes.\nThese landing pages can be improved regarding FAIRness and can become a resource for the CFDE. In\naddition, data collected by the DRGCs and by the R03 IDG awardees can enrich the content of the CFDE portal. In\nparticular, results from the R03 projects (Fig. 1) are currently not evaluated or stored in one place and are at risk\nof becoming lost. The CFDE engagement will ensure that data from this investment remains available long term.", "project_title": "Illuminating the Druggable Genome Data Coordinating Center - Engagement Plan with the CFDE", - "phr_text": "", - "spending_categories_desc": null, + "phr_text": null, + "spending_categories_desc": "Genetics; Human Genome", "agency_code": "NIH", "covid_response": null, "arra_funded": "N", - "budget_start": "2021-09-23T12:09:00Z", - "budget_end": "2022-09-22T12:09:00Z", + "budget_start": "2020-09-23T12:09:00Z", + "budget_end": "2025-09-22T12:09:00Z", "cfda_code": "310", "funding_mechanism": "Other", - "direct_cost_amt": 745261, - "indirect_cost_amt": 0, - "project_detail_url": "https://reporter.nih.gov/project-details/10468527", - "date_added": "2021-09-25T04:09:53Z" + "direct_cost_amt": 365128, + "indirect_cost_amt": 81885, + "project_detail_url": "https://reporter.nih.gov/project-details/10217890", + "date_added": "2020-09-26T07:09:48Z" }, { - "appl_id": 10217890, + "appl_id": 10468527, "subproject_id": null, - "fiscal_year": 2020, - "project_num": "1OT2OD030546-01", + "fiscal_year": 2021, + "project_num": "3OT2OD030546-01S1", "project_serial_num": "OD030546", "organization": { "org_name": "UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR", @@ -5588,18 +5591,18 @@ "org_zipcode": "871310001", "external_org_id": 10021612 }, - "award_type": "1", + "award_type": "3", "activity_code": "OT2", - "award_amount": 447013, - "is_active": true, + "award_amount": 745261, + "is_active": false, "project_num_split": { - "appl_type_code": "1", + "appl_type_code": "3", "activity_code": "OT2", "ic_code": "OD", "serial_num": "030546", "support_year": "01", - "full_support_year": "01", - "suffix_code": "" + "full_support_year": "01S1", + "suffix_code": "S1" }, "principal_investigators": [ { @@ -5612,13 +5615,13 @@ "title": "PROFESSOR" }, { - "profile_id": 10452890, - "first_name": "Jeremy", - "middle_name": "Joseph", - "last_name": "Yang", + "profile_id": 7869507, + "first_name": "Avi", + "middle_name": "", + "last_name": "Ma'ayan", "is_contact_pi": false, - "full_name": "Jeremy Joseph Yang", - "title": "RESEARCH ASSOCIATE PROFESSOR" + "full_name": "Avi Ma'ayan", + "title": "" } ], "contact_pi_name": "LAMBERT, CHRISTOPHE G.", @@ -5637,20 +5640,17 @@ }, "agency_ic_fundings": [ { - "fy": 2020, + "fy": 2021, "code": "OD", "name": "NIH Office of the Director", "abbreviation": "OD", - "total_cost": 447013 + "total_cost": 745261 } ], "cong_dist": "NM-01", - "spending_categories": [ - 276, - 320 - ], + "spending_categories": null, "project_start_date": "2020-09-23T12:09:00Z", - "project_end_date": "2025-09-22T12:09:00Z", + "project_end_date": "2023-09-22T12:09:00Z", "organization_type": { "name": "SCHOOLS OF MEDICINE", "code": "10", @@ -5665,27 +5665,27 @@ "group_code": "99", "name": "ZOD1-SRC(99)" }, - "award_notice_date": "2020-09-23T12:09:00Z", + "award_notice_date": "2021-09-17T12:09:00Z", "is_new": false, "mechanism_code_dc": "OT", "core_project_num": "OT2OD030546", - "terms": "", - "pref_terms": "Area;Biological;Chemicals;Clinical;Communities;Complex;Data;Data Coordinating Center;Data Set;Databases;Disease;Ensure;FAIR principles;Family;Feedback;Funding;G-Protein-Coupled Receptors;Gene Proteins;Generations;Genes;Genome;Genotype;Genotype-Tissue Expression Project;Goals;Information Resources Management;Investments;Ion Channel Protein;Manuals;Mutation;Pathology;Pathway interactions;Phenotype;Protein Kinase;Proteins;Proteome;Resources;Risk;Source;Structure;Technology;Update;data resource;design;differential expression;gene function;genetic variant;genome resource;human disease;improved;knowledge base;member;multiple data types;new therapeutic target;programs;repository", + "terms": null, + "pref_terms": null, "abstract_text": "The Illuminating the Druggable Genome (IDG) consortium has two major goals: First, consolidate disparate\nprotein- and disease-centric data types from multiple sources, integrate and harmonize them, then make them\nreadily available to the public; Second, adapt and scale existing technologies to unveil the function of selected\nunderstudied members of the G-protein coupled receptor, ion channel and protein kinase families. Within the\nIDG, the Knowledge Management Center (IDG-KMC) integrates data from a wide range of chemical, biological\nand clinical resources, and has developed platforms that can be used to navigate understudied proteins (the\n“dark genome”), and their potential contribution to specific pathologies. Specifically, the IDG KMC is creating\nautomated workflows to capture relevant public data for the entire proteome including manual annotations for\nthe IDG list, covering five major areas: genotype, phenotype, expression, structure & function, and interactions\n& pathways. The IDG KMC designs, develops, implements, and updates the Target Central Repository Database\n(TCRD), a protein knowledgebase. The IDG KMC also expands, improves, and maintains Pharos, the TCRD\nportal, with support for automated data summaries, and active community feedback. Both TCRD and Pharos\nalready integrate data from three Common Fund projects: GTEx, IMPC/KOMP and LINCS. The IDG KMC\nconsolidates all the data generated by the Data and Resource Generation Centers (DRGCs), improving these\ndata findability, accessibility, interoperability, reusability (FAIRness) and serving these data on the Pharos portal.\nThe IDG program interface with the CFDE will enable hypothesis generation about novel drug targets for complex\ndiseases. Many other Common Fund (CF) programs produce data about genetic variants and differentially\nexpressed genes and proteins in the context of many complex human diseases. These genes in many cases do\nnot have much information about them. For example, the CF program Undiagnosed Disease Network (UDN)\nidentifies mutations in genes associated with undiagnosed diseases. The IDG-KMC has information from\nempirical evidence and from computational predictions about the function of these genes, which are commonly\nunder-studied. Hence, data from the IDG-KMC can enrich the CFDE users who examine datasets that list genes\nand proteins. Several IDG resources provide gene landing pages that provide unique information about genes.\nThese landing pages can be improved regarding FAIRness and can become a resource for the CFDE. In\naddition, data collected by the DRGCs and by the R03 IDG awardees can enrich the content of the CFDE portal. In\nparticular, results from the R03 projects (Fig. 1) are currently not evaluated or stored in one place and are at risk\nof becoming lost. The CFDE engagement will ensure that data from this investment remains available long term.", "project_title": "Illuminating the Druggable Genome Data Coordinating Center - Engagement Plan with the CFDE", - "phr_text": null, - "spending_categories_desc": "Genetics; Human Genome", + "phr_text": "", + "spending_categories_desc": null, "agency_code": "NIH", "covid_response": null, "arra_funded": "N", - "budget_start": "2020-09-23T12:09:00Z", - "budget_end": "2025-09-22T12:09:00Z", + "budget_start": "2021-09-23T12:09:00Z", + "budget_end": "2022-09-22T12:09:00Z", "cfda_code": "310", "funding_mechanism": "Other", - "direct_cost_amt": 365128, - "indirect_cost_amt": 81885, - "project_detail_url": "https://reporter.nih.gov/project-details/10217890", - "date_added": "2020-09-26T07:09:48Z" + "direct_cost_amt": 745261, + "indirect_cost_amt": 0, + "project_detail_url": "https://reporter.nih.gov/project-details/10468527", + "date_added": "2021-09-25T04:09:53Z" }, { "appl_id": 10907966, @@ -7083,10 +7083,10 @@ "date_added": "2024-09-07T04:09:48Z" }, { - "appl_id": 10128125, + "appl_id": 10468520, "subproject_id": null, - "fiscal_year": 2020, - "project_num": "1OT2OD030160-01", + "fiscal_year": 2021, + "project_num": "3OT2OD030160-01S2", "project_serial_num": "OD030160", "organization": { "org_name": "ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI", @@ -7111,18 +7111,18 @@ "org_zipcode": "100296574", "external_org_id": 3839801 }, - "award_type": "1", + "award_type": "3", "activity_code": "OT2", - "award_amount": 508500, - "is_active": true, + "award_amount": 676449, + "is_active": false, "project_num_split": { - "appl_type_code": "1", + "appl_type_code": "3", "activity_code": "OT2", "ic_code": "OD", "serial_num": "030160", "support_year": "01", - "full_support_year": "01", - "suffix_code": "" + "full_support_year": "01S2", + "suffix_code": "S2" }, "principal_investigators": [ { @@ -7151,21 +7151,17 @@ }, "agency_ic_fundings": [ { - "fy": 2020, + "fy": 2021, "code": "OD", "name": "NIH Office of the Director", "abbreviation": "OD", - "total_cost": 508500 + "total_cost": 676449 } ], "cong_dist": "NY-13", - "spending_categories": [ - 4531, - 276, - 320 - ], + "spending_categories": null, "project_start_date": "2020-09-23T12:09:00Z", - "project_end_date": "2025-09-22T12:09:00Z", + "project_end_date": "2022-09-22T12:09:00Z", "organization_type": { "name": "SCHOOLS OF MEDICINE", "code": "10", @@ -7180,33 +7176,33 @@ "group_code": "99", "name": "ZOD1-SRC(99)" }, - "award_notice_date": "2020-09-18T12:09:00Z", + "award_notice_date": "2021-09-15T12:09:00Z", "is_new": false, "mechanism_code_dc": "OT", "core_project_num": "OT2OD030160", - "terms": "