Changes
On June 8, 2023 at 5:37:23 PM UTC, ib1_emmanuel:
-
Added resource WBA 2021 Food and Agriculture Benchmark Dataset to WBA 2021 Food and Agriculture Benchmark Dataset
f | 1 | { | f | 1 | { |
2 | "author": "World Benchmarking Alliance (WBA)", | 2 | "author": "World Benchmarking Alliance (WBA)", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "34121670-aff6-4feb-ba3f-4ed3d7d8b59e", | 4 | "creator_user_id": "34121670-aff6-4feb-ba3f-4ed3d7d8b59e", | ||
5 | "groups": [], | 5 | "groups": [], | ||
6 | "ib1_creator_name": "ib1_emmanuel", | 6 | "ib1_creator_name": "ib1_emmanuel", | ||
7 | "ib1_sensitivity_class": "", | 7 | "ib1_sensitivity_class": "", | ||
8 | "ib1_shared": "Open", | 8 | "ib1_shared": "Open", | ||
9 | "id": "f042b837-7ce8-4d62-8322-004cc4c723db", | 9 | "id": "f042b837-7ce8-4d62-8322-004cc4c723db", | ||
10 | "isopen": false, | 10 | "isopen": false, | ||
11 | "license_id": "notspecified", | 11 | "license_id": "notspecified", | ||
12 | "license_title": "License not specified", | 12 | "license_title": "License not specified", | ||
13 | "maintainer": "", | 13 | "maintainer": "", | ||
14 | "maintainer_email": "", | 14 | "maintainer_email": "", | ||
15 | "metadata_created": "2023-06-08T17:36:38.219667", | 15 | "metadata_created": "2023-06-08T17:36:38.219667", | ||
n | 16 | "metadata_modified": "2023-06-08T17:36:38.219674", | n | 16 | "metadata_modified": "2023-06-08T17:37:22.866767", |
17 | "name": "wba-2021-food-and-agriculture-benchmark-dataset", | 17 | "name": "wba-2021-food-and-agriculture-benchmark-dataset", | ||
18 | "notes": "In 2021, WBA launched the first Food and Agriculture | 18 | "notes": "In 2021, WBA launched the first Food and Agriculture | ||
19 | Benchmark, assessing and ranking 350 of the world\u2019s most | 19 | Benchmark, assessing and ranking 350 of the world\u2019s most | ||
20 | influential food and agriculture companies.These companies were | 20 | influential food and agriculture companies.These companies were | ||
21 | assessed using the 2021 Methodology for the Food and Agriculture | 21 | assessed using the 2021 Methodology for the Food and Agriculture | ||
22 | Benchmark, which includes 45 indicators distributed across four | 22 | Benchmark, which includes 45 indicators distributed across four | ||
23 | measurement areas of governance and strategy, environment, nutrition | 23 | measurement areas of governance and strategy, environment, nutrition | ||
24 | and social inclusion.2022, WBA published the first iteration of the | 24 | and social inclusion.2022, WBA published the first iteration of the | ||
25 | Nature Benchmark, assessing close to 400 of the world\u2019s most | 25 | Nature Benchmark, assessing close to 400 of the world\u2019s most | ||
26 | influential companies on their efforts to protect our environment and | 26 | influential companies on their efforts to protect our environment and | ||
27 | its biodiversity.", | 27 | its biodiversity.", | ||
n | 28 | "num_resources": 0, | n | 28 | "num_resources": 1, |
29 | "num_tags": 6, | 29 | "num_tags": 6, | ||
30 | "organization": { | 30 | "organization": { | ||
31 | "approval_status": "approved", | 31 | "approval_status": "approved", | ||
32 | "created": "2023-06-08T17:25:31.378840", | 32 | "created": "2023-06-08T17:25:31.378840", | ||
33 | "description": "World Benchmarking Alliance (WBA) was formed by | 33 | "description": "World Benchmarking Alliance (WBA) was formed by | ||
34 | Aviva, Index Initiative, the UN Foundation and the Business and | 34 | Aviva, Index Initiative, the UN Foundation and the Business and | ||
35 | Sustainable Development Commission. They were brought together by a | 35 | Sustainable Development Commission. They were brought together by a | ||
36 | common belief that the private sector can strongly contribute to, as | 36 | common belief that the private sector can strongly contribute to, as | ||
37 | well as benefit from, the global ambition of the SDGs and that | 37 | well as benefit from, the global ambition of the SDGs and that | ||
38 | corporate performance benchmarks are powerful levers for change.", | 38 | corporate performance benchmarks are powerful levers for change.", | ||
39 | "ib1_member_type": [ | 39 | "ib1_member_type": [ | ||
40 | "non-member" | 40 | "non-member" | ||
41 | ], | 41 | ], | ||
42 | "id": "7ae82eee-7c98-42fd-90d1-e34715c40475", | 42 | "id": "7ae82eee-7c98-42fd-90d1-e34715c40475", | ||
43 | "image_url": "", | 43 | "image_url": "", | ||
44 | "is_organization": true, | 44 | "is_organization": true, | ||
45 | "name": "world-benchmarking-alliance-wba", | 45 | "name": "world-benchmarking-alliance-wba", | ||
46 | "state": "active", | 46 | "state": "active", | ||
47 | "title": "World Benchmarking Alliance (WBA)", | 47 | "title": "World Benchmarking Alliance (WBA)", | ||
48 | "type": "organization" | 48 | "type": "organization" | ||
49 | }, | 49 | }, | ||
50 | "owner_org": "7ae82eee-7c98-42fd-90d1-e34715c40475", | 50 | "owner_org": "7ae82eee-7c98-42fd-90d1-e34715c40475", | ||
51 | "private": false, | 51 | "private": false, | ||
52 | "relationships_as_object": [], | 52 | "relationships_as_object": [], | ||
53 | "relationships_as_subject": [], | 53 | "relationships_as_subject": [], | ||
t | 54 | "resources": [], | t | 54 | "resources": [ |
55 | { | ||||
56 | "cache_last_updated": null, | ||||
57 | "cache_url": null, | ||||
58 | "created": "2023-06-08T17:37:22.921623", | ||||
59 | "datastore_active": false, | ||||
60 | "description": "The data sheet contains information on the | ||||
61 | scores of each of these companies. Scores for each company are | ||||
62 | publicly available at the indicator level for all stakeholders. | ||||
63 | Individual company results are presented in company scorecards and | ||||
64 | detailed assessments.", | ||||
65 | "format": "XLSX", | ||||
66 | "hash": "", | ||||
67 | "id": "d94e6ae4-cb9e-4093-a778-b5331c4dd059", | ||||
68 | "last_modified": null, | ||||
69 | "metadata_modified": "2023-06-08T17:37:22.885952", | ||||
70 | "mimetype": | ||||
71 | "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", | ||||
72 | "mimetype_inner": null, | ||||
73 | "name": "WBA 2021 Food and Agriculture Benchmark Dataset", | ||||
74 | "package_id": "f042b837-7ce8-4d62-8322-004cc4c723db", | ||||
75 | "position": 0, | ||||
76 | "resource_type": null, | ||||
77 | "size": null, | ||||
78 | "state": "active", | ||||
79 | "url": | ||||
80 | 09/Food-and-Agriculture-Benchmark-detailed-scoring-sheet-2021-2.xlsx", | ||||
81 | "url_type": null | ||||
82 | } | ||||
83 | ], | ||||
55 | "state": "draft", | 84 | "state": "draft", | ||
56 | "tags": [ | 85 | "tags": [ | ||
57 | { | 86 | { | ||
58 | "display_name": "agriculture", | 87 | "display_name": "agriculture", | ||
59 | "id": "1a3f467c-0308-4545-b305-af6e9998cb08", | 88 | "id": "1a3f467c-0308-4545-b305-af6e9998cb08", | ||
60 | "name": "agriculture", | 89 | "name": "agriculture", | ||
61 | "state": "active", | 90 | "state": "active", | ||
62 | "vocabulary_id": null | 91 | "vocabulary_id": null | ||
63 | }, | 92 | }, | ||
64 | { | 93 | { | ||
65 | "display_name": "biodiversity", | 94 | "display_name": "biodiversity", | ||
66 | "id": "8462eb02-48fa-4cd9-896c-9cb4d8080bb6", | 95 | "id": "8462eb02-48fa-4cd9-896c-9cb4d8080bb6", | ||
67 | "name": "biodiversity", | 96 | "name": "biodiversity", | ||
68 | "state": "active", | 97 | "state": "active", | ||
69 | "vocabulary_id": null | 98 | "vocabulary_id": null | ||
70 | }, | 99 | }, | ||
71 | { | 100 | { | ||
72 | "display_name": "climate", | 101 | "display_name": "climate", | ||
73 | "id": "47f0361f-e531-4609-983d-ffa8b35657af", | 102 | "id": "47f0361f-e531-4609-983d-ffa8b35657af", | ||
74 | "name": "climate", | 103 | "name": "climate", | ||
75 | "state": "active", | 104 | "state": "active", | ||
76 | "vocabulary_id": null | 105 | "vocabulary_id": null | ||
77 | }, | 106 | }, | ||
78 | { | 107 | { | ||
79 | "display_name": "company", | 108 | "display_name": "company", | ||
80 | "id": "98ca5a5e-01cd-466a-a4f5-3f37b33ee3e8", | 109 | "id": "98ca5a5e-01cd-466a-a4f5-3f37b33ee3e8", | ||
81 | "name": "company", | 110 | "name": "company", | ||
82 | "state": "active", | 111 | "state": "active", | ||
83 | "vocabulary_id": null | 112 | "vocabulary_id": null | ||
84 | }, | 113 | }, | ||
85 | { | 114 | { | ||
86 | "display_name": "environment", | 115 | "display_name": "environment", | ||
87 | "id": "35b743f8-ff55-463b-ac9c-1aa674f376dd", | 116 | "id": "35b743f8-ff55-463b-ac9c-1aa674f376dd", | ||
88 | "name": "environment", | 117 | "name": "environment", | ||
89 | "state": "active", | 118 | "state": "active", | ||
90 | "vocabulary_id": null | 119 | "vocabulary_id": null | ||
91 | }, | 120 | }, | ||
92 | { | 121 | { | ||
93 | "display_name": "esg", | 122 | "display_name": "esg", | ||
94 | "id": "abc1901f-57c5-4f6a-a2f9-f7c47113c023", | 123 | "id": "abc1901f-57c5-4f6a-a2f9-f7c47113c023", | ||
95 | "name": "esg", | 124 | "name": "esg", | ||
96 | "state": "active", | 125 | "state": "active", | ||
97 | "vocabulary_id": null | 126 | "vocabulary_id": null | ||
98 | } | 127 | } | ||
99 | ], | 128 | ], | ||
100 | "title": "WBA 2021 Food and Agriculture Benchmark Dataset", | 129 | "title": "WBA 2021 Food and Agriculture Benchmark Dataset", | ||
101 | "type": "dataset", | 130 | "type": "dataset", | ||
102 | "url": | 131 | "url": | ||
103 | benchmarkingalliance.org/research/2023-buildings-benchmark-data-set/", | 132 | benchmarkingalliance.org/research/2023-buildings-benchmark-data-set/", | ||
104 | "version": "" | 133 | "version": "" | ||
105 | } | 134 | } |