Inconsistencies in topics and organizations.

[mialy-defelice]

While trying to parse the standards registry, I noticed some inconsistencies in the topics and orgs referenced in the registry and the associated tools and orgs data.

The table below (and attached csv) indicates the standards that had improperly formatted topics or organizations. Please let me know if you have any questions.	FIELD1	Standard	Org	Topic
0	B2AI_STANDARD:154		B2AI_TOPIC:9, Genome
1	B2AI_STANDARD:155		B2AI_TOPIC:4, Molecular Biology
2	B2AI_STANDARD:225	NHTSA
3	B2AI_STANDARD:249	COMBINE
4	B2AI_STANDARD:280	ISBER
5	B2AI_STANDARD:284	STROBE
6	B2AI_STANDARD:289	COMBINE
7	B2AI_STANDARD:295	CDC
8	B2AI_STANDARD:360	IA
9	B2AI_STANDARD:368	UKDA
10	B2AI_STANDARD:369	RDA
11	B2AI_STANDARD:371	ARDC
12	B2AI_STANDARD:380	SDMX
13	B2AI_STANDARD:386	RI
14	B2AI_STANDARD:396		Model
15	B2AI_STANDARD:398		Model
16	B2AI_STANDARD:399		Model
17	B2AI_STANDARD:400		Model
18	B2AI_STANDARD:401		Model
19	B2AI_STANDARD:402		Model
20	B2AI_STANDARD:403	ASA
21	B2AI_STANDARD:430	obofoundry
22	B2AI_STANDARD:432	FSCAI
23	B2AI_STANDARD:475	Samwald
24	B2AI_STANDARD:526		B2AI_TOPIC:4, Disease
25	B2AI_STANDARD:540		B2AI_TOPIC:1, Environment
26	B2AI_STANDARD:622	AHRQ
27	B2AI_STANDARD:644	Mozilla
28	B2AI_STANDARD:734	Meta
29	B2AI_STANDARD:739	7B
30	B2AI_STANDARD:743		B2AI_TOPIC:12, Networks and Pathways
31	B2AI_STANDARD:789	Netflix
32	B2AI_STANDARD:800		B2AI_TOPIC:26, Proteome
33	B2AI_STANDARD:808	B2AI_ORG:67 NHGRI
34	B2AI_STANDARD:828		Transcript
35	B2AI_STANDARD:828		B2AI_TOPIC:33ome
36	B2AI_STANDARD:836		B2AI_TOPIC:4, Genome

bridge2ai_org_topic_inconsistencies.csv

[caufieldjh]

Thanks - these should be fixed now. The validator really should be catching cases like these organizations, so I'll have to look into that further.

[mialy-defelice]

Thank you so much!