Impact and evidence

What the African DSI DataBank holds, where the data come from, how they are used, and the capacity built. Counted from public records only, on 15 November 2026 at 16:36 (UTC).

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At a glance

122,662 public records
82 countries of origin named
4 connected nodes in 2 countries
322,123 downloads and 30,087 views in the last 3 months

Records by data type

Data type	Public records
Genomes	6,579
Proteins	17,469
Predicted structures	21,060
Field & specimen images	39,390
Cellular & molecular imaging datasets	7,967
Proteomics profiles	2,211
Chemical Profiles (metabolomics)	3,152
Proteomics project references (PRIDE)	1,111
Metabolic Profiles (MetaboLights/KEGG)	458
Baobab Index publications (PubMed)	1,930
SRA raw-reads references (mirrored genomes)	10
Derived analysis results	21,305
Pathogen–reservoir associations (curated)	20

Records by country of origin

The country the data come from, as their submitter or source states it; not where they are held. 41% of the records that can carry one name their country.

Country of origin	Public records
South Africa	16,056
Kenya	3,280
Tanzania, United Republic of	3,185
Madagascar	2,725
Nigeria	1,516
Uganda	1,480
Morocco	1,435
Ethiopia	1,143
Algeria	824
Botswana	791
Zambia	740
Gambia	700
Namibia	700
Spain	696
Zimbabwe	688
Ghana	648
Gabon	622
Cameroon	606
Egypt	586
Malawi	576
Senegal	502
Benin	492
Congo, The Democratic Republic of the	485
Mozambique	453
Rwanda	409
Seychelles	388
Cabo Verde	350
Burkina Faso	325
Congo	323
Mauritius	266
Réunion	230
Tunisia	201
Sudan	199
Central African Republic	197
Angola	195
Eswatini	179
Portugal	149
Côte d'Ivoire	125
Guinea	89
Sierra Leone	75
Burundi	71
Togo	71
Comoros	65
Somalia	63
Sao Tome and Principe	63
Mali	61
Mayotte	56
Yemen	52
Western Sahara	50
Chad	43
Djibouti	43
Saint Helena, Ascension and Tristan da Cunha	42
Liberia	41
Lesotho	34
Guinea-Bissau	33
Mauritania	31
South Sudan	25
Equatorial Guinea	23
China	20
Libya	17
Niger	17
United States	15
Japan	7
Colombia	7
Eritrea	7
France	5
Switzerland	2
Gibraltar	2
Guam	1
Australia	1
Iran, Islamic Republic of	1
Iraq	1
India	1
Sri Lanka	1
Saudi Arabia	1
Germany	1
Pakistan	1
Canada	1
Cyprus	1
Indonesia	1
Bangladesh	1
Israel	1

How complete is the country of origin?

CBD Decision 16/2 notes that data on the geographical origin of DSI are often incomplete. This is how complete they are here, by data type.

Data type	Records naming their country	Share
Genomes	6,260 of 6,579	95%
Proteins	0 of 17,469	0%
Predicted structures	0 of 21,060	0%
Field & specimen images	39,349 of 39,390	100%
Proteomics profiles	0 of 2,211	0%
Chemical Profiles (metabolomics)	0 of 3,152	0%
Derived analysis results	0 of 21,305	0%

Use over time

Month	Downloads	Views	By people (website)	By scripts and API clients	By crawlers
2026-09	8,215	2,169	0	0	0
2026-10	198,115	26,280	20,815	5,807	89,097
2026-11	115,793	1,638	20,538	5,158	91,735

How use is counted

Each file served counts once: a download when the file is fetched to keep, a view when it is shown in the page (an image, a structure).
Each is labelled by how it was made, judged from the requesting program and never stored: a web browser (people using the website), a script or API client (pipelines and programs), or a crawler (search engines and other automated indexes). All three are shown; scripts are often researchers' own pipelines, so they are counted as use.
The genome viewer's background reads of parts of a file are not counted. Requests before 26 September 2026 could not be told apart and are left out here.
No visitor's address or identity is recorded: the country is looked up and the address dropped.

Capacity built

4 nodes connected (Morocco, South Africa)
32 node operators with active roles
0 researchers approved as contributors
6 curators
0 training and 11 outreach materials published

Who contributes, node by node, is on Participation. How the DataBank meets international standards is on International standards.

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