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Table 2 Characteristics of dataset initiatives (N = 22)

From: Donors, authors, and owners: how is genomic citizen science addressing interests in research outputs?

Characteristic

n (%*)

Primary role

 Research

3 (14%)

 Interpretation

7 (32%)

 Repository

5 (23%)

 Registry

2 (9%)

 Matchmaking

2 (9%)

 Platform

3 (14%)

Date launched

 Before 2011

8 (36%)

 2011 to 2014

6 (27%)

 2015 to 2018

8 (36%)

Primary institutional affiliation

 Commercial

6 (27%)

 Academic

5 (23%)

 Governmental

1 (5%)

 Independent non-profit

4 (18%)

 None

6 (27%)

Potential financial implications**

 Free to participate

16 (73%)

 Cost to participate

6 (27%)

 Paid to participate

4 (18%)

Potential inputs**

 Biospecimens

8 (36%)

 Genetic data

22 (100%)

 Survey data

14 (64%)

 Social media or fitness data

5 (23%)

 Analysis

10 (45%)

Potential non-IP returns**

 Raw genetic data

5 (23%)

 Ancestry or relative information

5 (23%)

 Health, wellness, or trait information

16 (73%)

 Scientific training

2 (9%)

 Educational credit

2 (9%)

 Research matchmaking

11 (50%)

 Participant matchmaking

13 (59%)

  1. * Due to rounding, percentages in each category may not add to 100%
  2. ** Characteristics in this category are not mutually exclusive