Syndication in science: Curated collaboration
Abstract Development and validation of digital measures require dedicated clinical studies, which can be conducted by a single study sponsor or a precompetitive collaboration. In this perspective, we propose an alternative model, data syndication, a curated collaboration, which foresees a technology...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | Clinical and Translational Science |
| Online Access: | https://doi.org/10.1111/cts.70085 |
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| _version_ | 1846110121236627456 |
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| author | David B. Hurry Elena S. Izmailova Simon Davies Olivier Harari S. Aubrey Stoch John A. Wagner |
| author_facet | David B. Hurry Elena S. Izmailova Simon Davies Olivier Harari S. Aubrey Stoch John A. Wagner |
| author_sort | David B. Hurry |
| collection | DOAJ |
| description | Abstract Development and validation of digital measures require dedicated clinical studies, which can be conducted by a single study sponsor or a precompetitive collaboration. In this perspective, we propose an alternative model, data syndication, a curated collaboration, which foresees a technology provider being a founding member with biopharmaceutical sponsors and other stakeholders joining. Its main advantages are the speed of the study startup and the opportunity for real‐time data streaming. |
| format | Article |
| id | doaj-art-8c9fac95df2d477bbf5bfe9941c1e578 |
| institution | Kabale University |
| issn | 1752-8054 1752-8062 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Clinical and Translational Science |
| spelling | doaj-art-8c9fac95df2d477bbf5bfe9941c1e5782024-12-24T15:26:30ZengWileyClinical and Translational Science1752-80541752-80622024-12-011712n/an/a10.1111/cts.70085Syndication in science: Curated collaborationDavid B. Hurry0Elena S. Izmailova1Simon Davies2Olivier Harari3S. Aubrey Stoch4John A. Wagner5Koneksa Health New York New York USAKoneksa Health New York New York USATakeda Pharmaceuticals Cambridge Massachusetts USARegeneron Pharmaceuticals Tarrytown New York USAMerck Pharmaceuticals Rahway New Jersey USAKoneksa Health New York New York USAAbstract Development and validation of digital measures require dedicated clinical studies, which can be conducted by a single study sponsor or a precompetitive collaboration. In this perspective, we propose an alternative model, data syndication, a curated collaboration, which foresees a technology provider being a founding member with biopharmaceutical sponsors and other stakeholders joining. Its main advantages are the speed of the study startup and the opportunity for real‐time data streaming.https://doi.org/10.1111/cts.70085 |
| spellingShingle | David B. Hurry Elena S. Izmailova Simon Davies Olivier Harari S. Aubrey Stoch John A. Wagner Syndication in science: Curated collaboration Clinical and Translational Science |
| title | Syndication in science: Curated collaboration |
| title_full | Syndication in science: Curated collaboration |
| title_fullStr | Syndication in science: Curated collaboration |
| title_full_unstemmed | Syndication in science: Curated collaboration |
| title_short | Syndication in science: Curated collaboration |
| title_sort | syndication in science curated collaboration |
| url | https://doi.org/10.1111/cts.70085 |
| work_keys_str_mv | AT davidbhurry syndicationinsciencecuratedcollaboration AT elenasizmailova syndicationinsciencecuratedcollaboration AT simondavies syndicationinsciencecuratedcollaboration AT olivierharari syndicationinsciencecuratedcollaboration AT saubreystoch syndicationinsciencecuratedcollaboration AT johnawagner syndicationinsciencecuratedcollaboration |