From Reductionism to Reintegration: Solving society's most pressing problems requires building bridges between data types across the life sciences.
Decades of reductionist approaches in biology have achieved spectacular progress, but the proliferation of subdisciplines, each with its own technical and social practices regarding data, impedes the growth of the multidisciplinary and interdisciplinary approaches now needed to address pressing soci...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-03-01
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| Series: | PLoS Biology |
| Online Access: | https://doi.org/10.1371/journal.pbio.3001129 |
| _version_ | 1819040915889586176 |
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| author | Anne E Thessen Paul Bogdan David J Patterson Theresa M Casey César Hinojo-Hinojo Orlando de Lange Melissa A Haendel |
| author_facet | Anne E Thessen Paul Bogdan David J Patterson Theresa M Casey César Hinojo-Hinojo Orlando de Lange Melissa A Haendel |
| author_sort | Anne E Thessen |
| collection | DOAJ |
| description | Decades of reductionist approaches in biology have achieved spectacular progress, but the proliferation of subdisciplines, each with its own technical and social practices regarding data, impedes the growth of the multidisciplinary and interdisciplinary approaches now needed to address pressing societal challenges. Data integration is key to a reintegrated biology able to address global issues such as climate change, biodiversity loss, and sustainable ecosystem management. We identify major challenges to data integration and present a vision for a "Data as a Service"-oriented architecture to promote reuse of data for discovery. The proposed architecture includes standards development, new tools and services, and strategies for career-development and sustainability. |
| first_indexed | 2024-12-21T09:16:41Z |
| format | Article |
| id | doaj.art-a230f75b973d4327b45142e45fb21cb6 |
| institution | Directory Open Access Journal |
| issn | 1544-9173 1545-7885 |
| language | English |
| last_indexed | 2024-12-21T09:16:41Z |
| publishDate | 2021-03-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Biology |
| spelling | doaj.art-a230f75b973d4327b45142e45fb21cb62022-12-21T19:09:09ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852021-03-01193e300112910.1371/journal.pbio.3001129From Reductionism to Reintegration: Solving society's most pressing problems requires building bridges between data types across the life sciences.Anne E ThessenPaul BogdanDavid J PattersonTheresa M CaseyCésar Hinojo-HinojoOrlando de LangeMelissa A HaendelDecades of reductionist approaches in biology have achieved spectacular progress, but the proliferation of subdisciplines, each with its own technical and social practices regarding data, impedes the growth of the multidisciplinary and interdisciplinary approaches now needed to address pressing societal challenges. Data integration is key to a reintegrated biology able to address global issues such as climate change, biodiversity loss, and sustainable ecosystem management. We identify major challenges to data integration and present a vision for a "Data as a Service"-oriented architecture to promote reuse of data for discovery. The proposed architecture includes standards development, new tools and services, and strategies for career-development and sustainability.https://doi.org/10.1371/journal.pbio.3001129 |
| spellingShingle | Anne E Thessen Paul Bogdan David J Patterson Theresa M Casey César Hinojo-Hinojo Orlando de Lange Melissa A Haendel From Reductionism to Reintegration: Solving society's most pressing problems requires building bridges between data types across the life sciences. PLoS Biology |
| title | From Reductionism to Reintegration: Solving society's most pressing problems requires building bridges between data types across the life sciences. |
| title_full | From Reductionism to Reintegration: Solving society's most pressing problems requires building bridges between data types across the life sciences. |
| title_fullStr | From Reductionism to Reintegration: Solving society's most pressing problems requires building bridges between data types across the life sciences. |
| title_full_unstemmed | From Reductionism to Reintegration: Solving society's most pressing problems requires building bridges between data types across the life sciences. |
| title_short | From Reductionism to Reintegration: Solving society's most pressing problems requires building bridges between data types across the life sciences. |
| title_sort | from reductionism to reintegration solving society s most pressing problems requires building bridges between data types across the life sciences |
| url | https://doi.org/10.1371/journal.pbio.3001129 |
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