SPARClink: an interactive tool to visualize the impact of the SPARC program [version 1; peer review: 2 approved, 1 approved with reservations]
The National Institutes of Health (NIH) Stimulating Peripheral Activity to Relieve Conditions (SPARC) program seeks to accelerate the development of therapeutic devices that modulate electrical activity in nerves to improve organ function. SPARC-funded researchers are generating rich datasets from n...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2022-01-01
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| Series: | F1000Research |
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| Online Access: | https://f1000research.com/articles/11-124/v1 |
| _version_ | 1797904563000311808 |
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| author | Jongchan Kim Ashutosh Singh Monalisa Achalla Sachira Kuruppu Sanjay Soundarajan |
| author_facet | Jongchan Kim Ashutosh Singh Monalisa Achalla Sachira Kuruppu Sanjay Soundarajan |
| author_sort | Jongchan Kim |
| collection | DOAJ |
| description | The National Institutes of Health (NIH) Stimulating Peripheral Activity to Relieve Conditions (SPARC) program seeks to accelerate the development of therapeutic devices that modulate electrical activity in nerves to improve organ function. SPARC-funded researchers are generating rich datasets from neuromodulation research that are curated and shared according to FAIR (Findable, Accessible, Interoperable, and Reusable) guidelines and are accessible to the public on the SPARC data portal. Keeping track of the utilization of these datasets within the larger research community is a feature that will benefit data-generating researchers in showcasing the impact of their SPARC outcomes. This will also allow the SPARC program to display the impact of the FAIR data curation and sharing practices that have been implemented. This manuscript provides the methods and outcomes of SPARClink, our web tool for visualizing the impact of SPARC, which won the Second prize at the 2021 SPARC FAIR Codeathon. With SPARClink, we built a system that automatically and continuously finds new published SPARC scientific outputs (datasets, publications, protocols) and the external resources referring to them. SPARC datasets and protocols are queried using publicly accessible REST application programming interfaces (APIs, provided by Pennsieve and Protocols.io) and stored in a publicly accessible database. Citation information for these resources is retrieved using the NIH reporter API and National Center for Biotechnology Information (NCBI) Entrez system. A novel knowledge graph-based structure was created to visualize the results of these queries and showcase the impact that the FAIR data principles can have on the research landscape when they are adopted by a consortium. |
| first_indexed | 2024-04-10T09:50:57Z |
| format | Article |
| id | doaj.art-6348b98e09e6472a90fd75a6da35ce82 |
| institution | Directory Open Access Journal |
| issn | 2046-1402 |
| language | English |
| last_indexed | 2024-04-10T09:50:57Z |
| publishDate | 2022-01-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | F1000Research |
| spelling | doaj.art-6348b98e09e6472a90fd75a6da35ce822023-02-17T01:00:00ZengF1000 Research LtdF1000Research2046-14022022-01-011178888SPARClink: an interactive tool to visualize the impact of the SPARC program [version 1; peer review: 2 approved, 1 approved with reservations]Jongchan Kim0Ashutosh Singh1Monalisa Achalla2Sachira Kuruppu3https://orcid.org/0000-0002-3829-6797Sanjay Soundarajan4https://orcid.org/0000-0003-2829-8032Data Science, The George Washington University, Washington, District of Columbia, USAElectrical and Computer Engineering Department, Northeastern University, Boston, Massachusetts, USAClarkson Center for Complex Systems Science, Clarkson University, Post, Potsdam, New York, USAAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandFair Data Innovations Hub, California Medical Innovations Institute, San Diego, California, USAThe National Institutes of Health (NIH) Stimulating Peripheral Activity to Relieve Conditions (SPARC) program seeks to accelerate the development of therapeutic devices that modulate electrical activity in nerves to improve organ function. SPARC-funded researchers are generating rich datasets from neuromodulation research that are curated and shared according to FAIR (Findable, Accessible, Interoperable, and Reusable) guidelines and are accessible to the public on the SPARC data portal. Keeping track of the utilization of these datasets within the larger research community is a feature that will benefit data-generating researchers in showcasing the impact of their SPARC outcomes. This will also allow the SPARC program to display the impact of the FAIR data curation and sharing practices that have been implemented. This manuscript provides the methods and outcomes of SPARClink, our web tool for visualizing the impact of SPARC, which won the Second prize at the 2021 SPARC FAIR Codeathon. With SPARClink, we built a system that automatically and continuously finds new published SPARC scientific outputs (datasets, publications, protocols) and the external resources referring to them. SPARC datasets and protocols are queried using publicly accessible REST application programming interfaces (APIs, provided by Pennsieve and Protocols.io) and stored in a publicly accessible database. Citation information for these resources is retrieved using the NIH reporter API and National Center for Biotechnology Information (NCBI) Entrez system. A novel knowledge graph-based structure was created to visualize the results of these queries and showcase the impact that the FAIR data principles can have on the research landscape when they are adopted by a consortium.https://f1000research.com/articles/11-124/v1Visualization machine-learning citations FAIR data sharingeng |
| spellingShingle | Jongchan Kim Ashutosh Singh Monalisa Achalla Sachira Kuruppu Sanjay Soundarajan SPARClink: an interactive tool to visualize the impact of the SPARC program [version 1; peer review: 2 approved, 1 approved with reservations] F1000Research Visualization machine-learning citations FAIR data sharing eng |
| title | SPARClink: an interactive tool to visualize the impact of the SPARC program [version 1; peer review: 2 approved, 1 approved with reservations] |
| title_full | SPARClink: an interactive tool to visualize the impact of the SPARC program [version 1; peer review: 2 approved, 1 approved with reservations] |
| title_fullStr | SPARClink: an interactive tool to visualize the impact of the SPARC program [version 1; peer review: 2 approved, 1 approved with reservations] |
| title_full_unstemmed | SPARClink: an interactive tool to visualize the impact of the SPARC program [version 1; peer review: 2 approved, 1 approved with reservations] |
| title_short | SPARClink: an interactive tool to visualize the impact of the SPARC program [version 1; peer review: 2 approved, 1 approved with reservations] |
| title_sort | sparclink an interactive tool to visualize the impact of the sparc program version 1 peer review 2 approved 1 approved with reservations |
| topic | Visualization machine-learning citations FAIR data sharing eng |
| url | https://f1000research.com/articles/11-124/v1 |
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