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Biology today is heavily data-driven and knowledge-centric that are stored across the linked open web in numerous heterogeneous deep web databases. To improve searching, finding, accessing, and inter-operating among these diverse information sources to increase usability, the FAIR data principle has been proposed. Unfortunately, FAIR compliance is extremely low and linked open data does not guarantee FAIRness, leaving biologists on a solo hunt for information on the open network. In this paper, we propose {\em SoDa}, for intelligent data foraging on the internet. SoDa helps biologists discover resources based on analysis requirements, generate resource access plans, and store cleaned data and knowledge for community use. A secondary search index is also supported for community members to find archived information conveniently.
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Primary Sources as Linked Data: Exploring Motives Across the Sciences and Social Sciences
ABSTRACT While long recognized in the humanities, there is growing recognition in the sciences and social sciences that primary sources—as diverse as manuscripts, photographs, cultural belongings, and specimens—hold vast data about scientific and human knowledge for use in scholarship, community research, and global knowledge. Yet, data embedded in these sources are largely disconnected from the systems of discovery, access, and structured data that support reuse and insights across globally dispersed repositories. In this paper, we share select findings of a systematic review to explore the use of primary sources, and the data embedded in them, via linked data across the sciences and social sciences. Our results confirm the use of a variety of primary source data across diverse disciplines, particularly those requiring longitudinal studies and data integration from diverse repositories and contexts. We highlight how linked data are understood to: connect collections to communities; support highly granular credit, attribution, and assessment of impact; and interrelate diverse sources of knowledge. While these results suggest the value of linked data for the specific research needs of anthropology, the effectiveness of linked data in achieving these objectives and the suitability of this approach for a diversity of institutions and communities need further study.
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- Award ID(s):
- 2314762
- PAR ID:
- 10607892
- Publisher / Repository:
- Proceedings of the Association for Information Science and Technology
- Date Published:
- Journal Name:
- Proceedings of the Association for Information Science and Technology
- Volume:
- 61
- Issue:
- 1
- ISSN:
- 2373-9231
- Page Range / eLocation ID:
- 232 to 245
- Subject(s) / Keyword(s):
- Data reuse anthropology archives primary sources science social science linked data
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1002/pra2.1023
