Comparison_of_research_networking_tools_and_research_profiling_systems

Comparison of research networking tools and research profiling systems

Comparison of research networking tools and research profiling systems

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Research networking (RN) is about using tools to identify, locate and use research and scholarly information about people and resources. Research networking tools (RN tools) serve as knowledge management systems for the research enterprise. RN tools connect institution-level/enterprise systems, national research networks, publicly available research data (e.g., grants and publications), and restricted/proprietary data by harvesting information from disparate sources into compiled profiles for faculty, investigators, scholars, clinicians, community partners and facilities. RN tools facilitate collaboration and team science to address research challenges through the rapid discovery and recommendation of researchers, expertise and resources.[1][2]

RN tools differ from search engines like Google in that RN tools access information in databases and other data not limited to web pages. They also differ from social networking systems in that they represent a compendium of data ingested from authoritative and verifiable sources rather than predominantly individually-posted information, making RN tools more reliable.[3] Yet, RN tools have sufficient flexibility to allow for profile editing. RN tools provide resources to bolster human connections:[4] they can make non-intuitive matches, do not depend on serendipity and do not have a propensity to return only to previously identified collaborations/collaborators. RN tools generally have associated analytical capabilities that enable evaluation of collaboration and cross-disciplinary research/scholarly activity, especially over time.

RN tools and research profiling systems can help researchers gain recognition. Active promotion of scholarship is an aspect of the publication cycle. Commercial and non-profit services help researchers increase visibility and recognition. Digital researcher services enhance discoverability, shareability and citability of scholarship. According to Shanks and Arlitsch,[5] digital researcher services fall into three categories:

  • Author/Researcher Identification—these services provide infrastructure that may be used in the other two categories, such as unique identifiers and name disambiguation.
  • Academic and Professional Networking—most succinctly described as “social networking for academics,” these services focus on connecting users based on research interest, affiliation, geography or other variables.
  • Reference and Citation Management—these tools and services include some of the functionality and features of other categories, although their primary focus is on management of citations that a researcher compiles for use within a publication or for sharing with other researchers.

Importantly, data harvested into RN tools can be repurposed, especially if available as Linked Open Data (RDF triples). These RN tools enhance research support activities by providing data for customized, web pages, CV/biosketch generation and data tables for grant proposals.

General

More information Research Networking Tool, Link to Product Page ...

Data sources, ingest and export formats

This table provides information on the types of data used in each RN tool and how this data is ingested, along with data export formats (e.g. XML, RDF, RIS, PDF)

More information Research Networking Tool, Data Source / Infeed Functionality ...

Data interoperability and integration

Whether a research networking tool is compatible with institutional enterprise systems (e.g. human resources databases), can be integrated with other external products or add-ons and can be used for regional, national, international or federated connectivity.

More information Research Networking Tool, Interoperability with Institutional Enterprise Systems ...

Users profiled, user interactivity and networking functionality

This table provides information on what user population is profiled for each tool, ability for users to edit their own profile data and type of networking. Active networking means that the user can enter connections to the network by entering colleagues' names. Passive networking means that the software infers network connections from a user's publication co-authors and builds a network from these names.

More information Research Networking Tool, Profiled User Population ...

Controlled vocabulary, ontologies and author disambiguation

This table provides information on the types of controlled vocabulary or thesauri used by the tools, as well as ontologies supported and whether author disambiguation is performed by the software.

More information Research Networking Tool, Thesaurus/Controlled Vocabulary Used ...

Bibliometrics

This table provides information on the types of bibliometrics provided in the tool.

More information Research Networking Tool, h-index ...

See also

Notes and references

  1. [1]
    Carey, J (2011). "Faculty of 1000 and VIVO: Invisible Colleges and Team Science - Issues in Science and Technology Librarianship". www.istl.org. Retrieved 2018-07-14.
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    Fazel-Zarandi M, Devlin HJ, Huang Y and Contractor N (2011). "Expert recommendation based on social drivers, social network analysis, and semantic data representation". 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems. pp. 41-48. (ACM, Chicago, IL)
  3. [3]
    Gewin, V (15 December 2010). "Collaboration: Social networking seeks critical mass". Nature. 468 (7326): 993–4. doi:10.1038/nj7326-993a.
  4. [4]
    Contractor, NS; Monge, PR (November 2002). "Managing knowledge networks". Management Communication Quarterly. 16 (2): 249–58. doi:10.1177/089331802237238. S2CID 144608387.
  5. [5]
    Shanks, Justin; Arlitsch, Kenning (2016-04-02). "Making Sense of Researcher Services". Journal of Library Administration. 56 (3): 295–316. doi:10.1080/01930826.2016.1146534. ISSN 0193-0826.
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    Active Insight
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    "Faculty Activity Reporting Made Easy, Effective and Secure | Digital Measures". www.digitalmeasures.com. Retrieved 2018-07-14.
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    Huang Y, Contractor N and Yao Y (2008). "CI-KNOW: Recommendation based on Social Networks." In The Proceedings of the 9th Annual International Digital Government Research Conference (Digital Government Society of North America), pp. 27-33.
  9. [9]
    Peter J. Carrington; John Scott, eds. (2011). The SAGE Handbook of Social Network Analysis. SAGE. p. 590. ISBN 978-1847873958.
  10. [10]
    "Profiles - Inknowledge". Inknowledge. Retrieved 2018-07-14.
  11. [11]
    Purdue University (31 October 2012). "This Purdue Team is Super - At Computing".
  12. [12]
    "Sparc OA Forum". groups.google.com.
  13. [13]
    Kibbe, W. (2010). LatticeGrid
  14. [14]
    Brandt, Debra S.; Bosch, Michael; Bayless, Meg; Sinkey, Christine A.; Bodeker, Kellie; Sprenger, Kimberly; Johnson, Karen; Gilmore, Julie M. E. (February 2011). "A CTSA-sponsored program for clinical research coordination: networking, education, and mentoring". Clin Transl Sci. 4 (1): 42–7. doi:10.1111/j.1752-8062.2011.00259.x. PMC 3076925. PMID 21348955.
  15. [15]
    Brooks E, Case C, Corson-Rikert J, et al. (2010). National VIVO network: Implementation plan[permanent dead link] Retrieved 2012-01-24.
  16. [16]
    "VIVO Looks To Next-Gen Scholarship And Its Interconnected Future". DATAVERSITY. 1 October 2012. Archived from the original on 29 October 2012. Retrieved 9 November 2012.
  17. [17]
    "VIVO Implementations In Progress". Archived from the original on 2013-08-17. Retrieved 2013-08-19.
  18. [18]
    Elizabeth Church (2012-08-23). "Web tools aim to open the gates to the ivory tower - The Globe and Mail". M.theglobeandmail.com. Retrieved 2012-11-09.
  19. [19]
    Canada (2009-06-04). "Looking for a researcher near you? Yaffle it! - Concordia Journal - Concordia University - Montreal, Quebec, Canada". Cjournal.concordia.ca. Retrieved 2012-11-09.

Bibliography

This page has been cited by "AAMC Technology Now Research Networking" (pdf).
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