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For Attribution: Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop (2012)

Chapter: 15- Microsoft Academic Search: An Overview and Future Directions

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Suggested Citation:"15- Microsoft Academic Search: An Overview and Future Directions." National Research Council. 2012. For Attribution: Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop. Washington, DC: The National Academies Press. doi: 10.17226/13564.
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15- Microsoft Academic Search: An Overview and Future Directions

Lee Dirks1
Microsoft Research Connections

I would like to brief you on what we have been doing lately with the Microsoft Academic Search service. It started as a research project that has been conducted at our Beijing lab for almost eight years now. Over the course of the last eighteen months, our team in Redmond has gotten very involved in providing strategic guidance and input. Currently, we are in the process of transitioning it from a research project into an operational service that Microsoft Research will provide to the community. It will be a free academic search engine for tracking academic papers, citation links, and all the various characteristics that can be extracted from papers.

What we have been doing over the last six to nine months is working directly with open access repositories and publishers around the world to sign content agreements so we can get access to their papers. This is all about facilitating access to the papers. At present, we have 27 million papers across 14 domains, and we have another 100 million papers across more than 20 domains in the queue, pending indexing. We are going to expand our content about every three months, and are already actively evolving the site.

All of the signed content agreements that I was referencing earlier—with the various open access repositories and publishers—are to make sure that content providers are aware that we are making their data available for free. We are very interested in having the community use this service as widely as possible.

I also would like to stress that we are being as transparent as possible in talking about the number of publications and authors that we have. As soon as possible, we are going to post a list of the publishers and all the sources of this material. We are also waiting for ORCID to come online, at which point we intend to leverage their work and use their identifiers to help in the name disambiguation process.

Through the Academic Search service, people will have the ability to look at citations or publications on a cumulative or on an annual basis. The service also has some powerful visualization abilities. For example, we will have the ability to show a single author in connection with all the people that he/she has worked with in the past (e.g., co-authors).

Another thing I would like to highlight is the system’s ability to drill down into fields and subfields. For computer science, for example, you can look at the top authors, top publications, top conferences, journals, organizations, and other characteristics. (Note that this ranking is solely based on citation counts we have calculated.) Also, you can drill down into a sub-domain of computer science and visualize, for example, publication activity using what we call the Domain Trend. We believe that Domain Trend is a very useful tool for helping researchers find coauthors, principal investigators, and even awards and people to invite to conferences. There is also the ability to do ranking across institutions and across countries.

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1 Presentation slides are available at http://sites.nationalacademies.org/PGA/brdi/PGA_064019.

Suggested Citation:"15- Microsoft Academic Search: An Overview and Future Directions." National Research Council. 2012. For Attribution: Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop. Washington, DC: The National Academies Press. doi: 10.17226/13564.
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Again, all of that information is free. We have been getting some good coverage lately, especially about some of the new functionalities of the system. Here is a recent quote from Nature2:

“…Meanwhile, Microsoft Academic Search (MAS), which launched in 2009 and has a tool similar to Google Scholar, has over the past few months added a suite of nifty new tools based on its citation metrics (so.nature.com/u1ouut). These include visualizations of citation networks (see ‘Mapping the structure of science’); publication trends; and rankings of the leading researchers in a field.”

I would like to stress the fact that the work that we are doing here is for researchers and by researchers. That is something that we will always keep in mind when we grow and make this a more sustainable service. We are also very interested in changing our interface and not just doing citation analysis of papers, but eventually also of data. We are very interested in conducting research projects with the community. From our perspective, Microsoft Academic Search is an open platform and we are going to be as transparent as we can about our work. We want to make sure that this service will accurately represent how science and academia work. We are going to make our domain coverage more extensive. We are also working on more partnerships. For example, we are an associate member of DataCite and we are a founding sponsor of ORCID. Finally, we are tracking these and other activities to see when and how we can integrate them into our service.

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2 Butler, D. 4 August 2011 Computing giants launch free science metrics. Nature 476, 18 (2011) (doi:10.1038/476018a).

Suggested Citation:"15- Microsoft Academic Search: An Overview and Future Directions." National Research Council. 2012. For Attribution: Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop. Washington, DC: The National Academies Press. doi: 10.17226/13564.
×
Page 107
Suggested Citation:"15- Microsoft Academic Search: An Overview and Future Directions." National Research Council. 2012. For Attribution: Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop. Washington, DC: The National Academies Press. doi: 10.17226/13564.
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The growth of electronic publishing of literature has created new challenges, such as the need for mechanisms for citing online references in ways that can assure discoverability and retrieval for many years into the future. The growth in online datasets presents related, yet more complex challenges. It depends upon the ability to reliably identify, locate, access, interpret, and verify the version, integrity, and provenance of digital datasets. Data citation standards and good practices can form the basis for increased incentives, recognition, and rewards for scientific data activities that in many cases are currently lacking in many fields of research. The rapidly-expanding universe of online digital data holds the promise of allowing peer-examination and review of conclusions or analysis based on experimental or observational data, the integration of data into new forms of scholarly publishing, and the ability for subsequent users to make new and unforeseen uses and analyses of the same data-either in isolation, or in combination with, other datasets.

The problem of citing online data is complicated by the lack of established practices for referring to portions or subsets of data. There are a number of initiatives in different organizations, countries, and disciplines already underway. An important set of technical and policy approaches have already been launched by the U.S. National Information Standards Organization (NISO) and other standards bodies regarding persistent identifiers and online linking.

The workshop summarized in For Attribution -- Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop was organized by a steering committee under the National Research Council's (NRC's) Board on Research Data and Information, in collaboration with an international CODATA-ICSTI Task Group on Data Citation Standards and Practices. The purpose of the symposium was to examine a number of key issues related to data identification, attribution, citation, and linking to help coordinate activities in this area internationally, and to promote common practices and standards in the scientific community.

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