学术分析提供数据, 分析, 和 expertise to support the research enterprise 和 strategic plan at universities 和 their component colleges, 学校, 博天堂官方网站院, 和部门. Within the context of the broader national research l和scape, 学术分析 data helps administrators 教职员工 create 和 find new research opportunities. 学术分析 product suites — the Benchmarking Suite 和 发现套件 — help university administrations make more objective evidence-based decisions in today’s increasingly competitive environment. The 学术分析 team of knowledgeable staff 和 senior advisors with backgrounds rooted in academia provides ongoing decision-support, 以及获得最佳实践. In addition, the team gives leaders access to information to design customized solutions. Our tools 和 data easily can be applied to strategic planning, 教师发展, 年度计划评审, 荣誉奖项提名策略, 发布策略, 在学院的毕业生安置, 展示教师成就, 确定主题专业知识, 瞄准融资机会, 培养团队科学, 分析协作网络, 和 helping 教员 organize their research profiles.

学术分析 solutions are used by university administrators, 教师领导, 还有博天堂官方网站机构的同事. End users of our data 和 服务s include provosts, 博天堂官方网站人员, 院长, 部门的椅子, 机构博天堂官方网站人员, 教职员工. Anyone with a role in strategy 和 planning will find value in a partnership with 学术分析, including advancement 和 communications offices which promote faculty achievements 和 honors 和 the research strengths of the university to the wider public 和 academic communities.

学术分析 is part of a broad mosaic of information universities use strategically to grow research opportunities 和 strengthen their br和 和 reputation. 结合其他资源, 学术分析 information is a key component in the academic unit review process, the planning of new centers 和 博天堂官方网站院, 和 highlighting existing research strengths. The main uses of 学术分析 服务s 和 products include: strategic planning, 教员和项目发展, 年度计划评审, 学院奖提名策略, 发布策略, 在学院的毕业生安置, 展示教师成就, 确定主题专业知识, 瞄准融资机会, 培养团队科学, 分析协作网络, 建立教师档案. 学术分析 is also used to promote the university by the advancement 和 communications office, which mine our data to develop compelling stories about the university.

Our database includes information on scholarly accomplishment represented in higher education such as: 本出版物, 期刊文章, 会议论文集, 引用, 联邦博天堂官方网站经费, 以及荣誉奖项. 我们的新产品套件, 发现套件, offers several opportunities to integrate our research activity data with local data warehouses covering teaching activity, 服务, or other aspects of faculty life known locally. Such data integration facilitates a more comprehensive view of faculty engagement 和 workload than research activity data alone.

We collect data about the scholarly activity of tenured 和 tenure-track faculty, or other permanent faculty for whom scholarly work is expected (e.g.(“博天堂官方网站教授”). Titles for these individuals are generally “Professor” (e.g., Associate, Assistant, Distinguished, 博天堂官方网站). 学术分析 不 include the following titles unless we are advised that scholarly work or doctoral student committee leadership is expected from all faculty who hold the rank: Adjunct, 伴随, 下属, 参观, 临床, 名誉, 博士后博天堂官方网站人员, 讲师, 和讲师. 偶尔也有例外. 例如, an institution may indicate that emeritus professors are heavily involved in doctoral education 和 research.

学术分析 data have been vetted by many of our client institutions 和 found to be accurate 和 representative of their scholars’ research contributions. Our quality assurance processes are thorough, involving both manual 和 computer-assisted techniques to ensure this high level of quality. Several 博天堂官方网站学者 use 学术分析 data in their scholarly projects (outside the context of a commercial relationship) 和 find our data to be accurate 和 broad in scope. These projects have been submitted to peer reviewed journals, 和 学术分析 passed those high bars for data quality 和 reliability.

我们鼓励终端用户, 博天堂官方网站学者, 教员, 和 anyone else who uses 学术分析 to report data discrepancies to us. In the rare event that a potential error in our data is observed within the stated scope of our coverage, 学术分析 immediately investigates the issue, 和, 如果有必要的话, 更正数据. 在大多数情况下, issues reported to us are misunderst和ings about the coverage period for the particular analysis or the scope of our data collection rather than factual errors. Those who bring an issue to our attention also receive an explanation based upon our investigation.

It is rare that we hear questions about our data 和 tools. When 教员 do raise a question, it is almost always either:

1.  a misunderst和ing about what kinds of data 学术分析 collects, or,
2. lack of clarity about how their institution’s administrators plan to use 学术分析 data.

在第一种情况下, an open dialogue among interested parties about what we include in our dataset – 和 why we include it – clears up such misunderst和ings. 学术分析 emphasizes research activity 和 不 capture information about other important activities in which faculty are involved, 比如教学, 服务和参与. Our focus is on research only, 和 this is sometimes misunderstood.

在后一种情况下, we encourage university administrations to be judicious in their application of data to strategy 和 planning 和 to use data positively, to highlight strengths 和 identify areas for investment. 学术分析 is a small but important piece of a large mosaic of qualitative 和 quantitative data 和 other information that administrators should consider in their workflows.

学术分析 is different from other organizations. We put the scholar first – all our data aggregation processes 和 matching are based on the individual scholar. This focus on people helps us to ensure quality 和 accuracy 和 allows flexibility in how analyses are organized by users. 结果是, 数据可以按部门组织, 项目, 学校和学院, 甚至假设的单位(e.g., what if the university created a center or institute with these 教员 participating?). This type of organization allows university administrators access to reporting 和 comparative 分析 that aren’t possible from other vendors where the journal article is the unit of record. 学术分析 also has a greater breadth of organized faculty content than other companies; In addition to including the traditional measures of 期刊文章 和 引用, 学术分析 also contains information about 尊敬的奖项, 联邦拨款, 会议论文集, 以及图书出版. We are also different from other organizations because we offer total customization of peer groups, 时间窗口, 和 weighting formulae for different metrics, enabling the end user to create a discipline-specific view that is tailored to their university 和 underst和ing of how the discipline is practiced locally.

We report the metrics that we record for humanists 和 performing arts faculty in our database (期刊文章, 会议论文集, 本出版物, 引用, 尊敬的奖项, 以及联邦博天堂官方网站经费). These data types do not appropriately capture the breadth of scholarly activity taken on by faculty in these disciplines. We encourage university administrators to be judicious in the application of research activity metrics to fields where such a limited sample of the total scholarship is included. 我们的新产品套件, 发现套件, allows our data to be augmented by the 教员 themselves to better represent their scholarship in the fine 和 performing arts. We strongly encourage universities to adopt the practice of augmenting data sources with local expertise in these disciplines.

No, our database 不 contain any 先天的 日志的层次或权重. We only include journals which assign a Digital Object Identifier to each article, 和 we only track journals with an explicit external peer review process. We believe that the local authorities at each university are in the best position to create rankings, 层, 和 other quality metrics of journals given their knowledge of local circumstances 和 how the discipline is practiced 和 what subfields are covered at their institution. We have opted to leave this ranking process to the end user, including discipline specific rates of citation for each journal title, rather than to impose our own ranking of journals.