Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway, PO Box 6060, Tromsø N-9038, Norway.
Health Res Policy Syst. 2013 Jan 14;11:2. doi: 10.1186/1478-4505-11-2.
A simple, generalizable method for measuring research output would be useful in attempts to build research capacity, and in other contexts.
A simple indicator of individual research output was developed, based on grant income, publications and numbers of PhD students supervised. The feasibility and utility of the indicator was examined by using it to calculate research output from two similarly-sized research groups in different countries. The same indicator can be used to assess the balance in the research "portfolio" of an individual researcher.
Research output scores of 41 staff in Research Department A had a wide range, from zero to 8; the distribution of these scores was highly skewed. Only about 20% of the researchers had well-balanced research outputs, with approximately equal contributions from grants, papers and supervision. Over a five-year period, Department A's total research output rose, while the number of research staff decreased slightly, in other words research productivity (output per head) rose. Total research output from Research Department B, of approximately the same size as A, was similar, but slightly higher than Department A.
The proposed indicator is feasible. The output score is dimensionless and can be used for comparisons within and between countries. Modeling can be used to explore the effect on research output of changing the size and composition of a research department. A sensitivity analysis shows that small increases in individual productivity result in relatively greater increases in overall departmental research output. The indicator appears to be potentially useful for capacity building, once the initial step of research priority setting has been completed.
一种简单、可推广的研究产出衡量方法,将有助于提高研究能力,并在其他背景下发挥作用。
根据拨款收入、出版物和指导的博士生人数,开发了一种简单的个体研究产出指标。通过使用该指标计算来自两个不同国家的两个规模相似的研究小组的研究产出,检验了该指标的可行性和实用性。同样的指标也可以用来评估个体研究人员的研究“投资组合”的平衡程度。
研究部 A 的 41 名员工的研究产出得分范围很广,从 0 到 8;这些得分的分布高度偏斜。只有大约 20%的研究人员具有平衡的研究产出,拨款、论文和指导的贡献大致相等。在五年期间,A 部的总研究产出增加,而研究人员的数量略有减少,换句话说,研究生产力(人均产出)提高了。规模与 A 部大致相同的研究部 B 的总研究产出相似,但略高于 A 部。
所提出的指标是可行的。产出得分是无量纲的,可以用于国家内部和国家之间的比较。建模可以用于探索改变研究部门的规模和组成对研究产出的影响。敏感性分析表明,个体生产力的微小提高会导致整个部门研究产出的相对较大提高。该指标似乎在完成研究优先事项设定的初始步骤后,对于能力建设具有潜在的用处。