Research Project Report Evaluation Criteria
I. Sources: Does the report use the right kinds of scholarly or popular-scholarly sources to support its claims, and does it clearly explain the research process by which those sources' documents' were located?
While no number of sources can be called automatically "enough," the assignment requires that you find sources of sufficient quality to support what you say you know about your topic. Scholarly sources are preferable, but in some disciplines the popular-scholarly source can be used for support if corroborated by scholarly sources. See me for advice about this. In the end, though, one of the most complex and subtle measures of your readiness for upper-division college writing will be your ability to match source quantity and quality to the strength of claims made by your thesis and the demands your readers are likely to make.
Is the report based on at least some recent article-length sources?
Articles are the sources of the most recent and most tightly focused analysis on your topic. Students who rely on books because the Library catalogue is easier to use, or because books appear to have "more on the topic," are still thinking at a pre-college level. They do not understand how quickly book-length manuscripts become outdated, and how books' much larger theses can make it difficult for students to extract useful support from them without misunderstanding what they are borrowing.
Does it use at least one scholarly source, or does it contain a well-written endnote or footnote which explains exactly why there are no scholarly sources available on this topic?
Take seriously the task of reading scholarship in your field. The popular works available will not give you the authority to say things that will persuade your professors. You can use popular-scholarly journals and scholarly reference works to give you a "ladder of expertise" so that you can read professional scholars' work, but you eventually will have to join the dialogue they are conducting several times each year in their field's scholarly journals. You can learn a lot from "negative success" at reading scholarly work, too. If you are trying your hardest, using all the aids available (including asking teachers in the subject for help), and you still cannot read the scholarship near the end of your first year of study, you probably should rethink your intended major.
If the topic requires it, are the sources recent enough to be persuasive?
Scholarship in the social and natural sciences becomes outdated quickly. Conclusions based on out of date evidence fail to persuade. Students who want to succeed in these majors must become persistent enough researchers to seek out the most recent and authoritative sources on their topics. Humanities sources have undergone immense theoretical upheavals in the last decades of the Twentieth Century, and for many fields, secondary scholarship written much before 1980 can be suspect or unacceptable because its analytical methods are controlled by theoretical assumptions that are no longer acceptable. The fields cannot engage in wholesale book-burning and web-site erasure to eliminate these problematic sources, but an early part of Humanities' majors' upper-division work involves becoming familiar with the currently acceptable theories and analytical methods, and with the sources from earlier scholars work which are still acceptable.
II. Thesis: Is the report organized by an independent thesis which at least uses reasoning and/or evidence from one article to contribute substantively to the reasoning and/or evidence in any other article, thus avoiding mere summary of the research? Is the thesis carefully composed to avoid claiming absolute knowledge if its evidence supports only possible or probable conclusions? Is the thesis supported by logically sound reasoning?
These questions are asking whether the author has moved beyond the stage of merely reporting what others say, and into the stage of being able to think creatively about the topic. Early attempts to do this may be tentative and uncertain. To protect your reputation for careful thinking, make sure you distinguish clearly among certain, probable, and possible conclusions. Be content to claim your conclusions are "possibly" correct unless you can eliminate many of the contending conclusions to claim they are "probably' correct. Do not claim your conclusions "certainly" explain the evidence unless you have eliminated all alternative explanations. Logical fallacies often arise because writers unconsciously struggle to force their research to support to their earliest intuitions, guesses, hunches, or hypotheses about what is true. (Think of how often you heard high-school writers say "I'm going to do some research to get sources that support my thesis.") Beware your own prejudices about what you think the evidence will reveal before you've impartially examined it. Let the evidence speak and you can hardly go far wrong.
III. Audience: Does the report address a scholarly audience and correctly estimate the level of knowledge that audience can be expected to possess? Does it avoid telling experts obvious things, like defining terms of art or basic concepts, providing needless "background," and identifying experts to each other with unnecessary specificity (e.g., "the biologist Lewis Thomas" in a paper addressed to biologists)? Does it always specify the source of generalizations about evidence by correct citations of scholarship?
Writing like professional scholar takes practice, but now is the time to start. Look carefully at the ways your sources establish the tone of their relationship with their own readers. Notice what things the writers assume their audiences know and what things they take care to reveal about their sources and methods. Then, do what they do in your own paper.
IV. Mechanics and Documentation: Does the report use standard academic English usage and sentence construction, coherent and well-ordered paragraphs, logical paragraph transition, and a fully functional title, introduction, and conclusion? Does the paper accurately and consistently use a documentation style appropriate to the discipline (MLA, APA, CBE, or U. Chicago), or does it at least use MLA style accurately and consistently?
This set of questions is really an extension of III. above, but it's such an important element of research writing for 200- and 300-level courses that it's worth its own weighted evaluation in this project. Failure to write grammatically when making a scholarly claim automatically exposes the writer to suspicion that the basic thinking underlying the paper is faulty, too. This is especially difficult for student writers because when the mind must concentrate on difficult, newly learned concepts and methods, grammar and syntax almost always deteriorate. The Writing Center tutors' help will be more important than ever when your intellectual efforts are most challenged by your topic and your readers' expectations. Involve the tutors you work with in your brainstorming, and in your early drafting, not just in your proof-reading of the final draft.
Be especially careful when using terms of art and jargon from the discipline you're just entering. As an "apprentice," you may make mistakes that a more experienced scholar would not make, and they're the kind of mistakes that damage your authority, so you should pay special attention to those peculiar kinds of words and phrases. Are you using them as and when a specialist would use them? For in intriguing website that explains Computer Science jargon, see Jargon 4.2.0, by Arjan de Mes at University of Amsterdam. It's a little out of date by now because it was last updated in 2000, but many of its terms are still in use.
Double your efforts to proofread your final draft in order to catch these old errors that will come back when you least want them to appear. You can prevent one typical source of dangerous errors if you start your paper's first draft with a list of sources as you accumulate them in your research, properly formatted in the documentation style appropriate for your topic's discipline. This is far to important to leave for the last five minutes of the writing process, and if you develop the habit of doing it early you will save yourself countless disappointments in later papers. Just build the paper on top of that source list, and add to it every time you develop a new source, and you can spend your last hours polishing your prose rather than worrying about documentation format.
This article aims to explore what is understood by the term ‘research impact’ and to provide a comprehensive assimilation of available literature and information, drawing on global experiences to understand the potential for methods and frameworks of impact assessment being implemented for UK impact assessment. We take a more focused look at the impact component of the UK Research Excellence Framework taking place in 2014 and some of the challenges to evaluating impact and the role that systems might play in the future for capturing the links between research and impact and the requirements we have for these systems.
1. Introduction, what is meant by impact?
When considering the impact that is generated as a result of research, a number of authors and government recommendations have advised that a clear definition of impact is required (Duryea, Hochman, and Parfitt 2007; Grant et al. 2009; Russell Group 2009). From the outset, we note that the understanding of the term impact differs between users and audiences. There is a distinction between ‘academic impact’ understood as the intellectual contribution to one’s field of study within academia and ‘external socio-economic impact’ beyond academia. In the UK, evaluation of academic and broader socio-economic impact takes place separately. ‘Impact’ has become the term of choice in the UK for research influence beyond academia. This distinction is not so clear in impact assessments outside of the UK, where academic outputs and socio-economic impacts are often viewed as one, to give an overall assessment of value and change created through research.
The Oxford English Dictionary defines impact as a ‘Marked effect or influence’, this is clearly a very broad definition. In terms of research impact, organizations and stakeholders may be interested in specific aspects of impact, dependent on their focus. In this case, a specific definition may be required, for example, in the Research Excellence Framework (REF), ‘Assessment framework and guidance on submissions’ (REF2014 2011b), which defines ‘impact’ as,
an effect on, change or benefit to the economy, society, culture, public policy or services, health, the environment or quality of life, beyond academia
Impact is assessed alongside research outputs and environment to provide an evaluation of research taking place within an institution. As such research outputs, for example, knowledge generated and publications, can be translated into outcomes, for example, new products and services, and impacts or added value (Duryea et al. 2007). Although some might find the distinction somewhat marginal or even confusing, this differentiation between outputs, outcomes, and impacts is important, and has been highlighted, not only for the impacts derived from university research (Kelly and McNicol 2011) but also for work done in the charitable sector (Ebrahim and Rangan, 2010; Berg and Månsson 2011; Kelly and McNicoll 2011). The Social Return on Investment (SROI) guide (The SROI Network 2012) suggests that ‘The language varies “impact”, “returns”, “benefits”, “value” but the questions around what sort of difference and how much of a difference we are making are the same’. It is perhaps assumed here that a positive or beneficial effect will be considered as an impact but what about changes that are perceived to be negative? Wooding et al. (2007) adapted the terminology of the Payback Framework, developed for the health and biomedical sciences from ‘benefit’ to ‘impact’ when modifying the framework for the social sciences, arguing that the positive or negative nature of a change was subjective and can also change with time, as has commonly been highlighted with the drug thalidomide, which was introduced in the 1950s to help with, among other things, morning sickness but due to teratogenic effects, which resulted in birth defects, was withdrawn in the early 1960s. Thalidomide has since been found to have beneficial effects in the treatment of certain types of cancer. Clearly the impact of thalidomide would have been viewed very differently in the 1950s compared with the 1960s or today.
In viewing impact evaluations it is important to consider not only who has evaluated the work but the purpose of the evaluation to determine the limits and relevance of an assessment exercise. In this article, we draw on a broad range of examples with a focus on methods of evaluation for research impact within Higher Education Institutions (HEIs). As part of this review, we aim to explore the following questions:
What are the reasons behind trying to understand and evaluate research impact?
What are the methodologies and frameworks that have been employed globally to assess research impact and how do these compare?
What are the challenges associated with understanding and evaluating research impact?
What indicators, evidence, and impacts need to be captured within developing systems
2. Why evaluate research impact?
What are the reasons behind trying to understand and evaluate research impact? Throughout history, the activities of a university have been to provide both education and research, but the fundamental purpose of a university was perhaps described in the writings of mathematician and philosopher Alfred North Whitehead (1929).
‘The justification for a university is that it preserves the connection between knowledge and the zest of life, by uniting the young and the old in the imaginative consideration of learning. The university imparts information, but it imparts it imaginatively. At least, this is the function which it should perform for society. A university which fails in this respect has no reason for existence. This atmosphere of excitement, arising from imaginative consideration transforms knowledge.’
In undertaking excellent research, we anticipate that great things will come and as such one of the fundamental reasons for undertaking research is that we will generate and transform knowledge that will benefit society as a whole.
One might consider that by funding excellent research, impacts (including those that are unforeseen) will follow, and traditionally, assessment of university research focused on academic quality and productivity. Aspects of impact, such as value of Intellectual Property, are currently recorded by universities in the UK through their Higher Education Business and Community Interaction Survey return to Higher Education Statistics Agency; however, as with other public and charitable sector organizations, showcasing impact is an important part of attracting and retaining donors and support (Kelly and McNicoll 2011).
The reasoning behind the move towards assessing research impact is undoubtedly complex, involving both political and socio-economic factors, but, nevertheless, we can differentiate between four primary purposes.
HEIs overview. To enable research organizations including HEIs to monitor and manage their performance and understand and disseminate the contribution that they are making to local, national, and international communities.
Accountability. To demonstrate to government, stakeholders, and the wider public the value of research. There has been a drive from the UK government through Higher Education Funding Council for England (HEFCE) and the Research Councils (HM Treasury 2004) to account for the spending of public money by demonstrating the value of research to tax payers, voters, and the public in terms of socio-economic benefits (European Science Foundation 2009), in effect, justifying this expenditure (Davies Nutley, and Walter 2005; Hanney and González-Block 2011).
Inform funding. To understand the socio-economic value of research and subsequently inform funding decisions. By evaluating the contribution that research makes to society and the economy, future funding can be allocated where it is perceived to bring about the desired impact. As Donovan (2011) comments, ‘Impact is a strong weapon for making an evidence based case to governments for enhanced research support’.
Understand. To understand the method and routes by which research leads to impacts to maximize on the findings that come out of research and develop better ways of delivering impact.
The growing trend for accountability within the university system is not limited to research and is mirrored in assessments of teaching quality, which now feed into evaluation of universities to ensure fee-paying students’ satisfaction. In demonstrating research impact, we can provide accountability upwards to funders and downwards to users on a project and strategic basis (Kelly and McNicoll 2011). Organizations may be interested in reviewing and assessing research impact for one or more of the aforementioned purposes and this will influence the way in which evaluation is approached.
It is important to emphasize that ‘Not everyone within the higher education sector itself is convinced that evaluation of higher education activity is a worthwhile task’ (Kelly and McNicoll 2011). The University and College Union (University and College Union 2011) organized a petition calling on the UK funding councils to withdraw the inclusion of impact assessment from the REF proposals once plans for the new assessment of university research were released. This petition was signed by 17,570 academics (52,409 academics were returned to the 2008 Research Assessment Exercise), including Nobel laureates and Fellows of the Royal Society (University and College Union 2011). Impact assessments raise concerns over the steer of research towards disciplines and topics in which impact is more easily evidenced and that provide economic impacts that could subsequently lead to a devaluation of ‘blue skies’ research. Johnston (Johnston 1995) notes that by developing relationships between researchers and industry, new research strategies can be developed. This raises the questions of whether UK business and industry should not invest in the research that will deliver them impacts and who will fund basic research if not the government? Donovan (2011) asserts that there should be no disincentive for conducting basic research. By asking academics to consider the impact of the research they undertake and by reviewing and funding them accordingly, the result may be to compromise research by steering it away from the imaginative and creative quest for knowledge. Professor James Ladyman, at the University of Bristol, a vocal adversary of awarding funding based on the assessment of research impact, has been quoted as saying that ‘…inclusion of impact in the REF will create “selection pressure,” promoting academic research that has “more direct economic impact” or which is easier to explain to the public’ (Corbyn 2009).
Despite the concerns raised, the broader socio-economic impacts of research will be included and count for 20% of the overall research assessment, as part of the REF in 2014. From an international perspective, this represents a step change in the comprehensive nature to which impact will be assessed within universities and research institutes, incorporating impact from across all research disciplines. Understanding what impact looks like across the various strands of research and the variety of indicators and proxies used to evidence impact will be important to developing a meaningful assessment.
3. Evaluating research impact
What are the methodologies and frameworks that have been employed globally to evaluate research impact and how do these compare? The traditional form of evaluation of university research in the UK was based on measuring academic impact and quality through a process of peer review (Grant 2006). Evidence of academic impact may be derived through various bibliometric methods, one example of which is the H index, which has incorporated factors such as the number of publications and citations. These metrics may be used in the UK to understand the benefits of research within academia and are often incorporated into the broader perspective of impact seen internationally, for example, within the Excellence in Research for Australia and using Star Metrics in the USA, in which quantitative measures are used to assess impact, for example, publications, citation, and research income. These ‘traditional’ bibliometric techniques can be regarded as giving only a partial picture of full impact (Bornmann and Marx 2013) with no link to causality. Standard approaches actively used in programme evaluation such as surveys, case studies, bibliometrics, econometrics and statistical analyses, content analysis, and expert judgment are each considered by some (Vonortas and Link, 2012) to have shortcomings when used to measure impacts.
Incorporating assessment of the wider socio-economic impact began using metrics-based indicators such as Intellectual Property registered and commercial income generated (Australian Research Council 2008). In the UK, more sophisticated assessments of impact incorporating wider socio-economic benefits were first investigated within the fields of Biomedical and Health Sciences (Grant 2006), an area of research that wanted to be able to justify the significant investment it received. Frameworks for assessing impact have been designed and are employed at an organizational level addressing the specific requirements of the organization and stakeholders. As a result, numerous and widely varying models and frameworks for assessing impact exist. Here we outline a few of the most notable models that demonstrate the contrast in approaches available.
The Payback Framework is possibly the most widely used and adapted model for impact assessment (Wooding et al. 2007; Nason et al. 2008), developed during the mid-1990s by Buxton and Hanney, working at Brunel University. It incorporates both academic outputs and wider societal benefits (Donovan and Hanney 2011) to assess outcomes of health sciences research. The Payback Framework systematically links research with the associated benefits (Scoble et al. 2010; Hanney and González-Block 2011) and can be thought of in two parts: a model that allows the research and subsequent dissemination process to be broken into specific components within which the benefits of research can be studied, and second, a multi-dimensional classification scheme into which the various outputs, outcomes, and impacts can be placed (Hanney and Gonzalez Block 2011). The Payback Framework has been adopted internationally, largely within the health sector, by organizations such as the Canadian Institute of Health Research, the Dutch Public Health Authority, the Australian National Health and Medical Research Council, and the Welfare Bureau in Hong Kong (Bernstein et al. 2006; Nason et al. 2008; CAHS 2009; Spaapen et al. n.d.). The Payback Framework enables health and medical research and impact to be linked and the process by which impact occurs to be traced. For more extensive reviews of the Payback Framework, see Davies et al. (2005), Wooding et al. (2007), Nason et al. (2008), and Hanney and González-Block (2011).
A very different approach known as Social Impact Assessment Methods for research and funding instruments through the study of Productive Interactions (SIAMPI) was developed from the Dutch project Evaluating Research in Context and has a central theme of capturing ‘productive interactions’ between researchers and stakeholders by analysing the networks that evolve during research programmes (Spaapen and Drooge, 2011; Spaapen et al. n.d.). SIAMPI is based on the widely held assumption that interactions between researchers and stakeholder are an important pre-requisite to achieving impact (Donovan 2011; Hughes and Martin 2012; Spaapen et al. n.d.). This framework is intended to be used as a learning tool to develop a better understanding of how research interactions lead to social impact rather than as an assessment tool for judging, showcasing, or even linking impact to a specific piece of research. SIAMPI has been used within the Netherlands Institute for health Services Research (SIAMPI n.d.). ‘Productive interactions’, which can perhaps be viewed as instances of knowledge exchange, are widely valued and supported internationally as mechanisms for enabling impact and are often supported financially for example by Canada’s Social Sciences and Humanities Research Council, which aims to support knowledge exchange (financially) with a view to enabling long-term impact. In the UK, UK Department for Business, Innovation, and Skills provided funding of £150 million for knowledge exchange in 2011–12 to ‘help universities and colleges support the economic recovery and growth, and contribute to wider society’ (Department for Business, Innovation and Skills 2012). While valuing and supporting knowledge exchange is important, SIAMPI perhaps takes this a step further in enabling these exchange events to be captured and analysed. One of the advantages of this method is that less input is required compared with capturing the full route from research to impact. A comprehensive assessment of impact itself is not undertaken with SIAMPI, which make it a less-suitable method where showcasing the benefits of research is desirable or where this justification of funding based on impact is required.
The first attempt globally to comprehensively capture the socio-economic impact of research across all disciplines was undertaken for the Australian Research Quality Framework (RQF), using a case study approach. The RQF was developed to demonstrate and justify public expenditure on research, and as part of this framework, a pilot assessment was undertaken by the Australian Technology Network. Researchers were asked to evidence the economic, societal, environmental, and cultural impact of their research within broad categories, which were then verified by an expert panel (Duryea et al. 2007) who concluded that the researchers and case studies could provide enough qualitative and quantitative evidence for reviewers to assess the impact arising from their research (Duryea et al. 2007). To evaluate impact, case studies were interrogated and verifiable indicators assessed to determine whether research had led to reciprocal engagement, adoption of research findings, or public value. The RQF pioneered the case study approach to assessing research impact; however, with a change in government in 2007, this framework was never implemented in Australia, although it has since been taken up and adapted for the UK REF.
In developing the UK REF, HEFCE commissioned a report, in 2009, from RAND to review international practice for assessing research impact and provide recommendations to inform the development of the REF. RAND selected four frameworks to represent the international arena (Grant et al. 2009). One of these, the RQF, they identified as providing a ‘promising basis for developing an impact approach for the REF’ using the case study approach. HEFCE developed an initial methodology that was then tested through a pilot exercise. The case study approach, recommended by the RQF, was combined with ‘significance’ and ‘reach’ as criteria for assessment. The criteria for assessment were also supported by a model developed by Brunel for ‘measurement’ of impact that used similar measures defined as depth and spread. In the Brunel model, depth refers to the degree to which the research has influenced or caused change, whereas spread refers to the extent to which the change has occurred and influenced end users. Evaluation of impact in terms of reach and significance allows all disciplines of research and types of impact to be assessed side-by-side (Scoble et al. 2010).
The range and diversity of frameworks developed reflect the variation in purpose of evaluation including the stakeholders for whom the assessment takes place, along with the type of impact and evidence anticipated. The most appropriate type of evaluation will vary according to the stakeholder whom we are wishing to inform. Studies (Buxton, Hanney and Jones 2004) into the economic gains from biomedical and health sciences determined that different methodologies provide different ways of considering economic benefits. A discussion on the benefits and drawbacks of a range of evaluation tools (bibliometrics, economic rate of return, peer review, case study, logic modelling, and benchmarking) can be found in the article by Grant (2006).
Evaluation of impact is becoming increasingly important, both within the UK and internationally, and research and development into impact evaluation continues, for example, researchers at Brunel have developed the concept of depth and spread further into the Brunel Impact Device for Evaluation, which also assesses the degree of separation between research and impact (Scoble et al. working paper).
4. Impact and the REF
Although based on the RQF, the REF did not adopt all of the suggestions held within, for example, the option of allowing research groups to opt out of impact assessment should the nature or stage of research deem it unsuitable (Donovan 2008). In 2009–10, the REF team conducted a pilot study for the REF involving 29 institutions, submitting case studies to one of five units of assessment (in clinical medicine, physics, earth systems and environmental sciences, social work and social policy, and English language and literature) (REF2014 2010). These case studies were reviewed by expert panels and, as with the RQF, they found that it was possible to assess impact and develop ‘impact profiles’ using the case study approach (REF2014 2010).
From 2014, research within UK universities and institutions will be assessed through the REF; this will replace the Research Assessment Exercise, which has been used to assess UK research since the 1980s. Differences between these two assessments include the removal of indicators of esteem and the addition of assessment of socio-economic research impact. The REF will therefore assess three aspects of research:
Research impact is assessed in two formats, first, through an impact template that describes the approach to enabling impact within a unit of assessment, and second, using impact case studies that describe the impact taking place following excellent research within a unit of assessment (REF2014 2011a). HEFCE indicated that impact should merit a 25% weighting within the REF (REF2014 2011b); however, this has been reduced for the 2014 REF to 20%, perhaps as a result of feedback and lobbying, for example, from the Russell Group and Million + group of Universities who called for impact to count for 15% (Russell Group 2009; Jump 2011) and following guidance from the expert panels undertaking the pilot exercise who suggested that during the 2014 REF, impact assessment would be in a developmental phase and that a lower weighting for impact would be appropriate with the expectation that this would be increased in subsequent assessments (REF2014 2010).
The quality and reliability of impact indicators will vary according to the impact we are trying to describe and link to research. In the UK, evidence and research impacts will be assessed for the REF within research disciplines. Although it can be envisaged that the range of impacts derived from research of different disciplines are likely to vary, one might question whether it makes sense to compare impacts within disciplines when the range of impact can vary enormously, for example, from business development to cultural changes or saving lives? An alternative approach was suggested for the RQF in Australia, where it was proposed that types of impact be compared rather than impact from specific disciplines.
Providing advice and guidance within specific disciplines is undoubtedly helpful. It can be seen from the panel guidance produced by HEFCE to illustrate impacts and evidence that it is expected that impact and evidence will vary according to discipline (REF2014 2012). Why should this be the case? Two areas of research impact health and biomedical sciences and the social sciences have received particular attention in the literature by comparison with, for example, the arts. Reviews and guidance on developing and evidencing impact in particular disciplines include the London School of Economics (LSE) Public Policy Group’s impact handbook (LSE n.d.), a review of the social and economic impacts arising from the arts produced by Reeve (Reeves 2002), and a review by Kuruvilla et al. (2006) on the impact arising from health research. Perhaps it is time for a generic guide based on types of impact rather than research discipline?
5. The challenges of impact evaluation
What are the challenges associated with understanding and evaluating research impact? In endeavouring to assess or evaluate impact, a number of difficulties emerge and these may be specific to certain types of impact. Given that the type of impact we might expect varies according to research discipline, impact-specific challenges present us with the problem that an evaluation mechanism may not fairly compare impact between research disciplines.
5.1 Time lag
The time lag between research and impact varies enormously. For example, the development of a spin out can take place in a very short period, whereas it took around 30 years from the discovery of DNA before technology was developed to enable DNA fingerprinting. In development of the RQF, The Allen Consulting Group (2005) highlighted that defining a time lag between research and impact was difficult. In the UK, the Russell Group Universities responded to the REF consultation by recommending that no time lag be put on the delivery of impact from a piece of research citing examples such as the development of cardiovascular disease treatments, which take between 10 and 25 years from research to impact (Russell Group 2009). To be considered for inclusion within the REF, impact must be underpinned by research that took place between 1 January 1993 and 31 December 2013, with impact occurring during an assessment window from 1 January 2008 to 31 July 2013. However, there has been recognition that this time window may be insufficient in some instances, with architecture being granted an additional 5-year period (REF2014 2012); why only architecture has been granted this dispensation is not clear, when similar cases could be made for medicine, physics, or even English literature. Recommendations from the REF pilot were that the panel should be able to extend the time frame where appropriate; this, however, poses difficult decisions when submitting a case study to the REF as to what the view of the panel will be and whether if deemed inappropriate this will render the case study ‘unclassified’.
5.2 The developmental nature of impact
Impact is not static, it will develop and change over time, and this development may be an increase or decrease in the current degree of impact. Impact can be temporary or long-lasting. The point at which assessment takes place will therefore influence the degree and significance of that impact. For example, following the discovery of a new potential drug, preclinical work is required, followed by Phase 1, 2, and 3 trials, and then regulatory approval is granted before the drug is used to deliver potential health benefits. Clearly there is the possibility that the potential new drug will fail at any one of these phases but each phase can be classed as an interim impact of the original discovery work on route to the delivery of health benefits, but the time at which an impact assessment takes place will influence the degree of impact that has taken place. If impact is short-lived and has come and gone within an assessment period, how will it be viewed and considered? Again the objective and perspective of the individuals and organizations assessing impact will be key to understanding how temporal and dissipated impact will be valued in comparison with longer-term impact.
Impact is derived not only from targeted research but from serendipitous findings, good fortune, and complex networks interacting and translating knowledge and research. The exploitation of research to provide impact occurs through a complex variety of processes, individuals, and organizations, and therefore, attributing the contribution made by a specific individual, piece of research, funding, strategy, or organization to an impact is not straight forward. Husbands-Fealing suggests that to assist identification of causality for impact assessment, it is useful to develop a theoretical framework to map the actors, activities, linkages, outputs, and impacts within the system under evaluation, which shows how later phases result from earlier ones. Such a framework should be not linear but recursive, including elements from contextual environments that influence and/or interact with various aspects of the system. Impact is often the culmination of work within spanning research communities (Duryea et al. 2007). Concerns over how to attribute impacts have been raised many times (The Allen Consulting Group 2005; Duryea et al. 2007; Grant et al. 2009), and differentiating between the various major and minor contributions that lead to impact is a significant challenge.
Figure 1, replicated from Hughes and Martin (2012), illustrates how the ease with which impact can be attributed decreases with time, whereas the impact, or effect of complementary assets, increases, highlighting the problem that it may take a considerable amount of time for the full impact of a piece of research to develop but because of this time and the increase in complexity of the networks involved in translating the research and interim impacts, it is more difficult to attribute and link back to a contributing piece of research.