When I wrote on 2 August that we would not know how serious Clarivate Analytics were about a strategy that rebuilt Web of Science in face of changed and changing market requirements until we saw who was going to manage the changes, I could not have known how rapidly that question would be answered . The appointment of Annette Thomas announced this morning answers all questions . This is serious. It will be led by the one person in the marketplace qualified to do it , and the fact that she has accepted the role indicates that the intent will be backed by the investment in technology and acquisitions to finish the job .

And the job is nothing less than reshaping the way in which scholarship is assessed and scholarly reputation is managed in this still- new century . Now the driving needs are those of funders , government and private , and the researchers they employ and support . As in the distant days of ISI and the impact factor , a new compact is needed to reflect both the totality of scholarly communication in the age of data and the tendency for peer review to be reconcentrated at the inception of research and for some years after its publication , rather than pre- publication as envisaged in the print world . Clarivate has the brands- from Scholar One in preparing material for public availability through to Web of Science itself in recording the aftershocks . It also has the experience  to create the evolved impact factor in a world of multiple and alt- metrics. Now it has the Leadership as well .

Meanwhile the market is no less acquisitive . Elsevier’s move on  bepress takes it into repository markets and , in tune with my headline last week on the end of journal publishing and its own recent purchase of SSRN , strengthens the thought that article availability outside of journal publishing at the right time and with effective post- availability review ( and a good way of collecting and scoring it) is becoming more important in many disciplines . And whatever happens next must fit the requirements of research in disciplines that are not growing together in their needs in any noticeable way ,and cover practical , applied and ” blue- sky” needs throughout STM and HSS.

Yet surely the tools are present now in a way they never were for ISI . This is the age of machine learning and AI . We can design solutions as never before that fit into the workflows of endusers . Reputation , Rating , assessment should be automatic functions in a world that depends on metadata , designs discipline based ontological structures and relies upon semantic analysis to lend meaning to data . While all this is true , the implication is that while Eugene Garfield could impose order on chaos through strong leadership and academic authority , the new leadership at Clarivate , to succeed in this great purpose , will have to know their customers as never before as they put together progressive and coherent answers to the questions of how new and how good research and researchers really are .



Despite a beautifully written blog on the F1000 site , the launch of ORC  ( https://blog.f1000.com) did not get quite the blaze of commentary that I expected . Perhaps it was the timing , as researchers move away on summer holidays . Perhaps it was a bit sparing in terms of detail – more of a land claim than a plan . Perhaps it was unfashionably big thinking – most of the great conceptualisations of Vitek Tracz have taken some years before publishers have realised what they meant – and in that same moment that they have to buy them . And after all , F1000 sat there for a year or two before leading funders realised it was the perfect funder publishing vehicle . So we should not expect an ORC ( Open Research Central) , be it a Tolkien nasty or a Blakean benign , to be an immediate success , but it certainly lays down potential answers to one of the two key post- Journal Publishing questions .


As we move remorselessly into a world where no individual or team can hope either to read or keep track of the published research in any defined field without machine learning or AI support, primary publishing becomes less important than getting into the dataflow and thus into the workflow of scholarship .  It still helps to be published in Nature or Cell , but that could take place after visibility on figshare or F1000. Get the metadata right , ensure the visibility and reputation management can commence . So the first question about the post journal world is ” Who keeps score and how is worth measured ?”  And then we come to the next question . If the article is simply a waystage data report , and all the other materials of scholarly communication ( blogs , presentations etc) can be tracked , and the data from an experimental sequence can be as important for reproducibility as the article , and reports of  successfully repeated experiments are as important in some instances as innovation, then the scheme of Notification and communication and cross-referencing must be open , community-owned and universally available , so how does it get established ?


As I see it , Vitek is proposing the answer to the second question . His majestic conception is to establish the open channel which completely substitutes current commercial publishing. Using the ideas of open post-publication peer review that he piloted successfully with F1000 for Wellcome and Gates , he will try to cut off the commercial publishers at source by depriving them of article flows for second and third tier journals , even if branded journals still survive as republishers of the best of the best . This is a well-aimed blow , since second tier journals with high circulations and less costly peer review are often the most profitable . . Of course , China , India and Russia may not move at the same rate as Europe and the USA . And , again , the move in some disciplines to erode article publishing into a data dump , a summary finding and a citation , will happen more slowly in other fields and may never happen at all in still others . . But the challenge of ORC is quite clear – here is an open vehicle with open governance that can do the job in a funder-dominated marketplace .


But I am still intrigued by the answer to the first question . Who is the accountable scorer who provides the summary reputation  scoring . The data leader in the current market is almost certainly Elsevier , but can they become the ultimate player in reputation while remaining the largest publisher of journals ?  Wiley appears to be in strategic schizophrenia and Springer Nature need to clear an IPO hurdle ( and decide on buying Digital Science – a critical decision here ) , so the Big Publisher market seems a long way away from coming up with any form of radical initiative. As I have suggested , peer review , if it ceases to be a pre-publication requirement, may once again be the key to all of this . If indeed peer review becomes important at the initiation of a research project- project proposal selection and evaluation of researchers members (the funding award ) – and post-publication , where continual re-evaluation will take place for up to three years in some disciplines , then several attributes are required . This is about a system of measurement that  embraces both STM and HSS , yet is flexible enough to allow for discipline-based development . It requires a huge ability to process and evaluate metadata . It needs to be able to score the whole value chain of researcher activity , not just the publishing element . And for neutrality and trust by researchers , funders and governments it cannot be a journal publisher who does this .


In fact the only company who can do it without starting again is  the one who has done it already in the transition from print to digital . Much of the skills requirement is there already at Clarivate Analytics , the former Thomson IP and Science . The old Web of Science unit , inheritors of the world of ISI and Gene Garfield , pointed clearly in this direction with the purchase of Publons , the peer review record system earlier this year . After years of working the librarian market , however , the focus has to change . As Vitek demonstrates , funders and researchers are primary markets , though there will be a real spin-off of secondary products from the data held in a compressive datasource of evaluation . And new relationships will be needed to create trusted systems for all user types . The current private equity players still  need to invest – in a semantic data platform which can unsilo multi-sourced data and analyse it , and in  some innovative AI plays like Wizdom.AI , bought recently by Taylor and Francis . Although it is relatively late in the day , and I could argue that Thomson should have been investing this opportunity five years ago , there is still time to recreate  the old Web of Science positioning in a new , rapidly changing marketplace .  When Clarivate’s PE  ownership break it up and sell it on , as they will within 3-5 years , then I am sure there will be good competition for the patent businesses ..


But the jewel in the crown , with a huge value  appreciation ( and a potential exit to funders ) could be the integrated science side of the business . And in order to get there , all that Clarivate need to find is the strategic leadership to carry out this huge transformation . When we see what they do in this regard , we shall see whether they are up for the challenge .