Licenses and protocols for Open Science – the debate continues

This is an important discussion that has been going on in disparate places, but primarily at the moment is on the Open Science mailing list maintained by the OKF (see here for an archive of the relevant thread). To try and keep things together and because Yishay Mor asked, I thought I would try to summarize the current state of the debate.

The key aim here is to find a form of practice that will enhance data availability, and protect it into the future.

There is general agreement that there is a need for some sort of declaration associated with making data available. Clarity is important and the minimum here would be a clear statement of intention.Where there is disagreement is over what form this should take. Rufus Pollock started by giving the reasons why this should be a formal license. Rufus believes that a license provides certainty and clarity in a way that a protocol, statement of principles, or expression of community standards can not.  I, along with Bill Hooker and John Wilbanks [links are to posts on mailing list], expressed a concern that actually the use of legal language, and the notion of “ownership” of this by lawyers rather than scientists would have profound negative results. Andy Powell points out that this did not seem to occur either in the Open Source movement or with much of the open content community. But I believe he also hits the nail on the head with the possible reason:

I suppose the difference is that software space was already burdened with heavily protective licences and that the introduction of open licences was perceived as a step in the right direction, at least by those who like that kind of thing.         

Scientific data has a history of being assumed to be in public domain (see the lack of any license at PDB or Genbank or most other databases) so there isn’t the same sense of pushing back from an existing strong IP or licensing regime. However I think there is broad agreement that this protocol or statement would look a lot like a license and would aim to have the legal effect of at least providing clarity over the rights of users to copy, re-purpose, and fork the objects in question.

Michael Nielsen and John Wilbanks have expressed a concern about the potential for license proliferation and incompatibility. Michael cites the example of Apache, Mozilla, and GPL2 licenses. This feeds into the issue of the acceptability, or desirability of share-alike provisions which is an area of significant division. Heather Morrison raises the issue of dealing with commercial entities who may take data and use technical means to effectively take it out of the public domain, citing the takeover of OAIster by OCLC as a potential example.

This is a real area of contention I think because some of us (including me) would see this in quite a positive light (data being used effectively in a commercial setting is better than it not being used at all) as long as the data is still both legally and technically in the public domain. Indeed this is at the core of the power of a public domain declaration. The issue of finding the resources that support the preservation of research objects in the (accessible) public domain is a separate one but in my view if we don’t embrace the idea that money can and should be made off data placed in the public domain then we are going to be in big trouble sooner or later because the money will simply run out.

On the flip side of the argument is a strong tradition of arguing that viral licensing and share alike provisions protect the rights and personal investment of individuals and small players against larger commercial entities. Many of the people who support open data belong to this tradition, often for very good historical reasons. I personally don’t disagree with the argument on a logical level, but I think for scientific data we need to provide clear paths for commercial exploitation because using science to do useful things costs a lot of money. If you want people want to invest in using the outputs of publicly funded research you need to provide them with the certainty that they can legitimately use that data within their current business practice. I think it is also clear that those of us who take this line need to come up with a clear and convincing way of expressing this argument because it is at the centre of the objection to “protection” via licenses and share alike provisions.

Finally Yishay brings us back to the main point. Something to keep focussed on:

I may be off the mark, but I would argue that there’s a general principle to consider here. I hold that any data collected by public money should be made freely available to the public, for any use that contributes to the public good. Strikes me as a no-brainer, but of course – we have a long way to go. If we accept this principle, the licensing follows.         

Obviously I don’t agree with the last sentence – I would say that dedication to the public domain follows – but the principle I think is something we can agree that we are aiming for.

More on the science exchance – or building and capitalising a data commons

Image from Wikipedia via ZemantaBanknotes from all around the World donated by visitors to the British Museum, London

Following on from the discussion a few weeks back kicked off by Shirley at One Big Lab and continued here I’ve been thinking about how to actually turn what was a throwaway comment into reality:

What is being generated here is new science, and science isn’t paid for per se. The resources that generate science are supported by governments, charities, and industry but the actual production of science is not supported. The truly radical approach to this would be to turn the system on its head. Don’t fund the universities to do science, fund the journals to buy science; then the system would reward increased efficiency.

There is a problem at the core of this. For someone to pay for access to the results, there has to be a monetary benefit to them. This may be through increased efficiency of their research funding but that’s a rather vague benefit. For a serious charitable or commercial funder there has to be the potential to either make money, or at least see that the enterprise could become self sufficient. But surely this means monetizing the data somehow? Which would require restrictive licences, which is not at the end what we’re about.

The other story of the week has been the, in the end very useful, kerfuffle caused by ChemSpider moving to a CC-BY-SA licence, and the confusion that has been revealed regarding data, licencing, and the public domain. John Wilbanks, whose comments on the ChemSpider licence, sparked the discussion has written two posts [1, 2] which I found illuminating and have made things much clearer for me. His point is that data naturally belongs in the public domain and that the public domain and the freedom of the data itself needs to be protected from erosion, both legal, and conceptual that could be caused by our obsession with licences. What does this mean for making an effective data commons, and the Science Exchange that could arise from it, financially viable? Continue reading “More on the science exchance – or building and capitalising a data commons”

Protocols for Open Science

interior detail, stata center, MIT. just outside science commons offices.

One of the strong messages that came back from the workshop we held at the BioSysBio meeting was that protocols and standards of behaviour were something that people would appreciate having available. There are many potential issues that are raised by the idea of a ‘charter’ or ‘protocol’ for open science but these are definitely things that are worth talking about. I thought I would through a few ideas out and see where they go. There are some potentially serious contradictions to be worked through. Continue reading “Protocols for Open Science”