In my previous post, I have alluded to the fact that the value of RePEc comes from linkages between identified elements. In the next post, I will set out a working example of linkage usage in the CollEc project. In this post, I’m discussing a direction for future work. It’s about creating new linkage type. Much of this is already implemented at SocioNet. SocioNet is a RePEc service that originated in Russia in the 1990s. They hold RePEc data and combine it with local data.
Recently, login data from the RePEc Author Service has become available to other RePEc service via a protocol known as openID. Soon RAS-registered users will be able to login to SocioNet without having to create a SocioNet account, just simply by using their RAS account. SocioNet then knows that you are an identified author. When you are logged into SocioNet in this way, SocioNet knows that you have written a bunch of papers, that I will now call “your papers”. Based on the knowledge of your authorship, it can assume that you know your work and the surrounding literature. It can give you get a personalized web interface based on RAS data. In that interface you will be able to conveniently supply further details about your work.
First, SocioNet can enquire about the role of your collaborators in a given research paper. In conventional abstracting and indexing data, all contributors to a paper are placed into a list of authors. But usually, the co-authors each have different roles in the papers writing process. You can indicate the roles using a simple controlled vocabulary.
Second, using SocioNet you will be able to provide linkages between papers. One of the linked papers has to be yours. The other paper may be yours, but it may not be.
Let’s look at cases where you wrote both papers that you want to link. One thing you may want to tell users is how papers relate to each other. So you can say that one paper is an abridged version of the other, that a third paper is a development of the fourth. Eventually, such relationships could be picked up by RePEc services to create commented links between your papers. This is particularly useful if you have a version of a paper you don’t like any more. You can point users to a better version of the paper.
When you only wrote one of the papers, the other paper has to be on the reference list of one of your papers. In that case you can bring in a vocabulary containing terms like “develops model from”, or “uses software from” or “uses data from”. There are two aspects to these document to document relations.
One is that guessing the context of a citation is really difficult using the automated ways in which the citation is actually being produced. If users can take a small amount of time to classify citations according to a simple menu than we would be able to get more valuable information about the structure of ideas across papers.
The other is that building relationship with sources of data and software would advertise the data and software and promote the sharing of these resources. RePEc already works with software. It would be great if it could work with datasets, i.e. as and when reusable datasets would be considered as publications in their own right, then users could point to a dataset used in the publication right in the metadata. It could then be possible to create a list of all the publications using a certain dataset. That would be a great way to unify papers on a certain topic and of course, to promote the dataset maintenance as an additional academic endeavour.