LISC 2013 - Results: Discussion Groups on Semantic Web and Reproducibility

Results of discussion groups at the Linked Science Workshop 2013 held at the International Semantic Web Conference. (http://linkedscience.org/events/lisc2013/) Participants were asked to develop a matrices about how semantic web/linked data solutions can help address reproducbility/re* problems. The results are documented in the spreadsheets and videos above. The participants also developed a set of challenges for the Linked Science and broader semantic web community to help address these re* problems. See below or (lisc2013-challenges.txt) Linked Science Community Challenges The Linked Science 2013 workshop discussion participants identified several challenges to the Linked Data/Semantic Web community in order to help reproducibility (and other re* problems i.e. repurposing, reuse, etc) in science. 1) Promote the basics of linked data for reproducibility Many basic linked data technologies (e.g. content negotiation or the use of dereferenceable URLs) could be usable for scientific reproducibility and reproducibility. The goal here would be to develop a set of how-to documents that guide e-scientists on how to use these technologies to support scientific re* problems. An important point would be to tie these solutions directly to domain scientist problems. 2) Integrate Semantic Web technologies and the publishing process. Publishing is central to the scientific process and the issues of reusing scientific work. Semantic Web technologies should be integrated into the publishing process to enable reuse. 3) Make it easier to publish data and then work with it than work directly on your own data. Publishing data should enable a scientist to do more. Can we make it so that publishing data is so useful to the scientist themselves that it would be their first option? 4) Provide an integrated view of the how, what, when, where, and why of the scientific process. Linked data technologies are designed for integration and aggregation. Can we use these technologies to provide an integrated view over all the questions one might have with respect to a scientific experiment? 5) Provide a mechanisms for dealing with copyright on data both from a technical and social perspective. Dealing with copyright is not always straightforward. Can we eliminate the barriers to reuse through helping scientists with these copyright issues in an automatic fashion. 6) Get an altmetric based award into one of our own venues. Part of supporting re* problems is promoting sharing. We should "eat are own dogfood" by promoting and rewarding sharing in the major semantic web venues. We suggest an award based on some sort of altmetric. 7) Make sure the EBI RDF platform does not get shut down in two years. The European Bioinformatics Institute has released RDF versions with SPARQL endpoints for many of their core data sets. They are making it available for two years and checking on whether it is used to determine if it continues in the long term. This is a key data resource for using Linked Data for reproducibility - let's make sure it keeps going.

本数据集收录了2013年于国际语义网会议（International Semantic Web Conference）举办的链接科学研讨会（Linked Science Workshop）分组讨论成果（详情见http://linkedscience.org/events/lisc2013/）。与会者被要求围绕"语义网/关联数据（semantic web/linked data）解决方案如何助力解决科研可重复性（reproducibility）及其他相关问题"这一主题构建相关矩阵。相关讨论成果已整理至前述电子表格与视频资料中。

与会者还为链接科学及更广范围的语义网社区拟定了一系列挑战议题，以助力解决上述科研相关问题。详见下文或附件（lisc2013-challenges.txt）《链接科学社区挑战议题》。

2013年链接科学研讨会讨论参与者为关联数据/语义网社区梳理了多项挑战，旨在推动科研领域的可重复性（及再利用、复用等其他相关问题）。具体如下：
1) 推广面向可重复性的关联数据基础知识
诸多基础关联数据技术（例如内容协商（content negotiation）或可解析URL（dereferenceable URLs）的使用）均可应用于科研可重复性工作。本项工作的目标是开发一系列操作指南文档，指导电子科研人员（e-scientists）如何运用这些技术解决科研相关问题，且需将这些解决方案与领域科研人员的实际问题紧密结合。
2) 整合语义网技术与出版流程
出版是科研流程及科研成果复用问题的核心环节，应将语义网技术融入出版流程以实现成果复用。
3) 让数据发布与后续处理比直接处理本地数据更便捷
发布数据应能为科研人员带来更多价值。我们能否做到让数据发布对科研人员自身极具吸引力，使其成为科研人员的首选方案？
4) 提供科研流程的"如何、是什么、何时、何地与为何"整合视图
关联数据技术天生适配整合与聚合任务，我们能否利用这些技术，为科研人员针对科学实验可能提出的各类问题提供整合式的查询视图？
5) 从技术与社会双层面构建数据版权处理机制
版权问题处理往往并非易事。我们能否通过自动化方式协助科研人员解决版权问题，从而消除成果复用的障碍？
6) 在本社区的主流会议中引入基于替代计量指标（altmetric）的奖项
推动科研问题解决的核心之一是促进成果共享。我们应践行"自用其产"的理念，在主流语义网会议中推广并奖励成果共享行为，为此建议设立基于替代计量指标的奖项。
7) 确保欧洲生物信息研究所（European Bioinformatics Institute, EBI）的资源描述框架（Resource Description Framework, RDF）平台不会在两年后停运
欧洲生物信息研究所已为其多项核心数据集发布了搭载SPARQL端点的RDF版本，该平台的试用期限为两年，并将根据使用情况决定是否长期保留。该平台是利用关联数据实现科研可重复性的关键资源，我们应确保其持续运行。