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 above and described in videos (to be posted) 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.本数据集为2013年国际语义网会议（International Semantic Web Conference）上举办的关联科学研讨会（Linked Science Workshop 2013，http://linkedscience.org/events/lisc2013/）的讨论组成果。 与会者被要求构建相关矩阵，以阐明语义网（Semantic Web）/关联数据（Linked Data）解决方案可如何解决科学研究的可重现性（reproducibility）及其他同范畴（re*-类）问题。相关成果已记录于前述电子表格中，相关说明视频将在后续发布。 此外，与会者还为关联科学及更广范围的语义网社区制定了一系列挑战任务，以助力攻克上述可重现性类问题。详见下文或文件lisc2013-challenges.txt。 ### 关联科学社区挑战 关联科学2013研讨会讨论参与者为关联数据/语义网社区明确了多项挑战，旨在推动科学研究的可重现性（及其他同范畴问题，如内容复用、成果复用等）。 1) 推广面向可重现性的关联数据基础技术：诸多基础关联数据技术（例如内容协商（content negotiation）或可解引用URL（dereferenceable URLs）的使用）可应用于科学研究的可重现性工作。本项工作的目标是开发一系列操作指南，帮助电子科学研究者（e-scientists）掌握如何运用这些技术解决科学研究中的可重现性类问题。需特别注意的是，需将这些解决方案与领域科学家的实际问题直接绑定。 2) 整合语义网技术与科研出版流程：出版是科学研究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，以实现科研成果的复用。 3) 简化科研数据发布与后续复用流程，使其便捷性优于直接使用自有数据：发布公开数据应能为科研人员拓展更多研究可能。我们能否实现这样的目标：让数据发布对科研人员自身具备极高实用价值，从而使其成为科研人员的优先选择？ 4) 提供科学研究流程的全维度一体化视图：关联数据技术天生适配集成与聚合。我们能否利用这些技术，针对科研实验相关的各类问题提供覆盖研究开展方式、研究内容、开展时间、开展地点及研究动因的一体化信息视图？ 5) 从技术与社会双维度构建数据版权处理机制：版权问题的处理往往并非易事。我们能否通过自动化方式协助科研人员解决版权问题，从而消除科研成果复用的障碍？ 6) 在本领域核心会议中引入基于替代计量学（altmetric）的奖项：推动科研成果共享是解决可重现性类问题的重要一环。我们应遵循“自身率先使用自研方案”的行业准则，在主流语义网会议中推广并奖励科研共享行为。我们建议设立基于替代计量指标的奖项。 7) 确保欧洲生物信息学研究所（EBI）的RDF平台不会在两年后停运：欧洲生物信息学研究所已为其诸多核心数据集发布了带有SPARQL端点（SPARQL endpoint）的RDF版本，并将该服务开放两年，同时将根据使用情况评估是否长期保留该服务。该平台是利用关联数据实现科研可重现性的关键资源，我们应确保其得以持续运营。