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.本数据集收录了于国际语义网会议（International Semantic Web Conference）举办的2013年链接科学研讨会（Linked Science Workshop 2013）的讨论小组成果，相关活动网址为：http://linkedscience.org/events/lisc2013/。 参会者被要求构建一份分析表格，用以梳理语义网（Semantic Web）/链接数据（Linked Data）解决方案可如何助力解决科研可重复性（reproducibility）及其他相关（re*）问题。相关成果已记录于前文提及的电子表格中，并将通过后续发布的视频进行说明。此外，参会者还为链接科学及更广泛的语义网社区梳理了一系列挑战，以助力解决上述re*类问题。相关内容详见下文或文件lisc2013-challenges.txt。 ### 链接科学社区挑战 2013年链接科学研讨会的讨论参与者为链接数据/语义网社区明确了多项挑战，旨在助力科研可重复性（及其他相关re*类问题，如内容复用、重复使用等）的实现。 1. **推广面向可重复性的链接数据基础知识** 诸多基础链接数据技术（如内容协商（content negotiation）或可解引用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，指导数字化科研人员（e-scientists）如何运用此类技术解决科研中的re*类问题，重点需将这些解决方案与领域科学家的实际问题直接绑定。 2. **将语义网技术与出版流程相整合** 出版是科研流程与科研成果复用问题的核心环节。应将语义网技术整合至出版流程中，以实现科研成果的复用。 3. **降低科研人员发布数据并后续使用数据的门槛，使其低于直接处理自有数据的成本** 发布数据应能为科研人员带来更多价值。我们能否实现这样的目标：让发布数据对科研人员自身具有足够高的实用价值，使其成为科研人员的首选操作？ 4. **提供科研流程的“如何、是什么、何时、何地、为何”一体化视图** 链接数据技术天生适配集成与聚合。我们能否借助此类技术，为科研人员针对科学实验可能提出的各类问题提供一体化的信息视图？ 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此类版权问题，从而消除科研成果复用的障碍？ 6. **在本领域的核心会议中引入基于替代计量学（altmetric）的奖项** 助力解决re*类问题的核心一环是推动科研成果共享。我们应率先践行自身倡导的共享理念，在主流语义网会议中推广并奖励科研共享行为，因此提议设立基于替代计量学指标的奖项。 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（European Bioinformatics Institute, EBI）已为其多项核心数据集发布了带有SPARQL端点（SPARQL endpoint）的RDF版本，该平台原计划仅开放两年，并将通过平台使用情况评估决定是否长期保留。该平台是运用链接数据实现科研可重复性的关键资源，需确保其长期稳定运行。