This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Aalbersberg, I.J., Dunham, J., & Koers, H. (2013). Connecting scientific articles with research data: New directions in online scholarly publishing. Data Science Journal, 12, WDS235–WDS242.AalbersbergI.J.DunhamJ.KoersH.2013Connecting scientific articles with research data: New directions in online scholarly publishingData Science Journal12WDS235WDS24210.2481/dsj.WDS-043Search in Google Scholar
Belter, C.W. (2014). Measuring the value of research data: A citation analysis of oceanographic data sets. PLOS One, 9(3), e92590.BelterC.W.2014Measuring the value of research data: A citation analysis of oceanographic data setsPLOS One93e9259010.1371/journal.pone.0092590396679124671177Search in Google Scholar
Boland, K., Ritze, D., Eckert, K., & Mathiak, B. (2012). Identifying references to datasets in publications. In Zaphiris P., Buchanan G., Rasmussen E., & Loizides F. (Eds.) Theory and Practice of Digital Libraries (pp. 150–161). Heidelberg: Springer.BolandK.RitzeD.EckertK.MathiakB.2012Identifying references to datasets in publicationsZaphirisP.BuchananG.RasmussenE.LoizidesF.Theory and Practice of Digital Libraries150161HeidelbergSpringer10.1007/978-3-642-33290-6_17Search in Google Scholar
Chao, T.C. (2011). Disciplinary reach: Investigating the impact of dataset reuse in the earth sciences. Proceedings of the American Society for Information Science and Technology, 48(1), 1–8.ChaoT.C.2011Disciplinary reach: Investigating the impact of dataset reuse in the earth sciencesProceedings of the American Society for Information Science and Technology4811810.1002/meet.2011.14504801125Search in Google Scholar
Fader, A., Soderland, S., & Etzioni, O. (2011). Identifying relations for open information extraction. Proceedings of the Conference on Empirical Methods in Natural Language Processing (pp. 1535–1545). Association for Computational Linguistics.FaderA.SoderlandS.EtzioniO.2011Identifying relations for open information extractionProceedings of the Conference on Empirical Methods in Natural Language Processing15351545Association for Computational LinguisticsSearch in Google Scholar
Konkiel, S. (2013). Tracking citations and altmetrics for research data: Challenges and opportunities. Bulletin of the American Society for Information Science and Technology, 39(6), 27–32.KonkielS.2013Tracking citations and altmetrics for research data: Challenges and opportunitiesBulletin of the American Society for Information Science and Technology396273210.1002/bult.2013.1720390610Search in Google Scholar
Mayernik, M.S. (2013). Bridging data lifecycles: Tracking data use via data citations workshop report. Technical Report, National Center for Atmospheric Research.MayernikM.S.2013Bridging data lifecycles: Tracking data use via data citations workshop reportTechnical Report, National Center for Atmospheric ResearchSearch in Google Scholar
Mooney, H., & Newton, M.P. (2012). The anatomy of a data citation: Discovery, reuse, and credit. Journal of Librarianship and Scholarly Communication, 1(1), article no. 1.MooneyH.NewtonM.P.2012The anatomy of a data citation: Discovery, reuse, and creditJournal of Librarianship and Scholarly Communication11article no. 110.7710/2162-3309.1035Search in Google Scholar
Névéol, A., Wilbur, W.J., & Lu, Z. (2011). Extraction of data deposition statements from the literature: A method for automatically tracking research results. Bioinformatics, 27(23), 3306–3312.NévéolA.WilburW.J.LuZ.2011Extraction of data deposition statements from the literature: A method for automatically tracking research resultsBioinformatics27233306331210.1093/bioinformatics/btr573322336821998156Search in Google Scholar
Parsons, M.A., Duerr, R., & Minster, J.B. (2010). Data citation and peer review. Eos, Transactions American Geophysical Union, 91(34), 297–298.ParsonsM.A.DuerrR.MinsterJ.B.2010Data citation and peer reviewEos, Transactions American Geophysical Union913429729810.1029/2010EO340001Search in Google Scholar
Piwowar, H.A. (2011). Who shares? Who doesn’t? Factors associated with openly archiving raw research data. PLOS One, 6(7), e18657.PiwowarH.A.2011Who shares? Who doesn’t? Factors associated with openly archiving raw research dataPLOS One67e1865710.1371/journal.pone.0018657313559321765886Search in Google Scholar
Piwowar, H.A., Carlson, J.D., & Vision, T.J. (2011). Beginning to track 1000 datasets from public repositories into the published literature. Proceedings of the American Society for Information Science and Technology, 48(1), 1–4.PiwowarH.A.CarlsonJ.D.VisionT.J.2011Beginning to track 1000 datasets from public repositories into the published literatureProceedings of the American Society for Information Science and Technology4811410.1002/meet.2011.14504801337Search in Google Scholar
Piwowar, H.A., & Chapman, W.W. (2008). Identifying data sharing in biomedical literature. AMIA Annual Symposium Proceedings (pp. 596–600).PiwowarH.A.ChapmanW.W.2008Identifying data sharing in biomedical literatureAMIA Annual Symposium Proceedings596600Search in Google Scholar
Piwowar, H.A., & Vision, T.J. (2013). Data reuse and the open data citation advantage. PeerJ, 1, e175.PiwowarH.A.VisionT.J.2013Data reuse and the open data citation advantagePeerJ1e17510.7717/peerj.175379217824109559Search in Google Scholar
Riloff, E. (1996). Automatically generating extraction patterns from untagged text. Proceedings of 13th National Conference on Artificial Intelligence (pp. 1044–1049). Menlo Park, California: AAAI Press.RiloffE.1996Automatically generating extraction patterns from untagged textProceedings of 13th National Conference on Artificial Intelligence10441049Menlo Park, CaliforniaAAAI PressSearch in Google Scholar
Robinson, N., Jiménez, E., & Torres, D. (2015). Analyzing data citation practices according to the Data Citation Index. Journal of the Association for Information Science and Technology. http://arxiv.org/abs, 1501.RobinsonN.JiménezE.TorresD.2015Analyzing data citation practices according to the Data Citation IndexJournal of the Association for Information Science and Technologyhttp://arxiv.org/abs1501Search in Google Scholar
Thelen, M., & Riloff, E. (2002). A bootstrapping method for learning semantic lexicons using extraction pattern contexts. Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing-Volume 10 (pp. 214–221). Association for Computational Linguistics.ThelenM.RiloffE.2002A bootstrapping method for learning semantic lexicons using extraction pattern contexts. Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing10214221Association for Computational Linguistics10.3115/1118693.1118721Search in Google Scholar
Torres, D., Martín, A., & Fuente, E. (2014). Analysis of the coverage of the Data Citation Index–Thomson Reuters: Disciplines, document types and repositories. Revista Española De Documentación Científica, 37(1): 95–97.TorresD.MartínA.FuenteE.2014Analysis of the coverage of the Data Citation Index–Thomson Reuters: Disciplines, document types and repositoriesRevista Española De Documentación Científica3719597Search in Google Scholar
