{"8dfc845efeb05896489463d148d282d5hermann":{"DOI":"10.5281/ZENODO.3665371","ISBN":"","ISSN":"","URL":"https://zenodo.org/record/3665371","abstract":"","annote":"","author":[{"family":"Björnmalm","given":"Mattias"},{"family":"Cappelluti","given":"Federica"},{"family":"Dunning","given":"Alastair"},{"family":"Gheorghe","given":"Dana"},{"family":"Goraczek","given":"Malgorzata Zofia"},{"family":"Hausen","given":"Daniela"},{"family":"Hermann","given":"Sibylle"},{"family":"Kraft","given":"Angelina"},{"family":"Lavanchy","given":"Paula Martinez"},{"family":"Prisecaru","given":"Tudor"},{"family":"Sánchez","given":"Barbara"},{"family":"Strötgen","given":"Robert"}],"citation-label":"https://doi.org/10.5281/zenodo.3665371","collection-editor":[],"collection-title":"","container-author":[],"container-title":"","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2020"]],"literal":"2020"},"event-place":"","id":"8dfc845efeb05896489463d148d282d5hermann","interhash":"5b870e7962327431f1169495328cdba2","intrahash":"8dfc845efeb05896489463d148d282d5","issue":"","issued":{"date-parts":[["2020"]],"literal":"2020"},"keyword":"Data Management RDM, Research myOwn","misc":{"copyright":"Creative Commons Attribution 4.0 International","language":"en","doi":"10.5281/ZENODO.3665371"},"note":"","number":"","page":"","page-first":"","publisher":"Zenodo","publisher-place":"","status":"","title":"Advancing Research Data Management in Universities of Science and Technology","type":"article","username":"hermann","version":"","volume":""},"f55779758f60b22189e2a3453ad74ed2hermann":{"DOI":"10.6087/kcse.185","ISBN":"","ISSN":"","URL":"https://doi.org/10.6087%2Fkcse.185","abstract":"","annote":"","author":[{"family":"Kim","given":"Jihyun"}],"citation-label":"kim2020analysis","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Science Editing","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2020","feb"]],"literal":"2020"},"event-place":"","id":"f55779758f60b22189e2a3453ad74ed2hermann","interhash":"691c402142b189059ccf38373fef527e","intrahash":"f55779758f60b22189e2a3453ad74ed2","issue":"1","issued":{"date-parts":[["2020","feb"]],"literal":"2020"},"keyword":"data diss documentation journal","misc":{"doi":"10.6087/kcse.185"},"note":"","number":"1","number-of-pages":"7","page":"16--23","page-first":"16","publisher":"Korean Council of Science Editors","publisher-place":"","status":"","title":"An analysis of data paper templates and guidelines: types of contextual information described by data journals","type":"article-journal","username":"hermann","version":"","volume":"7"},"3bf02dd14ab64689afccbc9cea48a166hermann":{"DOI":"10.1007/s00778-017-0486-1","ISBN":"","ISSN":"1066-8888","URL":"https://doi.org/10.1007/s00778-017-0486-1","abstract":"Provenance refers to any information describing the production process of an end product, which can be anything from a piece of digital data to a physical object. While this survey focuses on the former type of end product, this definition still leaves room for many different interpretations of and approaches to provenance. These are typically motivated by different application domains for provenance (e.g., accountability, reproducibility, process debugging) and varying technical requirements such as runtime, scalability, or privacy. As a result, we observe a wide variety of provenance types and provenance-generating methods. This survey provides an overview of the research field of provenance, focusing on what provenance is used for (what for?), what types of provenance have been defined and captured for the different applications (what form?), and which resources and system requirements impact the choice of deploying a particular provenance solution (what from?). For each of these three key questions, we provide a classification and review the state of the art for each class. We conclude with a summary and possible future research challenges.","annote":"","author":[{"family":"Herschel","given":"Melanie"},{"family":"Diestelkämper","given":"Ralf"},{"family":"Ben Lahmar","given":"Houssem"}],"citation-label":"herschel2017survey","collection-editor":[],"collection-title":"","container-author":[],"container-title":"The VLDB Journal","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2017","dec"]],"literal":"2017"},"event-place":"Secaucus, NJ, USA","id":"3bf02dd14ab64689afccbc9cea48a166hermann","interhash":"ba248b08633a6f0cb1c0884bff45ccf0","intrahash":"3bf02dd14ab64689afccbc9cea48a166","issue":"6","issued":{"date-parts":[["2017","dec"]],"literal":"2017"},"keyword":"data provenance","misc":{"issn":"1066-8888","acmid":"3159194","issue_date":"December  2017","numpages":"26","doi":"10.1007/s00778-017-0486-1"},"note":"","number":"6","number-of-pages":"25","page":"881--906","page-first":"881","publisher":"Springer-Verlag New York, Inc.","publisher-place":"Secaucus, NJ, USA","status":"","title":"A Survey on Provenance: What for? What Form? What from?","type":"article-journal","username":"hermann","version":"","volume":"26"},"87ec74a9fa93db644f40f89192288cd9hermann":{"DOI":"10.1109/MIC.2011.68","ISBN":"","ISSN":"1089-7801","URL":"","abstract":"","annote":"","author":[{"family":"Dustdar","given":"S."},{"family":"Bhattacharya","given":"K."}],"citation-label":"dustdar2011social","collection-editor":[],"collection-title":"","container-author":[],"container-title":"IEEE Internet Computing","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2011","may"]],"literal":"2011"},"event-place":"","id":"87ec74a9fa93db644f40f89192288cd9hermann","interhash":"bb7ce68329eccfd382f4fc79e955d3bf","intrahash":"87ec74a9fa93db644f40f89192288cd9","issue":"3","issued":{"date-parts":[["2011","may"]],"literal":"2011"},"keyword":"Collaboration computing data network soc2018 social workflow","misc":{"issn":"1089-7801","doi":"10.1109/MIC.2011.68"},"note":"","number":"3","number-of-pages":"5","page":"64-69","page-first":"64","publisher":"","publisher-place":"","status":"","title":"The Social Compute Unit","type":"article-journal","username":"hermann","version":"","volume":"15"},"87d450dbc1fad86ebb563e9d880e079ahermann":{"DOI":"10.7287/peerj.preprints.2630v1","ISBN":"","ISSN":"2167-9843","URL":"https://doi.org/10.7287/peerj.preprints.2630v1","abstract":"Software is data, but it is not just data. While \"data\" in computing and information science can refer to anything that can be processed by a computer, software is a special kind of data that can be a creative, executable tool that operates on data. However, software and data are similar in that they both traditionally have not been cited in publications. This paper discusses the differences between software and data in the context of citation, by providing examples and referring to evidence in the form of citations.","annote":"","author":[{"family":"Katz","given":"Daniel S"},{"family":"Niemeyer","given":"Kyle E"},{"family":"Smith","given":"Arfon M"},{"family":"Anderson","given":"William L"},{"family":"Boettiger","given":"Carl"},{"family":"Hinsen","given":"Konrad"},{"family":"Hooft","given":"Rob"},{"family":"Hucka","given":"Michael"},{"family":"Lee","given":"Allen"},{"family":"Löffler","given":"Frank"},{"family":"Pollard","given":"Tom"},{"family":"Rios","given":"Fernando"}],"citation-label":"katz2016software","collection-editor":[],"collection-title":"","container-author":[],"container-title":"PeerJ Preprints","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2016","dec"]],"literal":"2016"},"event-place":"","id":"87d450dbc1fad86ebb563e9d880e079ahermann","interhash":"223215b1d2795d612a8f751347b3a7e8","intrahash":"87d450dbc1fad86ebb563e9d880e079a","issue":"","issued":{"date-parts":[["2016","dec"]],"literal":"2016"},"keyword":"citation data forschungsdaten software","misc":{"issn":"2167-9843","doi":"10.7287/peerj.preprints.2630v1"},"note":"","number":"","page":"e2630v1","page-first":"2630","publisher":"","publisher-place":"","status":"","title":"Software vs. data in the context of citation","type":"article-journal","username":"hermann","version":"","volume":"4"},"eca692cd4bbb275c249d38ba7e13a09ahermann":{"DOI":"10.15497/RDA00022","ISBN":"","ISSN":"","URL":"","abstract":"Recent efforts of the Research Data Alliance have established a conceptual model for the management of research data that promotes the use of digital objects, transcending the traditional notion of files and decoupling questions of access and use from location and storage. In this context, the need for building aggregations or collections of such objects has become an essential element. However, contemporary work on object collections focuses on primarily describing such collections through metadata, whereas research data management practice requires not only to describe collections, but to make them actionable by automated processes to be able to cope with ever increasing amounts and volumes of data. To this effect, this recommendation provides a comprehensive model for actionable collections and a technical interface specification to enable client-server interaction. It also reports on first adoption and implementation efforts across communities and institutions and provides perspectives on the use of data types in connection with collection structures, highlighting pathways for possible future work.","annote":"","author":[{"family":"Weigel","given":"Tobias"},{"family":"Bridget","given":"Almas;"},{"family":"Baumgardt","given":"Frederik"},{"family":"Zastrow","given":"Thomas"},{"family":"Schwardmann","given":"Ulrich"},{"family":"Hellström","given":"Maggie"},{"family":"Javier","given":"Quinteros;"},{"family":"Fleischer","given":"Dirk"}],"citation-label":"weigel2017recommendation","collection-editor":[],"collection-title":"","container-author":[],"container-title":"","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2017"]],"literal":"2017"},"event-place":"","id":"eca692cd4bbb275c249d38ba7e13a09ahermann","interhash":"4198bcbc78dd819f4bf13594bc0c1448","intrahash":"eca692cd4bbb275c249d38ba7e13a09a","issue":"","issued":{"date-parts":[["2017"]],"literal":"2017"},"keyword":"colection data forschungsdaten rda","misc":{"doi":"10.15497/RDA00022"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Recommendation on Research Data Collections","type":"article","username":"hermann","version":"","volume":""}}