{ "types" : { "Bookmark" : { "pluralLabel" : "Bookmarks" }, "Publication" : { "pluralLabel" : "Publications" }, "GoldStandardPublication" : { "pluralLabel" : "GoldStandardPublications" }, "GoldStandardBookmark" : { "pluralLabel" : "GoldStandardBookmarks" }, "Tag" : { "pluralLabel" : "Tags" }, "User" : { "pluralLabel" : "Users" }, "Group" : { "pluralLabel" : "Groups" }, "Sphere" : { "pluralLabel" : "Spheres" } }, "properties" : { "count" : { "valueType" : "number" }, "date" : { "valueType" : "date" }, "changeDate" : { "valueType" : "date" }, "url" : { "valueType" : "url" }, "id" : { "valueType" : "url" }, "tags" : { "valueType" : "item" }, "user" : { "valueType" : "item" } }, "items" : [ { "type" : "Bookmark", "id" : "https://puma.ub.uni-stuttgart.de/url/04286422e2d5fd5fb8fbb1cc7a2e0d3c/hermann", "tags" : [ "OAT22","data" ], "intraHash" : "04286422e2d5fd5fb8fbb1cc7a2e0d3c", "label" : "Welcome! - OpenAlex documentation", "user" : "hermann", "description" : "The OpenAlex dataset describes scholarly entities and how those entities are connected to each other. There are five types of entities:", "date" : "2022-09-21 10:39:25", "changeDate" : "2023-06-21 09:42:03", "count" : 1, "url" : "https://docs.openalex.org/" } , { "type" : "Bookmark", "id" : "https://puma.ub.uni-stuttgart.de/url/9a8b49bb4ac9cb6f719358f274ab2e21/hermann", "tags" : [ "carpentry","data","dataCarpentry","lernen" ], "intraHash" : "9a8b49bb4ac9cb6f719358f274ab2e21", "label" : "Data Carpentry", "user" : "hermann", "description" : "»Data Carpentry« is non-profit organization that develops and provides data skills training to researchers.", "date" : "2018-03-19 12:45:08", "changeDate" : "2018-03-19 11:45:08", "count" : 1, "url" : "http://www.datacarpentry.org/" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/28dfc845efeb05896489463d148d282d5/hermann", "tags" : [ "Data","Management","RDM,","Research","myOwn" ], "intraHash" : "8dfc845efeb05896489463d148d282d5", "interHash" : "5b870e7962327431f1169495328cdba2", "label" : "Advancing Research Data Management in Universities of Science and Technology", "user" : "hermann", "description" : "", "date" : "2024-01-09 16:52:45", "changeDate" : "2024-01-09 16:52:45", "count" : 8, "pub-type": "misc", "publisher":"Zenodo", "year": "2020", "url": "https://zenodo.org/record/3665371", "author": [ "Mattias Björnmalm","Federica Cappelluti","Alastair Dunning","Dana Gheorghe","Malgorzata Zofia Goraczek","Daniela Hausen","Sibylle Hermann","Angelina Kraft","Paula Martinez Lavanchy","Tudor Prisecaru","Barbara Sánchez","Robert Strötgen" ], "authors": [ {"first" : "Mattias", "last" : "Björnmalm"}, {"first" : "Federica", "last" : "Cappelluti"}, {"first" : "Alastair", "last" : "Dunning"}, {"first" : "Dana", "last" : "Gheorghe"}, {"first" : "Malgorzata Zofia", "last" : "Goraczek"}, {"first" : "Daniela", "last" : "Hausen"}, {"first" : "Sibylle", "last" : "Hermann"}, {"first" : "Angelina", "last" : "Kraft"}, {"first" : "Paula Martinez", "last" : "Lavanchy"}, {"first" : "Tudor", "last" : "Prisecaru"}, {"first" : "Barbara", "last" : "Sánchez"}, {"first" : "Robert", "last" : "Strötgen"} ], "copyright" : "Creative Commons Attribution 4.0 International", "language" : "en", "doi" : "10.5281/ZENODO.3665371", "bibtexKey": "https://doi.org/10.5281/zenodo.3665371" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2f55779758f60b22189e2a3453ad74ed2/hermann", "tags" : [ "data","diss","documentation","journal" ], "intraHash" : "f55779758f60b22189e2a3453ad74ed2", "interHash" : "691c402142b189059ccf38373fef527e", "label" : "An analysis of data paper templates and guidelines: types of contextual information described by data journals", "user" : "hermann", "description" : "", "date" : "2021-02-23 06:44:07", "changeDate" : "2021-02-23 05:44:07", "count" : 1, "pub-type": "article", "journal": "Science Editing","publisher":"Korean Council of Science Editors", "year": "2020", "url": "https://doi.org/10.6087%2Fkcse.185", "author": [ "Jihyun Kim" ], "authors": [ {"first" : "Jihyun", "last" : "Kim"} ], "volume": "7","number": "1","pages": "16--23", "doi" : "10.6087/kcse.185", "bibtexKey": "kim2020analysis" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/23bf02dd14ab64689afccbc9cea48a166/hermann", "tags" : [ "data","provenance" ], "intraHash" : "3bf02dd14ab64689afccbc9cea48a166", "interHash" : "ba248b08633a6f0cb1c0884bff45ccf0", "label" : "A Survey on Provenance: What for? What Form? What from?", "user" : "hermann", "description" : "A survey on provenance", "date" : "2018-06-29 10:07:39", "changeDate" : "2018-06-29 08:07:39", "count" : 1, "pub-type": "article", "journal": "The VLDB Journal","publisher":"Springer-Verlag New York, Inc.","address":"Secaucus, NJ, USA", "year": "2017", "url": "https://doi.org/10.1007/s00778-017-0486-1", "author": [ "Melanie Herschel","Ralf Diestelkämper","Houssem Ben Lahmar" ], "authors": [ {"first" : "Melanie", "last" : "Herschel"}, {"first" : "Ralf", "last" : "Diestelkämper"}, {"first" : "Houssem", "last" : "Ben Lahmar"} ], "volume": "26","number": "6","pages": "881--906","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.", "issn" : "1066-8888", "acmid" : "3159194", "issue_date" : "December 2017", "numpages" : "26", "doi" : "10.1007/s00778-017-0486-1", "bibtexKey": "herschel2017survey" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/287ec74a9fa93db644f40f89192288cd9/hermann", "tags" : [ "Collaboration","computing","data","network","soc2018","social","workflow" ], "intraHash" : "87ec74a9fa93db644f40f89192288cd9", "interHash" : "bb7ce68329eccfd382f4fc79e955d3bf", "label" : "The Social Compute Unit", "user" : "hermann", "description" : "", "date" : "2018-06-26 09:18:47", "changeDate" : "2018-06-26 07:19:54", "count" : 2, "pub-type": "article", "journal": "IEEE Internet Computing", "year": "2011", "url": "", "author": [ "S. Dustdar","K. Bhattacharya" ], "authors": [ {"first" : "S.", "last" : "Dustdar"}, {"first" : "K.", "last" : "Bhattacharya"} ], "volume": "15","number": "3","pages": "64-69", "issn" : "1089-7801", "doi" : "10.1109/MIC.2011.68", "bibtexKey": "dustdar2011social" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/287d450dbc1fad86ebb563e9d880e079a/hermann", "tags" : [ "citation","data","forschungsdaten","software" ], "intraHash" : "87d450dbc1fad86ebb563e9d880e079a", "interHash" : "223215b1d2795d612a8f751347b3a7e8", "label" : "Software vs. data in the context of citation", "user" : "hermann", "description" : "", "date" : "2018-03-23 14:15:39", "changeDate" : "2018-03-23 13:15:39", "count" : 3, "pub-type": "article", "journal": "PeerJ Preprints", "year": "2016", "url": "https://doi.org/10.7287/peerj.preprints.2630v1", "author": [ "Daniel S Katz","Kyle E Niemeyer","Arfon M Smith","William L Anderson","Carl Boettiger","Konrad Hinsen","Rob Hooft","Michael Hucka","Allen Lee","Frank Löffler","Tom Pollard","Fernando Rios" ], "authors": [ {"first" : "Daniel S", "last" : "Katz"}, {"first" : "Kyle E", "last" : "Niemeyer"}, {"first" : "Arfon M", "last" : "Smith"}, {"first" : "William L", "last" : "Anderson"}, {"first" : "Carl", "last" : "Boettiger"}, {"first" : "Konrad", "last" : "Hinsen"}, {"first" : "Rob", "last" : "Hooft"}, {"first" : "Michael", "last" : "Hucka"}, {"first" : "Allen", "last" : "Lee"}, {"first" : "Frank", "last" : "Löffler"}, {"first" : "Tom", "last" : "Pollard"}, {"first" : "Fernando", "last" : "Rios"} ], "volume": "4","pages": "e2630v1","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.", "issn" : "2167-9843", "doi" : "10.7287/peerj.preprints.2630v1", "bibtexKey": "katz2016software" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2eca692cd4bbb275c249d38ba7e13a09a/hermann", "tags" : [ "colection","data","forschungsdaten","rda" ], "intraHash" : "eca692cd4bbb275c249d38ba7e13a09a", "interHash" : "4198bcbc78dd819f4bf13594bc0c1448", "label" : "Recommendation on Research Data Collections", "user" : "hermann", "description" : "", "date" : "2018-03-20 14:17:35", "changeDate" : "2018-03-20 13:17:52", "count" : 2, "pub-type": "misc", "year": "2017", "url": "", "author": [ "Tobias Weigel","Almas; Bridget","Frederik Baumgardt","Thomas Zastrow","Ulrich Schwardmann","Maggie Hellström","Quinteros; Javier","Dirk Fleischer" ], "authors": [ {"first" : "Tobias", "last" : "Weigel"}, {"first" : "Almas;", "last" : "Bridget"}, {"first" : "Frederik", "last" : "Baumgardt"}, {"first" : "Thomas", "last" : "Zastrow"}, {"first" : "Ulrich", "last" : "Schwardmann"}, {"first" : "Maggie", "last" : "Hellström"}, {"first" : "Quinteros;", "last" : "Javier"}, {"first" : "Dirk", "last" : "Fleischer"} ], "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.", "doi" : "10.15497/RDA00022", "bibtexKey": "weigel2017recommendation" } ] }