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FOR COMMENT Join in the discussion", "websiteType": "", "date": "", "publisher": "", "place": "", "DOI": "", "citationKey": "", "url": "https://www.force11.org/group/fairgroup/fairprinciples", "accessDate": "2016-11-29", "shortTitle": "", "language": "Englisch", "rights": "", "extra": "", "tags": [ { "tag": "Forschungsdaten" }, { "tag": "Forschungsdatenmanagement" }, { "tag": "Metadaten" } ], "collections": [ "5UZ59VDG" ], "relations": {}, "dateAdded": "2016-11-29T08:42:29Z", "dateModified": "2020-04-16T06:51:22Z" } }, { "key": "M4UGHGZJ", "version": 1108, "library": { "type": "group", "id": 439756, "name": "Forschungsdaten", "links": { "alternate": { "href": "https://www.zotero.org/groups/forschungsdaten", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/439756/items/M4UGHGZJ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/forschungsdaten/items/M4UGHGZJ", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/439756/items/HKMWNEUP", "type": "application/json" } }, "meta": { "createdByUser": { "id": 763421, "username": "jakr", "name": "Jan Kröger", "links": { "alternate": { "href": "https://www.zotero.org/jakr", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "M4UGHGZJ", "version": 1108, "parentItem": "HKMWNEUP", "itemType": "attachment", "linkMode": "imported_url", "title": "Neuroth et al_2018_Aktives Forschungsdatenmanagement.pdf", "accessDate": "2018-04-17T15:04:36Z", "url": "https://www.degruyter.com/downloadpdf/j/abitech.2018.38.issue-1/abitech-2018-0008/abitech-2018-0008.xml", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Neuroth et al_2018_Aktives Forschungsdatenmanagement.pdf", "md5": null, "mtime": null, "tags": [], "relations": {}, "dateAdded": "2019-01-09T15:06:36Z", "dateModified": "2019-01-09T15:06:39Z" } }, { "key": "HKMWNEUP", "version": 1108, "library": { "type": "group", "id": 439756, "name": "Forschungsdaten", "links": { "alternate": { "href": "https://www.zotero.org/groups/forschungsdaten", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/439756/items/HKMWNEUP", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/forschungsdaten/items/HKMWNEUP", "type": "text/html" } }, "meta": { "createdByUser": { "id": 763421, "username": "jakr", "name": "Jan Kröger", "links": { "alternate": { "href": "https://www.zotero.org/jakr", "type": "text/html" } } }, "creatorSummary": "Neuroth et al.", "parsedDate": "2018", "numChildren": 1 }, "data": { "key": "HKMWNEUP", "version": 1108, "itemType": "journalArticle", "title": "Aktives Forschungsdatenmanagement", "creators": [ { "creatorType": "author", "firstName": "Heike", "lastName": "Neuroth" }, { "creatorType": "author", "firstName": "Claudia", "lastName": "Engelhardt" }, { "creatorType": "author", "firstName": "Jochen", "lastName": "Klar" }, { "creatorType": "author", "firstName": "Jens", "lastName": "Ludwig" }, { "creatorType": "author", "firstName": "Harry", "lastName": "Enke" } ], "abstractNote": "Forschungsdatenmanagement und damit einhergehend Forschungsdatenmanagementpläne nehmen national und international an Bedeutung zu. Nicht nur, dass verschiedene Förderorganisationen wie die National Science Foundation (USA), der Schweizerische Nationalfonds (SNF), die Deutsche Forschungsgemeinschaft (DFG) sowie die Europäische Kommission mit Horizon 2020 (H2020) bereits bei Projektanträgen Auskunft über den Umgang mit den nachgenutzten oder erstellten Forschungsdaten verlangen, es beschäftigen sich auch mehr und mehr Initiativen wie zum Beispiel international die Research Data Alliance oder in Deutschland die DINI/nestor-Arbeitsgruppe Forschungsdaten mit dem Thema. International setzt sich dabei mehr und mehr die Erkenntnis durch, dass es im Umgang mit Forschungsdaten nicht mit einem einmaligen Erstellen eines Forschungsdatenmanagementplans getan ist, sondern dass sich die Pläne aktiv dem Verlauf des Forschungsprozesses anpassen und für verschiedene Bedarfe zur Verfügung gestellt werden müssen. So kann es sinnvoll und notwendig sein, weitere Beteiligte wie zum Beispiel IT-Support oder übergeordnete Datenmanager beim Erstellen und Aktualisieren eines Forschungsdatenmanagementplans zu berücksichtigen. Daher muss ein Werkzeug zur Unterstützung von diesen Plänen über das bloße Ausfüllen von Vorlagen der Förderorganisation hinaus weitere Aufgaben erfüllen und so den gesamten Prozess des Forschungsdatenmanagements unterstützen. Der Research Data Management Organiser (RDMO) ist ein solches Werkzeug, das im Rahmen eines DFG-Projektes entwickelt und mit Hilfe unterschiedlicher Gruppen von Nutzenden getestet wurde. Das RDMO-Tool ist multilingual, flexibel an Community- und Organisationsanforderungen anpassbar und unterstützt verschiedene Aufgaben wie zum Beispiel unterschiedliche Export-Funktionen oder die Erledigung zeitlich gebundener Tasks. In einem DFG-Nachfolgeprojekt, das Ende 2017 gestartet ist, werden in RDMO wichtige Erweiterungen sowohl technischer Art als auch bezogen auf verschiedene Aspekte der Nachhaltigkeit vorgenommen.", "publicationTitle": "ABI Technik", "publisher": "", "place": "", "date": "2018", "volume": "38", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "55–64", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1515/abitech-2018-0008", "citationKey": "", "url": "https://www.degruyter.com/view/j/abitech.2018.38.issue-1/abitech-2018-0008/abitech-2018-0008.xml", "accessDate": "2018-04-17T15:04:35Z", "PMID": "", "PMCID": "", "ISSN": "0720-6763", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "DeGruyter", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "IV6VUJX5" ], "relations": {}, "dateAdded": "2019-01-09T15:06:36Z", "dateModified": "2019-01-09T15:06:36Z" } }, { "key": "U96EW7SU", "version": 1107, "library": { "type": "group", "id": 439756, "name": "Forschungsdaten", "links": { "alternate": { "href": "https://www.zotero.org/groups/forschungsdaten", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/439756/items/U96EW7SU", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/forschungsdaten/items/U96EW7SU", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/439756/items/85S9M8BF", "type": "application/json" } }, "meta": { "createdByUser": { "id": 763421, "username": "jakr", "name": "Jan Kröger", "links": { "alternate": { "href": "https://www.zotero.org/jakr", "type": "text/html" } } } }, "data": { "key": "U96EW7SU", "version": 1107, "parentItem": "85S9M8BF", "itemType": "attachment", "linkMode": "imported_url", "title": "Snapshot", "accessDate": "2018-10-29T10:00:39Z", "url": "https://depositonce.tu-berlin.de//handle/11303/8372", "note": "", "contentType": "text/html", "charset": "utf-8", "filename": "8372.html", "md5": null, "mtime": null, "tags": [], "relations": {}, "dateAdded": "2019-01-09T15:03:39Z", "dateModified": "2019-01-09T15:03:39Z" } }, { "key": "85S9M8BF", "version": 1107, "library": { "type": "group", "id": 439756, "name": "Forschungsdaten", "links": { "alternate": { "href": "https://www.zotero.org/groups/forschungsdaten", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/439756/items/85S9M8BF", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/forschungsdaten/items/85S9M8BF", "type": "text/html" } }, "meta": { "createdByUser": { "id": 763421, "username": "jakr", "name": "Jan Kröger", "links": { "alternate": { "href": "https://www.zotero.org/jakr", "type": "text/html" } } }, "creatorSummary": "Hiemenz and Kuberek", "parsedDate": "2018-10-22", "numChildren": 1 }, "data": { "key": "85S9M8BF", "version": 1107, "itemType": "report", "title": "Empfehlungen zur Erstellung institutioneller Forschungsdaten-Policies. Das Forschungsdaten-Policy-Kit als generischer Baukasten mit Leitfragen und Textbausteinen für Hochschulen in Deutschland", "creators": [ { "creatorType": "author", "firstName": "Bea", "lastName": "Hiemenz" }, { "creatorType": "author", "firstName": "Monika", "lastName": "Kuberek" } ], "abstractNote": "Forschungsdaten bilden das Fundament wissenschaftlicher Erkenntnis und stellen eine wertvolle Ressource dar, die es langfristig für Wissenschaft und Forschung wie auch für die Gesellschaft zu bewahren und zu nutzen gilt. Aufbewahrung und Zugänglichmachung von Forschungsdaten im Sinne der FAIR-Prinzipien tragen dazu bei, Forschungsergebnisse zum einen nachvollziehbar und überprüfbar zu machen, zum anderen neue wissenschaftliche Fragestellungen zu generieren sowie Daten aus unterschiedlichen Kontexten zu verknüpfen, wodurch neue Forschungsräume erschlossen werden können. Eine Forschungsdaten-Policy (FD-Policy) gibt Forschenden einen Orientierungsrahmen im Forschungsdatenmanagement (FDM) und sorgt dafür, dass sie die Anforderungen der Forschungsförderer erfüllen können. Für die Einrichtung selbst bietet eine FD-Policy die Chance, Entwicklungspotenziale im Bereich FDM zu erkennen, indem sie im Zuge der FD-Policy-Erstellung den Ist-Zustand ihrer technischen Infrastruktur und Serviceleistungen eruieren und den Soll-Zustand herausarbeiten kann. Angesichts wachsender Datenmengen stellen Forschungsdaten eine Herausforderung dar und bedürfen der permanenten Hinterfragung und Selbst-Vergewisserung durch die Hochschulen, wie sie mit ihren Forschungsdaten umgehen wollen. Zur dauerhaften Verankerung der damit einhergehenden strategischen Fragestellungen in den Hochschulleitungen sind FD-Policies und ihre regelmäßige Evaluierung und Anpassung probate Mittel. \nJede Hochschule hat im Bereich Forschungsdatenmanagement ihre individuellen Rahmenbedingungen, die bei der Erstellung ihrer Forschungsdaten-Policy zu berücksichtigen sind. Als Handlungsanleitung und zur Unterstützung der Hochschulen hat die Technische Universität Berlin mit dem hier vorliegenden Forschungsdaten-Policy-Kit Empfehlungen in Form eines generischen Baukastensystems erstellt, das sowohl den allgemeinen als auch den individuellen Bedingungen Rechnung trägt. Das Forschungsdaten-Policy-Kit gliedert sich in drei Teile: Im ersten Abschnitt sind in den Vorüberlegungen grundlegende Fragen formuliert, mit deren Klärung vor der eigentlichen Erstellung der Forschungsdaten-Policy, begonnen werden sollte. Das Forschungsdaten-Policy-Schema mit der Übersicht über die inhaltlichen Bestandteile im zweiten Abschnitt schafft Klarheit über die Kernbereiche einer Forschungsdaten-Policy und dient als Vorlage zur Strukturierung der Inhalte. Die Leitfragen und Muster-Textbausteine im dritten Abschnitt sind das Kernstück des Forschungsdaten-Policy Kit. Anhand der Leitfragen kann jede Einrichtung die für sie relevanten Inhalte herausfiltern und die Forschungsdaten-Policy ihren spezifischen Gegebenheiten und dem eigenen Forschungsverständnis entsprechend gestalten. \nIn die Entwicklung des Forschungsdaten-Policy-Kit sind die Ergebnisse der Analyse der bis Ende 2017 veröffentlichten institutionellen Forschungsdaten-Policies deutscher Universitäten, die Resultate aus dem Abgleich mit internationalen Empfehlungen und die Bilanz aus Experteninterviews eingeflossen. Als Ergänzung zum Forschungsdaten-Policy-Kit wird die TU Berlin Anfang 2019 einen strategischen Leitfaden veröffentlichen, der einen vertiefenden Einblick in die Abläufe, Prozesse und strategischen Überlegungen bei der Entwicklung einer institutionellen Forschungsdaten-Policy geben soll. \nDas Projekt Modalitäten und Entwicklung institutioneller Forschungsdaten-Policies der TU Berlin ist Teilprojekt des zweijährigen BMBF-Verbundvorhabens „Erarbeitung generalisierbarer Strategien und Lösungen für das Forschungsdatenmanagement unter Einbeziehung bestehender Expertise an universitären Zentraleinrichtungen – FDMentor“, das im Mai 2017 begonnen wurde. FDMentor zielt darauf ab, die strategische Entwicklung des FDM an deutschen Hochschulen durch für die Nachnutzung geeignete Roadmaps, Handlungsempfehlungen und Good-Practice-Beispiele gezielt zu fördern und zu beschleunigen. 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Nicht selten gehen damit rechtliche Problematiken einher. Angefangen bei der Frage, wem denn diese Daten „gehören“ bis hin zu der Problematik, ob bestimmte Daten überhaupt archiviert werden dürfen und wer für einen eventuellen Datenverlust haften muss. Das vorliegende Werk legt dabei besonderes Augenmerk auf die urheberrechtlichen, datenschutzrechtlichen sowie haftungsrechtlichen Problematiken, welche eine digitale Archivierung mit sich bringen kann. Des Weiteren wird beleuchtet, welche Überlegungen im Vorfeld einer Archivierung angestellt werden müssen und welche Maßnahmen getroffen werden sollten, um rechtlichen Schwierigkeiten vorzubeugen. Die Arbeit soll daher auch als rechtlicher Leitfaden für Archivierungsprojekte dienen, weshalb unter anderem auch Vorschläge für die Formulierung entsprechender Vertragsklauseln enthalten sind. 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