1. Because good research needs good dataWhat support will you need and when willyou need it? Joy Davidson and Sarah Jones Digital Curation Centre, Glasgowjoy.davidson@glasgow.ac.uk sarah.jones@glasgow.ac.ukFunded by: University of the Arts, DCC101, London, 19th November 2012

2. Because good research needs good dataKey questions researchers may have: when do I need to develop a data management plan? what data do I need to keep? what are the policies of GU, funders and data repositories? where should I store my data? what kind of license will I need for my data? how can I make the most impact with my data?University of the Arts, DCC101, London, 19th November 2012 3. Because good research needs good dataWhen do researchers need to develop adata management plan?GU policyCollaborate with support staff in colleges/schools and centralservices to undertake sound research data management as afundamental part of good research practice. As early as possible!University of the Arts, DCC101, London, 19th November 2012 4. Because good research needs good dataWhat do I need to consider when creatingdata? GU Policy Undertake research activity to the standards outlined in the Universitys Code of Good Research Practice. Data should be kept to allow for validation of results. Minimise risk of damage to reputation foryou and the university. University of the Arts, DCC101, London, 19th November 2012 5. Because good research needs good dataWhere should I store my data?GU PolicyWork with IT Services and College IT teams to identifystorage requirements that may exceed that currentlyoffered by the institution.Work with research support staff to identify key researchdata outputs that must be retained to enable validation(and potentially reuse). SoundSoftware Repository Service DataCite list of data repositorieshttp://datacite.org/repolist University of the Arts, DCC101, London, 19th November 2012 6. Because good research needs good dataWhy should I deposit my data in arepository?Data will be safeguarded for longer-termaccess.Data will more visible for validation, citationand reuse.Browsing data centre content can be a good wayfor researchers to find potential collaborators andgaps in research.University of the Arts, DCC101, London, 19th November 2012 7. Because good research needs good dataAHRC expectationsTechnical summary and plan to replace technical appendix as ofDecember 1, 2012 Section 1: Summary of Digital Outputs and Digital Technologies Section 2: Technical Methodology 2a: Standards and Formats 2b: Hardware and Software 2c: Data Acquisition, Processing, Analysis and Use Section 3: Technical Support and Relevant Experience Section 4: Preservation, Sustainability and Use 4a: Preserving Your Data 4b: Ensuring Continued Access and Use of Your Digital Outputshttp://www.ahrc.ac.uk/Funding-Opportunities/Research-funding/RFG/Application-guidance/Pages/Technical-Plan.aspx University of the Arts, DCC101, London, 19th November 2012 8. Because good research needs good dataFunders expectations The British Academy expects deposits to be offered for deposit at the AHDS or ESDS within a reasonable time after the completion of a project. Wellcome Trust expects as an absolute minimum, researchers should make relevant data available to others on publication of their research, however opportunities for timely and responsible pre-publication sharing of data should also be maximised. The Trust will provide grantholders with additional funding, through their institutions, to cover open access charges. EU states all files and documents have to be kept for up to five years after the end of the project for auditing purposes. Data management plan is a requirement. University of the Arts, DCC101, London, 19th November 2012 9. Because good research needs good dataInstitutional Policies and Strategies Support staff should familiarise themselves with institutional codes of research practice, standards and strategies. http://www.arts.ac.uk/research/data-management/University of the Arts, DCC101, London, 19th November 2012 10. Because good research needs good dataIssues to consider when advising researchersSustainability of repositoryPrior to advising on places of data deposit, check the datarepositorys sustainability claims both for researchers data andfor the repository itself.Exeter Data Archive (EDA) ExampleEDA regularly backs up its files according to current bestpractice.In the event of Exeter Data Archive being closed down, thedatabase will be transferred to another appropriate archive. University of the Arts, DCC101, London, 19th November 2012 11. Because good research needs good dataIssues to consider when advising researchersFormatsPrior to advising on a place of deposit, check to make sure thatthe data repository accepts the format(s) researcher will beworking with.Check to see if there are normalisation procedures (ingest,preservation).Exeter Data Archive ExampleEDA collects, preserves and makes available the Universitysresearch data. The content policy states that EDA will accept alltypes of data.University of the Arts, DCC101, London, 19th November 2012 12. Because good research needs good dataIssues to consider when advising researchersWhat information do researchers need to provide?Most repositories have a clearly defined set of minimuminformation requirements.EDA Example Title Data creator Department Date of publication Dataset descriptionUniversity of the Arts, DCC101, London, 19th November 2012 13. Because good research needs good dataDCC guidance details of how the data have been encoded (databasestructures, file formats); a list of software known to work with the data and theirsupporting information; indications of how the data relate to other data assets; administrative information (grant info, identifiers, checksums); University of the Arts, DCC101, London, 19th November 2012 14. Because good research needs good dataDCC guidance explanations of what the data represent (e.g. for sensor data,what the sensor was measuring and in what units); the processing history of the data (how they were generatedand subsequently transformed, when and by whom); a narrative describing the context (why the data weregenerated/collected, what methodology was used and why).This information is particularly importantfor users as they interpret the data, and determine whether andhow they can be integrated with other data. University of the Arts, DCC101, London, 19th November 2012 15. Because good research needs good dataIssues to consider when advising researchers Access Prior to advising on place of deposit, check to make sure that the data repositorys policy on access meets researchers and/or funders needs. EDA Example Anyone may access full items free of charge. Copies of full items generally can be: (a) reproduced, displayed or performed, given to third parties, and stored in a database in any format or medium (b) for personal research or study, educational, or not-for-profit purposes without prior permission or chargeUniversity of the Arts, DCC101, London, 19th November 2012 16. Because good research needs good dataIssues to consider when advising researchersRestrictions on AccessAre there any restrictions on access to researchers data that therepository should be made aware of?EDA Example Items can be deposited at any time, but will not be madepublicly visible until any publishers or funders embargo periodhas expired. This repository is not the publisher; it is merely the onlinearchive. University of the Arts, DCC101, London, 19th November 2012 17. Because good research needs good dataIssues to consider when advising researchersLicensingPrior to deposit, work with researchers to determine the bestlicense for their data. Make sure that researchers data licenserespects limits associated with any external data they are using.EDA Example Full items must not be sold commercially in any format ormedium without formal permission of the copyright holders. Any copyright violations are entirely the responsibility of theauthors/depositors Some full items are individually tagged with different rightspermissions and conditions . University of the Arts, DCC101, London, 19th November 2012 18. Because good research needs good dataGeneral guidance for data licensingTaken from DCC How-to guide on licensing datawww.dcc.ac.uk/resources/how-guidesTwo key issues to consider: Licensing legal instrument stating what people can and cantdo with data Waivers legal instrument allowing author to give up rights University of the Arts, DCC101, London, 19th November 2012 19. Because good research needs good dataCreative Commons Attribution condition - allows others to copy, distribute, display,and perform the work as long as the creator is given due credit. Non-commercial users cannot use the work for commercialpurposes Share-alike all derivative works must be releasedunder the same licence as the original workAttribution Non-Commercial Share Alike (CC-BY-NC-SA) http://creativecommons.org/ University of the Arts, DCC101, London, 19th November 2012 20. Because good research needs good dataIssues to consider when advising researchersCitationWork with researchers to help make their data citable to increaseyour potential impact (for researchers and REF).EDA ExampleOnce your work has been approved for entry into the EDA, youwill receive a notification via email. This email will contain apermanent link to your work - you should cite this link inpreference to the URL of the item as it provides continuingpersistent access in case the URL should ever change.University of the Arts, DCC101, London, 19th November 2012 21. Because good research needs good dataGeneral guidance for data citationTaken from DCC How-to guide on data citationwww.dcc.ac.uk/resources/how-guidesIf you have generated/collected data to be used as evidence inan academic publication, you should deposit them with a suitabledata archive or repository as soon as you are able.If they do not provide you with a persistent identifier or URL foryour data, encourage them to do so. University of the Arts, DCC101, London, 19th November 2012 22. Because good research needs good dataGeneral guidance for data citationWhen citing a dataset in a paper, use the citation style requiredby the editor/publisher. If no form is suggested for datasets, takea standard data citation style and adapt it to match the style fortextual publications.Give dataset identifiers in the form of a URL wherever possible,unless otherwise directed.Include data citations alongside those for textual publications.Some reference management packages now include support fordatasets, which should make this easier. University of the Arts, DCC101, London, 19th November 2012 23. Because good research needs good dataGeneral guidance for data citationCite datasets at the finest-grained level available that meets yourneed. If that is not fine enough, provide details of the subset ofdata you are using at the point in the text where you make thecitation.If a dataset exists in several versions, be sure to cite the exactversion you used.When you publish a paper that cites a dataset, notify therepository that holds the dataset, so it can add a link from thatdataset to your paper. University of the Arts, DCC101, London, 19th November 2012 24. Because good research needs good dataGeneral advice for support provision: Discipline specific support is better than generic Advice on where to store data during the active phase ofresearch as well Real life examples of good practice are helpfulUniversity of the Arts, DCC101, London, 19th November 2012 25. Because good research needs good dataBut remember!The validity and authenticity of the data is theresponsibility of the researcher. This is true for any data repository.Make sure researchers are aware of their responsibility.University of the Arts, DCC101, London, 19th November 2012 26. Because good research needs good dataBut remember!You cant do the work for researchers this is acollaborative process.Start conversations at the bid stage/start of PhDand keep communications going.Feed into the KAPUR project as it progressesto help shape effective infrastructure and supportservices. University of the Arts, DCC101, London, 19th November 2012 27. Because good research needs good dataUseful resources - DCC Tools catalogueManaging datahttp://www.dcc.ac.uk/resources/external/tools-services/managing-active-research-dataSharing and tracking reusehttp://www.dcc.ac.uk/resources/external/tools-services/sharing-output-and-tracking-impactUniversity of the Arts, DCC101, London, 19th November 2012 28. Because good research needs good data Any questions?For DCC guidance, tools and case studies see: www.dcc.ac.uk/resourcesFollow us on twitter @digitalcuration and #ukdccUniversity of the Arts, DCC101, London, 19th November 2012