Open Access to Manuscripts, Open Science, and Big Data

Transcription

1 Open Access to Manuscripts, Open Science, and Big Data Progress, and the Elsevier Perspective in 2013 Presented by: Dan Morgan Title: Senior Manager Access Relations, Global Academic Relations

2 Company Blog Elsevier Connect 2

3 1. Open Access to Manuscripts 3

4 Current landscape Number of articles by payment mechanism and year Gold OA Subscription OA (Gold) articles made up 7% of STM total in : ~10% articles expected The level of uptake varies by field highest in Life and Health Sciences

5 NB: this focuses on OA journals, and does not include hybrid articles OA uptake varies by subject field Share of Scopus articles vs field weighted citation impact (2011) Gold OA subject: quantity vs. quality

6 One size fits all approach will not work Open Access availability by discipline

7 Authors look to the future % researchers intending to publish OA within next 12m All fields SSE Materials Science Engineering Chemistry Maths Computer science Physics & Astronomy Medicine & Allied Health Earth & Env sciences Life Sciences 0% 10% 20% 30% 40% 50% 60% 70% Researchers look for maximum visibility of their research in an effort to contribute to science and for career advancement (funding and promotions).

8 Sustainable access 8

9 OA Journals across all subjects Elsevier publishes 50+ Open Access Journals 9

10 OA articles in hybrid journals Elsevier offers this choice in established, peer reviewed journals 10

11 Hybrid Journal business model When calculating subscription prices, Elsevier only takes into account content published under the subscription model Elsevier accounts for each and every open access article Our subscription customers are not charged for open access articles we do not double dip We run the two publishing services entirely independently of one another 11

12 OA articles and journals Authors retain copyright The Authors Grant exclusive license to publish Choose user license: CC-BY (Attribution) CC-BY-NC-SA (Non-Commercial, Share Alike) CC-BY-NC-ND (Non-Commercial, No Derivatives) 12

13 APCs Full range $500 - $5000 Most in standard range $ $2500 Differences by type, funding situation, etc. 13

14 Green Open Access 14

15 Funder/organization agreements

16 Public Access/Embargoes Public access is extremely important (and additional mechanisms exist) Viability of journals which serve a scientific community is also important One should not risk the other they can work together 16

17 Key Messages Summary 1. Elsevier believes Subscription and Open Access Publishing can coexist 2. There are many ways to enable access to quality information, the main requirement is sustainability 3. Elsevier is enabling Open Access through multiple methods, including both Gold and Green Open Access 4. There is not a one-size-fits-all approach to enabling OA, particularly across different subjects 5. We have a strict no double dipping policy 6. Elsevier welcomes the opportunity to discuss OA options with all stakeholders

18 2. Big data, research data, open data 18

19 Elsevier: already engaged

20 General instruction Elsevier encourages authors to deposit raw experimental data at relevant data repositories. Instructions for authors depend on the data repository: in some cases data is extracted from the article by curators, while in other cases authors need to upload their data manually. 20

21 Already in place: Database linking Referencing data in articles through tagging identifiers or accession numbers: identify these entities by: database abbreviation: data identifier Data DOI: Elsevier supports Data DOI as persistent identifiers for scientific data. If Data DOI are included in an article, it will automatically turn into a link to your data on ScienceDirect. Linked data repository banners on ScienceDirect: Elsevier collaborates with selected data repositories to show banner links next to relevant articles on ScienceDirect. 21

22 Database linking: visualization Data visualization and integration applications Close collaboration with selected data repositories the Protein Viewer (with PDB), the PANGAEA data visualization tool the Genome Viewer (with NCBI). Visualize data and integrate it into the online reading experience 22

23 E.g. Genome Viewer The Genome Viewer provides functionality for viewing and analyzing sequence data of genes mentioned in articles in ScienceDirect. Scans the article Builds a list of available sequences based on NCBI accession numbers tagged in this article List appears in a dropdown menu within the Genome Viewer User can select the accession number from the dropdown and the Genome Viewer will be refreshed with the annotated sequence map for that selection 23

24 E.g. PANGAEA PANGAEA Related Data provides geo-referenced, citable datasets from earth and life sciences, archived as supplementary data from publications Display a Google map indicating the geographical coverage of each dataset. Clicking on the dataset indicator reveals information about the dataset, along with a link to PANGAEA where you can view the full information about the dataset and download it. PANGAEA is operated as an Open Access library aimed at archiving, publishing and distributing geo-referenced data from earth and life sciences. Each dataset can be identified, shared, published and cited by using a Digital Object Identifier (DOI). Data are archived as supplements to publications or as citable data collections. 24

25 See full list, recommend more 25

26 New: Research Data Services 26

27 Open data principles Open data all data must be open and available. Elsevier is not seeking and does not want copyright or ownership of research data Collaboration - the model must be derived in collaboration with the research community and funding agencies, not driven by any publisher Transparency if money is made, then some must fund the repositories themselves, as this is all for nothing if they are not sustainable, or run out of funding Selling High end analytics services? Charging for industry/non-academic use? 27

28 Data Disclosure Pilots RDS will work with research and data communities and research institutions to pilot full data disclosure services: data wrangling and data management from research lab to discipline-specific repositories, back with credit and impact assessment. 28

29 Help Research Labs by Enhancing discoverability of research data attributable to the university and the research team Surfacing credit/impact for the university, the research team, and the funding bodies Getting acknowledgement by the funding bodies of the disclosure/sharing of the data 29

30 Help institutions with Increased rigor of data management Consistency Best practices Research data overview is available from metadata in research management information systems Step toward completeness of research data management Compliance to funding body requirements, stronger base for funding requests Increased visibility, discoverability, credit 30

31 Contact: Anita de Waard VP Research Data Collaborations 31

32 3. Open Science 32

33 Cortex: Registered Reports 33

34 Cortex (2) Experimental methods and proposed analyses are pre-registered and reviewed before data are collected Agreed publication of their future results providing that authors adhere precisely to registered protocol Experimental data submitted with Registered Reports made publicly available 34

35 Open data for this article ScienceDirect application in development that will surface for download any supplementary data for Registered Reports (if the article is not OA) 35

36 Reproducibility considerations Internal experiments and pilots E.g. Journal of Research in Personality encourages replication studies Engagement with external pilots Reproducibility project Open Science Framework Reproducibility Initiative Science Exchange Study incentives, rewards (e.g. Badges, profiles) 36

37 Innovation Executable Paper Collage 1 st prize winner in Grand Challenge Digital datasets and computer code are often missing from flat journal articles Collage application enables researchers to share computational elements of the research papers And enables readers to see, change, and interact with these elements Crucial for reproducibility 37

38 Key message summary Always consider sharing your data, either with the article OR in a open data repository If the data repository can be linked to your article, ensure that you have done this Consider an institutional pilot with Elsevier s Research Data Services to see how we can help with managing your data (all remains open) Keep a look out for more interesting initiatives around transparency and reproducibility, and consider adopting some of these principles These topics will become even more important in 38 future

39 Questions THANK YOU Dan Morgan Senior Manager, Universal Access Elsevier, San Diego, CA 39